Podcasts about Customer data platform

In this episode of the Shift AI Podcast, host Boaz welcomes Tony Owens, the recently appointed CEO of Amperity, a Seattle tech unicorn revolutionizing how companies leverage customer data in the age of AI. Drawing from over two decades at tech powerhouses Oracle and Salesforce, Tony shares his vision for the intersection of AI and customer data. The conversation explores how the traditional rules-based approach to customer data is being transformed by AI capabilities, enabling brands to create truly personalized experiences that fit into consumers' lives rather than interrupting them.Description:[01:30] Introduction to Tony Owens [03:09] Tony's Journey Through Oracle and Salesforce[05:18] The Amperity Story and Value Proposition[07:53] AI's Impact on Customer Data Platforms[09:38] Personalization and the Evolution of Customer Experience[16:10 ] Balancing Personalization with Privacy [18:02] Leadership in the Age of AI and Automation [21:39] Mentors and Influences in Tony's Career [25:03] The Future: 'Exciting and Uncertain'[27:29] Closing Thoughts and Future OutlookConnect with Tony OwensLinkedIn: https://www.linkedin.com/in/tony-alika-owens-a53a794Connect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy X: boazashkenazyEmail: shift@augmentedailabs.com

Note: David was with us a few weeks ago—you might have heard that episode. If you did, you probably noticed the audio issues. We pulled down that episode and invited David back for another chat. David Juan returns! In this episode, he explains CDPs—Customer Data Platforms—to Bob and Randy. CDPs pull data from systems like CRMs, marketing automation tools, advertising systems, etc to help create personalized experiences for each customer. David explains different types of CDPs, how they work, where they get data, and why they're used. First, though. we chatted about what we're watching and how it's difficult to keep up with all the shows across all the streaming platforms. David's side projects include Normal Coffee and Scrum Detroit Meetup.

Bonjour à tous,Une CDP permet de centraliser les données clients issues de différents canaux (site web, CRM, réseaux sociaux…) dans une seule et même plateforme. Résultat : une vision unifiée du client, essentielle pour personnaliser les campagnes marketing, améliorer l'expérience utilisateur, et augmenter la performance globale. Bref, un vrai couteau suisse pour les marketeurs data-driven.J'ai la chance de recevoir Oussama Ghanmi le CEO & Founder of DinMo une CDP qui se distingue par sa capacité a être plug and play. Avec lui nous allons comprendre l'écosystème qui entoure l'univers des CDP, ses concurrents, ses problématiques, bref vous allez tout savoir !▬▬▬ Merci ▬▬▬Un grand merci à mon sponsor lemageduSEA.com qui soutient le podcast bannouze, si vous avez une problématique sur le SEA foncez le voir de la part de bannouze▬▬▬ Liens ▬▬▬Le site de dinmo : https://www.dinmo.com/fr/Le profil Linkedin Oussama Ghanmi : https://www.linkedin.com/in/oussama-ghanmi-48140b66/Mon Profil Linkedin pour passer sur bannouze : https://www.linkedin.com/in/laurentperezweb/Pour nous soutenir il suffit de liker et de partager cet épisode, un grand merci à vous !

Looking to future-proof your email marketing strategy in a cookieless world?

David Juan returns! In this episode, he explains CDPs—Customer Data Platforms—to Bob and Randy. CDPs pull data from systems like CRMs, marketing automation tools, advertising systems, etc to help create personalized experiences for each customer. David explains different types of CDPs, how they work, where they get data, and why they're used. David also talks a bit about his recent health journey—it's important to pay attention to what you're body is doing and how to recognize what changes need to be made. David's side projects include Normal Coffee and Scrum Detroit Meetup.

Themen: - Datenschutz-Compliance bei der Implementierung einer Kundendatenplattform - Kein Arbeitslohn bei Schenkung von Gesellschaftsanteilen zur Sicherung der Unternehmensnachfolge Weitere Informationen finden Sie unter: https://blogs.pwc.de/de/steuern-und-recht

Are brands that lack a robust Customer Data Platform strategy losing the ability to deliver seamless, personalized customer experiences in an increasingly data-driven world? Today, we're joined by Beth Scagnoli, Vice President of Product Management at Redpoint Global, a company at the forefront of data-driven customer experience solutions. Beth's expertise spans Customer Data Platforms (CDPs), data quality, and marketing automation, making her uniquely positioned to discuss how organizations can harness the power of clean, observable, and composable data to create transformative customer experiences. ABOUT BETH SCAGNOLI Beth Scagnoli is a seasoned technology executive with over 20 years of cross-functional experience driving innovation, growth, and product adoption in the marketing technology space. As Vice President of Product Management at Redpoint Global, Beth spearheads the development and execution of product strategies that empower organizations to connect with their audiences through data-driven insights and personalized engagement. Prior to Redpoint Global, Beth held leadership positions at the Smithsonian Institution as well as Blackbaud. With a proven track record of launching successful platforms and fostering cross-functional collaboration, Beth combines deep technical expertise with a passion for solving customer challenges. A frequent speaker and thought leader in the MarTech industry, Beth is committed to advancing the capabilities of modern marketing tools. Beth resides with her family north of Boston and in her free time enjoys fitness, dance, and obsessively honing her skills in Wordle and other NYT Games. RESOURCES Redpoint Global website: https://www.redpointglobal.com  Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Listen to The Agile Brand without the ads. Learn more here: https://bit.ly/3ymf7hd Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Are brands that lack a robust Customer Data Platform strategy losing the ability to deliver seamless, personalized customer experiences in an increasingly data-driven world? Today, we're joined by Beth Scagnoli, Vice President of Product Management at Redpoint Global, a company at the forefront of data-driven customer experience solutions. Beth's expertise spans Customer Data Platforms (CDPs), data quality, and marketing automation, making her uniquely positioned to discuss how organizations can harness the power of clean, observable, and composable data to create transformative customer experiences. ABOUT BETH SCAGNOLI Beth Scagnoli is a seasoned technology executive with over 20 years of cross-functional experience driving innovation, growth, and product adoption in the marketing technology space. As Vice President of Product Management at Redpoint Global, Beth spearheads the development and execution of product strategies that empower organizations to connect with their audiences through data-driven insights and personalized engagement. Prior to Redpoint Global, Beth held leadership positions at the Smithsonian Institution as well as Blackbaud. With a proven track record of launching successful platforms and fostering cross-functional collaboration, Beth combines deep technical expertise with a passion for solving customer challenges. A frequent speaker and thought leader in the MarTech industry, Beth is committed to advancing the capabilities of modern marketing tools. Beth resides with her family north of Boston and in her free time enjoys fitness, dance, and obsessively honing her skills in Wordle and other NYT Games. RESOURCES Redpoint Global website: https://www.redpointglobal.com  Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Listen to The Agile Brand without the ads. Learn more here: https://bit.ly/3ymf7hd Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

What is the future of Customer Data Platforms in the context of recent acquisitions, the modularization of their offerings, and the privacy compliance challenges of first party data activation?  Matthew Niederberger is a seasoned Martech consultant with years of experience helping global organizations unlock the full potential of their marketing technology investments. As the founder of MarTech Therapy, his mission is to guide companies in optimizing their Martech stacks to drive better customer experiences and business outcomes.  With a deep understanding of Customer Data Platforms and a passion for bridging technology with strategy, Matthew brings both technical expertise and creative insights to the table. Beyond consulting, he shares his knowledge through his podcast and short-form videos, making complex topics accessible and engaging. References: Martech Therapy Matthew Niederberger on LinkedIn Jonathan Mendez: making the most of first-party data in the age of AI (Masters of Privacy) Tejas Manohar (Hightouch): data activation and composable CDPs in a privacy-first world (Masters of Privacy) IBM sued again in storm over Weather Channel data sharing (The Register) NBC, Peacock SDKs Let 3rd Parties Secretly Collect Users' Viewing History: Class Action Twilio's Software Development Kit, Segment, Embedded in Various Mobile Applications May Constitute a Violation Under CIPA  [ES] Paco Roldán: the CDP before the law, the logic, and the future (Masters of Privacy) 

Marc Benzahra, Software Senior Engineer at DinMo talks about how AI is transforming customer data activation! We discussed some important questions in this evolving space: ✅ Marc shared how AI is reshaping strategies to make customer insights more actionable and impactful ✅ Insightful look at the advanced AI models driving change and improving outcomes for customer data teams ✅ We discussed common barriers and how to bridge the gap for smoother AI adoption ✅ Marc highlighted the benefits of an AI-driven Customer Data Platform for building stronger customer connections and unlocking new growth opportunities What's your perspective on AI's role in customer data activation? #data #ai #bigdataparis #dinmo #theravitshow

We're thrilled to sit down with Michael Katz, the CEO of mParticle in this episode. mParticle is a leading customer data platform that helps businesses unify and activate their customer data to drive better marketing outcomes. They specialize in integrating various data sources to create unified customer profiles, enabling companies to deliver personalized and efficient marketing campaigns.In our conversation, Michael dives deep into the evolution of customer data management, sharing insights on how the shift from integration to intelligence is shaping the future of marketing. One of the key takeaways is his emphasis on the importance of building a strong first-party data foundation, which is crucial for businesses navigating the challenges of data privacy and third-party cookie deprecation. Another recurring theme is the collaboration between marketing and IT teams, highlighting the concept that "data is a team sport." MK discusses how aligning these departments can lead to better execution and more effective use of customer data. If you're a marketer looking to stay ahead in the rapidly changing landscape of customer data and marketing technology, then this episode is for you!Watch the video version of this podcast on Youtube ▶️: https://youtu.be/ECTN_VC5760 

Jonathan Mendez has been a founder and leader in Adtech and Martech for two decades, with a focus on building first-party data products to optimize media performance.  He is the founder and CEO at Neuralift AI, having prior to that been Chief Digital Officer at a major cruise line, and having also spent five years building composable CDPs (Customer Data Platform) for global retail brands and telcos. He was also the Founder and CEO of Yieldbot, which in 2016 was the fourth largest Digital Advertising Network. He was also the CSO at Offermatica, eventually acquired by Omniture, now part of Adobe.  Jonathan's blog has been active for 17 years and is a recognized source of insights into AdTech, MarTech or Media. References: Jonathan Mendez (blog): Optimize & Prophesize Neuralift AI Jonathan Mendez on X Jonathan Mendez on LinkedIn Tejas Manohar (Hightouch): data activation and composable CDPs in a privacy-first world (Masters of Privacy) Nicola Newitt (Infosum): the legal case for Data Clean Rooms (Masters of Privacy) Matthias Eigenmann (Decentriq): Confidential Computing, contractual relationships and legal bases for Data Clean Rooms (Masters of Privacy)  

In this latest episode of Hotel Moment, Karen Stephens sits down with Adam Mogelonsky, a Partner at Hotel Mogel Consulting Ltd. Adam delves into the pivotal role of Customer Data Platforms (CDPs) in revolutionizing hotel tech ecosystems, offering insights on how these tools streamline operations and enhance guest experiences. Discover how high-quality data can drive personalized marketing, improve email campaigns, and create a continuous feedback loop for refining hotel services. Tune in to explore the future of hotel tech, data-driven strategies, and the impact of seamless integration on delivering exceptional guest experiences.

Join me and Aharon to discuss the greater adoption of CDP technology with automotive dealers and how AI will power better engagement and sales process workflows.

You've likely heard us talk about composable approaches a bit on this show. Today, we're going to explore what it looks like to take a composable approach with a customer data platform with Kyle Martinowich, Senior Partnership Lead at GrowthLoop. He's going to share insights on the power of composable Customer Data Platforms and how they are reshaping businesses' approach to data segmentation and customer relationship management. RESOURCES Growthloop website: https://www.growthloop.com Register for the Medallia CX Day webinar: Building Loyalty: How Top Brands Create Forever Customers with CX - https://bit.ly/3M7dkQM Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Learn more about your ad choices. Visit megaphone.fm/adchoices

In this special episode of the Hotel Moment podcast, we're featuring a webinar conversation recorded and published by Hospitality Net. Jason Pirock, Head of Marketing at Springboard Hospitality and Adam Mogelonsky, Partner at Hotel Mogel Consulting Ltd., investigate how a Customer Data Platform turns guest interactions into conversions on every channel — web, email, text, and voice. Jason explains why nurturing guest relationships becomes second nature with a CDP by enabling guest data application across key touch points in the guest journey. Listen in and find out how your hotel can achieve record conversion rates and identify guest personas by grounding guest communication in personalization and segmentation with a CDP.

Tentokráte jsme přivítali Vojtu Kurku a Adama Sobotku ze společnosti Meiro, která se věnuje tzv. CDP neboli Customer Data Platform. To je takové CRM na steroidech, kdy se data zbíhají ze všech směrů a cílem je najít ultimátní identitu uživatele včetně chování. To se samozřejmě hodí pro lepší zacílení reklamy a tímpádem zvednutí obratu. Meiro platforma je navíc jak on-prem tak SaaS, což přináší další rozměr (nejen) devops zábavy. Užijte si to. *https://www.startupjobs.cz/nabidka/76633/python-developer-medior-senior-czech-startup-with-hq-in-singapore

In this episode of Enterprising Insights, host Keith Kirkpatrick discusses two Market Insight Reports that were recently published on FuturumGroup.com, focusing on Text-to-Image Generation Technology for the Enterprise, and on Customer Data Platforms. He discusses the key issues within each market, pulls out key insights from the report, and discusses the pitfalls and challenges to enterprises seeking to implement each type of software. Finally, he closes out the show with the “Rant or Rave” segment, where Kirkpatrick picks one item in the market, and he either champions or criticizes it.  

Want to add strategic pricing to your marketing tool box? Go to InteliChek or call 877-827-7273 and ask about our InteliShare Series!   InteliShare  contains all of our promotional tools that you can use to promote your favorable prices, including our InteliAds, the printable flyers that you can show off in easel displays, InteliMedia, for your Digital Media Boards AND InteliWidgets, so you can show off price comparisons on your website and even let your customers schedule from the widget.   Summary The conversation discusses the recent CDK cyber attack and its implications for data governance and cybersecurity in the retail automotive industry. Tim Hayden, CEO of Brain Trust Partners, highlights the importance of data literacy and the need for companies to build a single source of truth by unifying and resolving information. He emphasizes the significance of cybersecurity and regulatory compliance in the wake of the attack. The conversation also touches on the right to repair act and the challenges of managing comprehensive data and cybersecurity in the automotive industry. Hayden provides five key strategies for dealerships to shield themselves from cyber threats.   Takeaways Data literacy is crucial in understanding the role of data in artificial intelligence, media, and dealership operations. Dealerships need to invest in cybersecurity and ensure that vendors are SOC 2 tested. Implementing privileged and least privileged access protocols and enforcing regular password changes can enhance data security. Customer data platforms and master data management systems can improve operational efficiency and provide a backup in case of system disruptions. Dealerships should prioritize data management and protection to navigate the evolving landscape of data and technology. Brain+Trust Partners   Music: Featherland-Run For The Hills The Revolution-Midnight Revival Reveille-Bazaar  

Want to add strategic pricing to your marketing tool box? Go to InteliChek or call 877-827-7273 and ask about our InteliShare Series!   InteliShare  contains all of our promotional tools that you can use to promote your favorable prices, including our InteliAds, the printable flyers that you can show off in easel displays, InteliMedia, for your Digital Media Boards AND InteliWidgets, so you can show off price comparisons on your website and even let your customers schedule from the widget. Summary The conversation discusses the recent CDK cyber attack and its implications for data governance and cybersecurity in the retail automotive industry. Tim Hayden, CEO of Brain Trust Partners, highlights the importance of data literacy and the need for companies to build a single source of truth by unifying and resolving information. He emphasizes the significance of cybersecurity and regulatory compliance in the wake of the attack. The conversation also touches on the right to repair act and the challenges of managing comprehensive data and cybersecurity in the automotive industry. Hayden provides five key strategies for dealerships to shield themselves from cyber threats.   Takeaways Data literacy is crucial in understanding the role of data in artificial intelligence, media, and dealership operations. Dealerships need to invest in cybersecurity and ensure that vendors are SOC 2 tested. Implementing privileged and least privileged access protocols and enforcing regular password changes can enhance data security. Customer data platforms and master data management systems can improve operational efficiency and provide a backup in case of system disruptions. Dealerships should prioritize data management and protection to navigate the evolving landscape of data and technology. Brain+Trust Partners   Music: Featherland-Run For The Hills The Revolution-Midnight Revival Reveille-Bazaar  

In this Marketing Over Coffee: Learn about Customer Data Platforms, Virtual Event Content, Luxury Apple Watch Bands and more! Direct Link to File Brought to you by our sponsors: Wix Studio and NetSuite Customer Data Platform – a single customer record is maybe not required? What are the 3 functions of a CDP? Gemini showing […] The post CDP Functions, AI Creatives, Reddit and The Acolyte! appeared first on Marketing Over Coffee Marketing Podcast.

Subscribe to DTC Newsletter - ⁠https://dtcnews.link/signup Hello and welcome to the DTC Podcast! Today, we're diving deep into the future of SaaS with Richard Jones, the CRO of Wunderkind. Wunderkind is a pioneering performance marketing solution, leveraging AI to drive revenue for e-commerce brands. In this episode, Richard shares his bold prediction of an impending generational shift in the SaaS industry, driven by AI and its potential to replace human-centered workflows with outcome-based services. With nearly 30 years in the SaaS space, Richard's insights are invaluable for anyone looking to understand the next big wave in technology. Key Insights: AI's Role in SaaS Evolution: How AI will transition SaaS from human-centered workflows to outcome-based services. Wunderkind's Unique Model: Learn about Wunderkind's managed service approach and outcome-focused business model. The Future of E-commerce Marketing: How AI-driven campaigns and identity networks can significantly boost e-commerce revenue. Tune in to discover how AI is poised to revolutionize the SaaS industry and why Wunderkind is perfectly positioned to lead this change. Timestamps: 00:00 - Introduction 02:00 - The Role of AI in E-commerce: From Human to AI Agents 04:00 - Transition from On-premise to Cloud-based SaaS Solutions 08:00 - The Impact of AI on SaaS Business Models 11:00 - AI-Driven Outcome-Based Solutions: A New Paradigm 14:00 - The Future of Customer Data Platforms in an AI-Driven World 17:00 - Wunderkind's Unique Business Model and AI Integration 20:00 - How Wunderkind Drives Incremental Revenue for E-commerce Brands 23:00 - Building Identity Networks and First-Party Data Collection 27:00 - Future of E-commerce: Wunderkind Express for Small Businesses 29:00 - Closing Thoughts: The Generational Cull and Future Predictions Hashtags: #Ecommerce #AI #SaaS #Marketing #CustomerData #Wunderkind #DigitalMarketing #AIinEcommerce #BusinessGrowth #DTCPodcast #RichardJones #TechTrends #FutureOfWork #ArtificialIntelligence #IdentityNetwork #RevenueGrowth Subscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://dtcnews.link/pilothouseFollow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

Estamos de vuelta con una puesta al día y tenemos de todo: TikTok prohibido, el Privacy Sandbox atascado en la cocina, opinión sobre “Consent or Pay”, Meta AI vs. Google, Worldcoin congelado, Sora investigada, Teams/Office bajo la lupa, Avast vendiendo datos, multa a Glovo, proyecto de ley federal de protección de datos en EEUU… y mucho más. Todo ello en el post y casi todo comentado en las secciones de siempre. Con Cris Moro y Sergio Maldonado.  ePrivacy y marco regulatorio Multas y sanciones La AEPD ordenó a Worldcoin dejar de recabar datos biométricos con objetivos de identificación en un plazo de 72 horas por la vía de urgencia que en el GDPR permite saltarse el “one stop shop”. Worldcoin está basada en Alemania y había preparado el terreno con la autoridad bávara de protección de datos, pero aún así escogió España y Portugal como campo de pruebas. El proyecto ha generado importante alarma social, aparentemente recabando datos altamente sensibles sobre menores y adolescentes sin un propósito definido (“distinguir a humanos de robots”) y con la vinculación de perfiles a la aplicación móvil que permite acceder a criptomonedas o servicios futuros.  La AEPD, a petición de Garante (DPA italiana), impuso una multa de 550.000 euros a Glovo por no observar los principios más básicos en el tratamiento de los datos de repartidores. Se ha apreciado falta de transparencia (información facilitada en el registro inicial), privacidad desde el diseño, uso de decisiones automatizadas a través de un sistema de ranking/scoring que determina la asignación de cada pedido, y la transferencia a terceros fuera de los países en los que operan. Después de sufrir una multa de 16.5 millones de euros por parte de la FTC en Estados Unidos, la agencia checa de protección de datos ha impuesto una nueva sanción de unos 15 millones de euros al antivirus Avast por vender datos de navegación de sus clientes en el mercado publicitario, destacando sus afirmaciones falsas sobre la forma en que se anonimizaban los datos, y el uso exclusivamente estadístico de los mismos.  El abogado general de California anunció un acuerdo extrajudicial con DoorDash (reparto a domicilio), después de encontrarse una infracción del CPPA y CalOPPA por la participación de la plataforma en una cooperativa de intercambio de datos (“Second Party Data”), siendo esto equivalente a una venta de datos personales -y exigiendo un “opt-in”- en el sentido de la propia CCPA.  La AEPD impuso multas de 10.000 euros tanto a La Vanguardia como a NH Hoteles por violaciones en el uso de cookies. El medio de prensa fue sancionado por no proporcionar información clara y completa sobre el uso de cookies, mientras que la cadena hotelera fue multada por usar cookies no exentas, propias y de terceros sin consentimiento, además de no permitir rechazar o gestionar las cookies de manera granular. Se ha concedido una rebaja del 20% a esta última por estar en proceso de actualización de estos aspectos en su web.  El mes pasado Garante, la DPA italiana, anunció que estaba investigando a Sora (texto a vídeo), y solicitó información sobre sus fuentes de entrenamiento (ha circulado un vídeo en el que una consejera de OpenAI confesaba hacer uso de todo el catálogo de YouTube), y el uso de datos personales en ese proceso. Se le han pedido categorías de datos personales, fuentes y bases legales. También en marzo, el EDPS le pidió a la Comisión Europea que deje de usar Microsoft365 -que viene a ser Office, Teams, y todo el kit de productividad de Microsoft- por no haber analizado bien el marco contractual que permite a esta empresa tratar datos en Estados Unidos. El EDPS ha explicado que la Comisión Europea no ha proporcionado las medidas adecuadas para garantizar que los datos personales transferidos fuera de la Unión Europea cuenten con un nivel de protección equivalente (después de Schrems II). Además, tampoco se ha detallado qué tipo de datos han sido compartidos con Microsoft y otras compañías asociadas. El EDPS ha impuesto la obligación de suspender todos los flujos de datos derivados del uso de Microsoft365 a la Comisión Europea a partir del día 9 de diciembre. El EDPB publicó finalmente su opinión sobre “consentimiento o pago” el pasado 17 de abril, como continuación a la cuestión planteada por varias agencias en el contexto de la opción ofrecida por Instagram y Facebook (Meta), análoga a la recientemente desplegada por los grandes medios de comunicación. Hemos debatido el asunto largo y tendido en varias entrevistas del canal en inglés de este podcast. Novedades legislativas Como continuación a una ley propuesta por el congreso de EEUU para prohibir TikTok en el país, y cuando parecía que no superaría la aprobación del Senado, la iniciativa terminó votándose y aprobándose de forma conjunta al paquete de ayudas a Ucrania e Israel, terminando firmada por Joe biden el 24 de abril y resultando en una venta forzosa (o su prohibición) en el plazo de nueve meses que podrían extenderse a doce.  Antes de eso, el 25 de marzo, el Gobernador de Florida (Ron de Santis) firmó la nueva House Bill 3 (“HB3”), que se une a un debate muy candente al prohibir a los menos de 14 años abrir una cuenta en Instagram, Snapchat u otros medios sociales, exigiendo además consentimiento parental para los menores de 16. Esta ley exige además que se eliminen las cuentas existentes de menores.  El 7 de abril se presentó un proyecto histórico de ley federal sobre privacidad en Estados Unidos. La American Privacy Rights Act establece derechos claros y nacionales de protección de datos para los estadounidenses, eliminando el actual mosaico de leyes estatales y estableciendo un derecho de acción privada para los individuos. MarTech y AdTech En el mercado ampliamente cubierto aquí de Data Clean Rooms (DCR), LiveRamp compró Habu y Snowflake había comprado Samooha anteriormente. Recientemente hemos entrevistado a Matthias Eigenmann, DPO de Decentriq, solución apoyada en Computación Confidencial. También hemos hablado con Damien Desfontaines, de Tumult Labs, sobre “privacidad diferencial” aplicada a DCRs en el caso de uso de análisis de datos combinados de dos responsables del tratamiento.  En paralelo sigue avanzando el concepto del Reverse ETL (Extract, Transform, Load), que ahora se rebautiza como Customer Data Platform modular, donde la nueva generación de data warehouses permite que las funcionalidades de activación de datos estén erigidas sobre éstas, en vez de exigir un repositorio completo e independiente (o redundante) como ha venido ocurriendo con los Customer Data Platforms en los últimos siete años aproximadamente. Aquí hemos entrevistado al CEO de Hightouch, Tejas Manohar, una empresa líder en esta tecnología. Esta misma semana Google ha anunciado que vuelve a retrasar el fin de las cookies de tercera parte por no darle tiempo a introducir las medidas exigidas por la autoridad de mercados y competencia del Reino Unido. El equipo del Privacy Sandbox sigue colaborando con la comunidad para solucionar algunos aspectos bastante pobres de la medición de resultados o la optimización de la publicidad bajo los nuevos estándares. IA, competencia y mercados digitales  A mediados de febrero, OpenAI presentó una “función de "memoria” en ChatGPT, lo que generó preocupaciones sobre la protección de datos de sus usuarios a pesar de los diversos controles individuales proporcionados para la eliminación de dicha memoria. Poco después, la misma empresa lanzó una herramienta "texto-a-video" llamada Sora. Para contrarrestar el aumento del riesgo de infracción de derechos de autor, desinformación y "deep fakes", OpenAI anunció que había incorporado el estándar de la Coalición para la Procedencia y Autenticidad del Contenido (C2PA), que muchos expertos consideraron insuficiente. Meta ha lanzado su nuevo modelo genérico de IA generativa, Llama 3, capaz de competir con la última generación de alternativas ofrecidas por OpenAI, Google, Anthropic o Mistral. Como gran novedad, la empresa ha integrado su propio agente, “Meta AI” en todas sus plataformas - comenzando con múltiples países angloparlantes. Los analistas comienzan a especular con que la reciente caída en bolsa de la empresa por el aumento exponencial de su inversión en IA (incluido su propio hardware) podría obtener un premio a largo plazo si consigue reemplazar a la propia Google en la búsqueda de respuestas directas desde aplicaciones de uso tan cotidiano como WhatsApp.  PETs y Zero-Party Data Signal ha introducido nombres de usuario en el canal de mensajería, permitiendo con ello ocultar números de teléfono en la popular alternativa a WhatsApp y Telegram.  La más reciente alternativa a X/Twitter, Bluesky, ha dejado atrás el requisito de invitación, reportando un crecimiento exponencial en volumen de usuarios y anunciando un sistema modular de gestión de “feeds” y filtros de contenido.  Futuro de los medios Del mismo modo que ya lo había hecho con Axel Springer (Der Spiegel) en Alemania, OpenAI ha firmado acuerdos con El País y Le Monde para facilitar el acceso a noticias en castellano y francés a través de ChatGPT. OpenAI se ha comprometido a facilitar resúmenes, atribución de fuentes y links a las fuentes originales, y estamos asumiendo que también podrán hacer uso de sus archivos históricos a efectos de entrenamiento en castellano y francés.  

Marty Kihn, Senior Vice President of Strategy at Salesforce, explains some of the biggest ways that AI has impacted their business in recent years. Salesforce now centers around a Customer Data Platform, or CDP, and Kihn talks through some of the key decisions around data, vendors, and layers of AI models that can change the game for all marketers. For Further Reading: Attention is All You NeedPaleo Ad Tech (Marty's Podcast)House of Lies (Marty's Book)The Salesforce 360 Blog Listen on your favorite podcast app: https://pod.link/1715735755

“En 2024, l'enjeu en tant que e-commerçant est de maintenir la croissance et continuer d'avancer. Il faut se montrer créatif sur la partie marketing et être exigeant sur la data client”. Pour cette septième et dernière capsule enregistrée lors du One to One Monaco de mars 2024, Laurent Kretz échange avec Pauline Lamare, directrice marketing digital, e-commerce et CRM de Fauchon et Sandra Fernandes, directrice marketing de Splio. Pauline nous explique comment elle s'appuie sur la Customer Data Platform (CDP) pour se montrer plus créative et stratège dans son marketing et booster la croissance de sa marque. Dans cet épisode, on parle de : 00:03:55 - Utiliser une CDP pour animer sa communauté de clients ; 00:05:05 - Prendre en main sa CDP en testant ses différentes fonctionnalités ; 00:06:00 - Obtenir jusqu'à 10% de conversion sur certains trigger marketing. ; 00:07:00 - Suivre les évolutions de sa plateforme (IA prédictive, moteur de fidélité, etc.) ; 00:11:45 - : Importance de networker pour obtenir de nouvelles idées. Pour en savoir plus sur les références abordées dans l'épisode : #243 - Fauchon : Transposer son univers de marque dans une expérience digitale premium Et quelques dernières infos à vous partager : Suivez Le Panier sur Instagram lepanier.podcast ! Inscrivez- vous à la newsletter sur leanier.io pour cartonner en e-comm ! Écoutez les épisodes sur Apple Podcasts, Spotify ou encore Podcast Addict Le Panier est un podcast produit par CosaVostra, du label Orso Media.

Quien lo diría!! Llegamos al episodio #70 en Crónicas de Salesforce 

The department of Health and Human Services has updated their bulletin for healthcare marketers – this episode features Ray Mina, Head of Marketing at Freshpaint and Matt Crowley, VP of Digital Services at MoreVisibility – who explain more about the latest bulletin updates and how using a customer data platform can help healthcare marketers protect their data and stay HIPAA compliant.  More resources on this topic: ·       Read more about the latest HHS updates in this blog from Freshpaint ·       Download our recent webinar featuring Ray & Matt here  To talk with our team anytime on healthcare digital marketing, send an email to info@morevisibility.com 

In this episode of #Hashtags, Gartner analyst Lizzy Foo Kune talks shop on Gartner's first-ever Magic Quadrant for Customer Data Platforms, providing an overview of trends in the customer data platform (CDP) market. The discussion includes how CMOs can manage through an era of change, as customer data becomes not just a marketing asset, but also an enterprise asset.Lizzy Foo Kune is a Gartner VP Analyst, specializing in marketing data and analytics. She co-leads the Gartner Futures Lab. Her research focuses on customer data management, including customer data platforms. In addition, she covers marketing dashboard technology and reporting processes, and marketing analytics organization and operations.

As brand marketers seek to comprehensively understand and use the customer data they've collected, one of the first considerations centers on integrating a customer data platform (CDP) into their martech stack or better leveraging the one already in place. While a CDP houses disparate data gathered by various technologies used in an organization, unless a clear process of persona-building, establishing customer journeys, and purpose-led engagement is prioritized, brands can fall into a pattern of trying to engage customers solely through transactional loyalty efforts — which might leave them left behind in a competitive marketplace. TCS Digital Software & Solutions offers software solutions that activate artificial intelligence (AI) across various industries, domains of customer engagement/experience, sustainability, and smart enterprises. TCS Customer Intelligence & Insights™ (CI&I) for retail is an integrated software solution that combines intelligent loyalty, real-time customer data platforms (CDPs), and AI-driven customer analytics. Mark Johnson, CEO of Loyalty360, spoke with Suman Mahalanabis, Head of Product Management, TCS Digital Software & Solutions, and Padmashwini Raghunathan, Product Manager, TCS Customer Intelligence & Insights™ for retail and Loyalty Management, Digital Software & Solutions. The three discussed how a CDP supports a brand's customer loyalty efforts, customer data privacy and responsible AI, and key personalization initiatives. Read the full article on Loyalty360 here:

Dave enlists the help of Colleen Scollans to explore Customer Data Platforms (CDP). Listen in and find out why CDPs are gaining traction in the 501c community and whether or not one might be in your future. 

In an increasingly data-driven world, modern brands have been forced to adapt to keep pace with the changes in the market, including one of the most significant areas of focus - which is customer data management. There are several reasons for this, from customers' expectations of more personalizaed experiences to the impending deprecation of third-party cookies and the increasing emphasis on consumer data privacy. Today we're going to talk about what it really means to understand your customers better using your data, and what do do as you build out your first-party data strategy. To help me discuss this topic, I'd like to welcome Heidi Bullock, CMO at Tealium, and author of the foreword for The Agile Brand Guide to Customer Data Platforms, 2024 Edition, available soon! Resources Tealium website: https://www.tealium.com Sign up for The Agile Brand newsletter here: https://www.gregkihlstrom.com Get the latest news and updates on LinkedIn here: https://www.linkedin.com/company/the-agile-brand/ Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Whether you're a die-hard Klaviyo fan, a Sendlane advocate, or still undecided, Jordan's  insights will provide you with valuable information to help make the best choice for your business.In this episode, Jordan West takes on the ultimate battle royale – Klaviyo vs. Sendlane. He shares his own experiences and insights, offering a transparent and valuable comparison of the two platforms. As a special treat, he also provides a glimpse into the world of software, discussing the importance of choosing the right tools for your ecommerce business. Listen and learn in this episode!Key takeaways from this episode:The impact of customer support on the overall experience and efficiency of using a platform, and the significance of swift and responsive customer service.The role of pricing models and how they can impact the overall cost and scalability of using an email marketing platform.The value of ongoing development and the ability of a platform to adapt and innovate, as well as the importance of integrations and ease of use for email marketing and automation.The importance of taking a holistic approach when evaluating software, considering factors such as reporting, analytics, and functionality, as well as the significance of the company's vision and approach.The impact of proactive guidance and support from the platform provider, especially during times of industry changes or transition. This emphasizes the role of personalized and hands-on support in decision-making.Recommended link:Sendlane: https://www.sendlane.com?fpr=8qg3mKlaviyo: https://www.klaviyo.com/MailChimp: https://mailchimp.com/Amped.io: https://www.amped.io/Growth Plan: www.upgrowthcommerce.com/growMillion Dollar Offers: www.upgrowthcommerce.com/growThis episode's sponsor is OneClickUpsell- increases your Shopify revenue 10–20% by offering your customers highly-targeted upsells and cross-sells on every purchase. OneClickUpsell is the original upsell app for Shopify, and it's highly-profitable upsell funnels have already made half-a-billion dollars (that's BILLION with a “B”!) in additional revenue for their users! Don't miss out on another dollar in free upsells. Learn more here: OneClickUpsell Get 5 Offers for 2 Products (10 in total) along with 10 highly engaging tried and true creatives, 30 captivating headlines, descriptions, and ad texts sent to you for only $99. Go to https://www.upgrowthcommerce.com/offer and order now - this offer is only available for a limited time. We love our podcast community and listeners that we have decided to offer a free e-commerce Growth Plan for your brand! To learn more, click here: upgrowthcommerce.com/grow

Summary Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP). Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Data projects are notoriously complex. With multiple stakeholders to manage across varying backgrounds and toolchains even simple reports can become unwieldy to maintain. Miro is your single pane of glass where everyone can discover, track, and collaborate on your organization's data. I especially like the ability to combine your technical diagrams with data documentation and dependency mapping, allowing your data engineers and data consumers to communicate seamlessly about your projects. Find simplicity in your most complex projects with Miro. Your first three Miro boards are free when you sign up today at dataengineeringpodcast.com/miro (https://www.dataengineeringpodcast.com/miro). That's three free boards at dataengineeringpodcast.com/miro (https://www.dataengineeringpodcast.com/miro). Your host is Tobias Macey and today I'm interviewing Tasso Argyros about the role of a customer data platform in the context of the modern data stack Interview Introduction How did you get involved in the area of data management? Can you describe what the role of the CDP is in the context of a businesses data ecosystem? What are the core technical challenges associated with building and maintaining a CDP? What are the organizational/business factors that contribute to the complexity of these systems? The early days of CDPs came with the promise of "Customer 360". Can you unpack that concept and how it has changed over the past ~5 years? Recent years have seen the adoption of reverse ETL, cloud data warehouses, and sophisticated product analytics suites. How has that changed the architectural approach to CDPs? How have the architectural shifts changed the ways that organizations interact with their customer data? How have the responsibilities shifted across different roles? What are the governance policy and enforcement challenges that are added with the expansion of access and responsibility? What are the most interesting, innovative, or unexpected ways that you have seen CDPs built/used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on CDPs? When is a CDP the wrong choice? What do you have planned for the future of ActionIQ? Contact Info LinkedIn (https://www.linkedin.com/in/tasso/) @Tasso (https://twitter.com/tasso) on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Action IQ (https://www.actioniq.com) Aster Data (https://en.wikipedia.org/wiki/Aster_Data_Systems) Teradata (https://www.teradata.com/) Filemaker (https://en.wikipedia.org/wiki/FileMaker) Hadoop (https://hadoop.apache.org/) NoSQL (https://en.wikipedia.org/wiki/NoSQL) Hive (https://hive.apache.org/) Informix (https://en.wikipedia.org/wiki/Informix) Parquet (https://parquet.apache.org/) Snowflake (https://www.snowflake.com/en/) Podcast Episode (https://www.dataengineeringpodcast.com/snowflakedb-cloud-data-warehouse-episode-110/) Spark (https://spark.apache.org/) Redshift (https://aws.amazon.com/redshift/) Unity Catalog (https://www.databricks.com/product/unity-catalog) Customer Data Platform (https://en.wikipedia.org/wiki/Customer_data_platform) CDP Market Guide (https://info.actioniq.com/hubfs/CDP%20Market%20Guide/CDP_Market_Guide_2024.pdf?utm_campaign=FY24Q4_2024%20CDP%20Market%20Guide&utm_source=AIQ&utm_medium=podcast) Kaizen (https://en.wikipedia.org/wiki/Kaizen) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Stephen Streich is the Group Vice President of Product Management for Oracle Marketing. He brings over two decades of expertise in martech, adtech, and customer experience software. Known for his role in the successful IPO of Eloqua and its integration into Oracle Marketing Cloud, Stephen talks about the evolution of Oracle, highlights the advancements in oracle's Unity Customer Data Platform (CDP), and provides practical examples of Eloqua's impact on simplifying customers' experiences.

In this episode of the Thoughtful Entrepreneur, your host Josh Elledge speaks to the Head of Product Marketing of RudderStack, Eric Dodds.RudderStack is a customer data platform designed to help businesses collect, integrate, and utilize customer data. It's a tool that breaks down data silos, providing a comprehensive view of the customer journey. This platform offers tools to analyze and utilize data effectively, such as identifying potential churn customers and prioritizing leads for the sales team.Eric highlighted the consequences of not working with data effectively. These include difficulty in making decisions and challenges in team collaboration. Understanding past performance and making informed decisions becomes a daunting task without proper data analysis. Conflicting data across different teams can also hinder collaboration and alignment. Rudder Stack aims to solve these challenges by providing a data infrastructure that enables businesses to leverage their data for growth.Eric explained that RudderStack's pricing model is based on a volume basis. Customers are charged based on the amount of data they send through the system. The simplicity of their pricing structure is a testament to their belief in keeping things simple for their customers. Eric also shared some background information about RudderStack. The core of their product is open source, providing high transparency for customers. This transparency is a key part of RudderStack's commitment to helping businesses of all sizes, from startups to enterprise-level organizations, effectively utilize their data.Key Points from the Episode:Introduction of Eric Dodds, Head of Product Marketing at RudderStackDiscussion on RudderStack, a customer data platformFeatures and benefits of RudderStackTarget audience of Rudder Stack (data leaders in companies of all sizes)Data privacy and securityConsequences of not working with data effectivelyRudderStack's mission to provide a data infrastructure for growthPricing model of Rudder Stack (volume-based)Best practices for early-stage companies using Rudder StackAbout Eric Dodds:Eric Dodds, a resident of South Carolina, is a multifaceted individual with a passion for technology, mountain activities, and, notably, strong coffee. His commitment to faith and role as a loving husband are central aspects of his life. As the founder of Yield Group, a marketing technology company, Eric leads efforts to empower businesses by facilitating the collection, processing, analysis, and actionable use of essential data for growth.Eric boasts a rich professional history, having co-founded and overseen marketing at The Iron Yard, which evolved into the world's largest in-person code school. His extensive marketing experience spans agency and client roles, contributing to renowned brands such as Best Buy, Double Day, and Colonial Williamsburg.Beyond the professional realm, Eric dedicates time to family, enjoying activities like reading, mountain biking, and crafting in his workshop. About RudderStack:RudderStack is the foremost warehouse Customer Data Platform, uniquely tailored for data teams. Distinguished by its integration with existing warehouses or data lakes, RudderStack operates without storing data internally, addressing security apprehensions, cutting costs, and optimizing the potential of warehouse investments. Trusted by prominent companies such as Stripe, Crate and...

In this bonus episode, Eric and Kostas preview their upcoming conversation with Tasso Argyros of ActionIQ.

Ayush Jain is a Senior Director of product management at Microsoft, leading generative AI and Customer Data Platform teams within the Dynamics 365 portfolio of products. Ayush has built an incredible career in the Enterprise SaaS space, leading the team that's launched Real-time Customer Journey Orchestration from 0 to 1 and growing the business 3x the business every year for the last 2 years. In this conversation, Ayush talks about the power of generative AI and how to effectively incorporate it into products to drive a valuable user experience. We cover:  Leveraging gen AI to build products for your users What execution looks like when gen AI is involved  Risks, ethics and considerations of working with gen AI The Product Management Mastermind is a community for product people to get advice, share advice and build relationships. Join ⁠The Product Management Mastermind on LinkedIn. References  Ayush on LinkedIn Switch by Chip & Dan Heath Hooked by Nir Eyal Product Led Conference Note: Opinions shared are just those of the hosts and guests and not of the companies they work for. Song Credits: The Right Direction by Shane Ivers - https://www.silvermansound.com

Guiding you through the world of growth, performance marketing, and partner marketing.We sit down with growth and marketing leaders to share tests and lessons learned in business and in life.Host: Tye DeGrangeGuest: Graham HunterHype man & Announcer: John Potito

Tired of starting from scratch every time you switch marketing agencies? Dive into a new era of marketing with Denise Galiatsatos, President/COO of PCG Digital, as she unveils the transformative power of owning and leveraging your dealership's data. Embrace the never-start-from-zero-again strategy to give your dealership the competitive edge it needs in today's digital landscape. In this episode, Denise emphasizes the significance of dealerships creating their own first-party data. By building a database of customers who are already familiar with the brand and have interacted with them, dealerships can target specific audiences and foster loyalty. This data allows dealerships to tailor their messaging effectively and prevent customers from being sent to other dealerships.To track and analyze data comprehensively, Denise highlights the importance of utilizing a Customer Data Platform (CDP). A CDP can integrate data from various sources, providing a more holistic view and enabling better insights into consumer behavior. With a CDP, dealerships can make informed decisions and measure ROI accurately, beyond traditional tracking methods.Denise emphasizes the need for dealerships to define their campaign objectives and measure ROI based on those objectives. By identifying the metrics that align with their goals, such as brand estimated recall lift, phone calls, conversations, messages, and lead form submissions, dealerships can accurately gauge the success of their campaigns and make data-driven decisions.Key Takeaways:Importance of owning all of your data and never starting from zero again Importance of ownership of Facebook Page, Business Manager, and Facebook Pixel and everyone collaborating around the one Pixel CDPs (Customer Data Platforms) - Ability to measure true ROI, clean data, segmentation, serving intentional messages, do you own the data, think the process through prior to jumping on boardConnect:Denise Galiatsatos: https://qrcc.me/ryh3wxi389o8 BZ Consultants: https://qrco.de/bcqqFo    Apple

Julian Llorente Perdigones is the Director of Data Privacy at Tealium, a customer data platform company with offices in the US, Germany, Singapore, UK, Japan, the Netherlands, France, and Austria. Julian is an experienced data scientist and expert in data privacy. In his role, he analyzes technical challenges while assessing privacy concerns. Before Tealium, he was a Data Scientist at zeroG, a Germany-based company committed to making data work for air travel. He also worked at Lufthansa in the digital analytics and online sales department. Julian holds a MS in Big Data & Business Analytics from SRH University in Heidelberg, Germany. He also holds a BS in International Business Information Systems from the University of Applied Sciences in Frankfurt. In this episode… A customer data plan can be a valuable tool for businesses. It allows businesses to collect and analyze customer data from multiple sources. However, it's important to be aware of the data privacy implications. Data scientist and CDP professional Julian Llorente Perdigones explains businesses must ensure they have consent from customers to collect and use their data, and they must also take steps to protect customer data from unauthorized access or disclosure. At Tealium, their mission is to establish customer trust in data. According to Julian, companies can establish customer trust using CDP by reducing risk using siloed data, propagating privacy preferences, and enabling operational efficiency. Businesses can be transparent by giving customers control over their data and personalizing the customer experience. In this episode of the She Said Privacy/He Said Security Podcast, Jodi and Justin Daniels interview Julian Llorente Perdigones, Director of Data Privacy at Tealium, about data privacy and CDP. Julian explains customer data plans, how companies can use CDPs while adhering to privacy laws, and the common mistakes companies make when working with CDPs.

Centralize your customer information in one platform and power all your applications with the same customer data. Golfspot offers the Customer Data Platform for the golf market. On this episode of The Wednesday Match Play Podcast presented by Mindful "U", Menno Liebregts gives us an overview of Golfspot, details their target customer, talks about their growth strategies, the cost to use this solution, and why they went with a .io web domain. He also explains their customer service and raps about work/life balance. This was a technological conversation, and an honor having Menno on the show. Let's tee off.

Highlights from this week's conversation include:Soumyadeb's background and journey in data (5:49)Defining customer data (8:10)The complexity of customer data collection (10:04)What is a CDP and how it is properly deployed (17:12)Bridging the gap of data collection and useful analytics for marketing (21:46)How Rudderstack translates data and the new profile feature (25:30)The foundations of data in building a 360 degree customer profile (30:30)Solutions for the intersection between engineering and business users (34:35)How AI and other future technologies will impact data (41:14)Final thoughts and takeaways (46:30)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Zack Wenthe is the Customer Data Platform Evangelists for Treasure Data. He often speaks about the marketing and customer data industry at industry events, webinars, and virtual conferences. Having spent a majority of his career in marketing and marketing consulting working with large enterprise brands like Walmart, Nationwide Insurance, FedEx, and many more, Zack now gets to tell the CDP story to help marketing teams eliminate the friction caused by silos, inefficiencies, and lack of understanding of their true customers.  Zack lives with his amazing wife and two kids on the bluffs of the Mississippi River and has one more who is away at college. Outside of work, Zack enjoys cooking, spending time with his kids, writing comedy, and maybe someday a screenplay. Questions  • We like to ask our guests in their own words, if they could share about their journey, how it is that they got to where they are today? • So, you work at a company called Treasure Data. And for those of our listeners that are not familiar with your organisation, can you tell us a little bit about what you do. • Based on your experience, and your knowledge in this particular area, what are maybe three of the top pain points that utilising this methodology, helps with customers overall experience with a brand. • How do you think ChatGPT can help organisations with the overall service experience? • As it relates to creating emotional connection and personalization, can you share with us, how you think that will help to deepen brand loyalty and of course, improve overall customer experience? • Could you share with us what's the one online resource, tool, website or app that you absolutely can't live without in your business? • Could you also share with our listeners maybe one or two books that you've read? It could be a book you read recently, or even one you read a very long time ago, but it still has had a great impact on you. • Could you share also with our listeners what's one thing that's going on in your life right now that you are really excited about? Either something you're working on to develop yourself or your people. • Where can listeners find you online? • Do you have a quote or saying that during times of adversity or challenge, you'll tend to revert to this quote if for any reason at all you get derailed or side-tracked and you kind of just need that quote to get you back on target, back on track. Do you have one of those? Highlights   Zack's Journey Me: So, even though we read a little bit about you, a little bit of professional, a little bit of personal, we still like to ask our guests in their own words, if they could share about their journey, how it is that they got to where they are today? Could you do that for me, please?    Zack shared that he would say it's a long winding road to how he got to kind of his career. He went to college thinking he was going into theatre and yet, somehow, he ended up in marketing. But when you think about it, marketing is a lot of theatre. So, he started college, he realized he wasn't going to make any money if he went into the theatre route and kind of wandered around for a bit and kind of landed into the marketing space, ran teams for a while before he made the jump into the consulting world.  And most of his consulting career was tied to martec, he was enough of a nerd that he was a marketing technologist before that was like a title or a thing. And he could kind of translate, he could tell the marketing story to the tech people and then he could translate the technical requirements and limitations back to the marketing team and they can kind of work through the details. So, he spent a lot of his career as a strategist doing implementations and family, it got to be a lot to be with a client every week.   So, he kind of made the jump over to the product world. And he sits now as Yanique said, as the CDP Evangelist, so he gets to kind of talk about their product, and he talks to marketers that he's worked with for his entire career and kind of understand their pain points. And so, he gets to kind of come and talk to businesses, owners. And so, that's how he ended up here.    About Zack's Company – Treasure Data Me: So, you work at a company called Treasure Data. And for those of our listeners that are not familiar with your organisation, can you tell us a little bit about what you do?    Zack shared that Treasure Data is an enterprise customer data platform. And what that means is they work with typically complex organizations who are trying to bring all of their customer profile, transactional behavioural data together into a single location.  So, you may have email systems and eCommerce systems and physical point of sale systems and all these different things that have fragments of the individual kind of scattered within these different systems.  And so, the goal of a CDP or Customer Data Platform is to bring all of those profiles together. So, we're looking at a single kind of 360 degree view of that customer and therefore, they can create better customer experiences, they can create better connection, emotional connection with their customers, so that they're not having these, well, he calls it into the call centre, and they don't even know that he made a purchase kind of experiences, which unfortunately, happened way too often. So that's the pain they solve.   Me: So, let me give an example. Let's say for example, I go to my doctor and the week before I had gone to a different doctor and I did a blood test, and in the week before that I did a mammogram. And so, is it that your platform allows this doctor to see all of this medical data merged into one space and they can look holistically at the person?   Zack stated that, so with obviously with privacy and consent kind of in place, so assuming that that medical system was sharing the information, and you had consented to that, absolutely, it would bring all of that profile together, and make it available to the electronic medical record in that case or to a scheduling when you call them later now, and you have to schedule an appointment, they'd be able to see that, “Oh, by the way, you were in here a week ago, and you prefer this location.” So now they're not going to send you to one 20 miles away from you.  So, all of those little details, and it works across retail, travel and hospitality, big B2B, medical, absolutely. All of those scenarios.   Utilizing this Methodolgy in Helping with Customers Overall Experience with a Brand   Me: So, share with our listeners for me, Zack, based on your experience, and your knowledge in this particular area, what are some of I would say maybe three of the top pain points that utilizing this methodology, helps with customers' overall experience with a brand.   Zack shared that he would say the top three or the number one that they think about is this idea of the fractured individual. So, at any given time, when he's a consumer, and he's dealing with a company, he's not dealing with a department, he doesn't care whether you're the online team, or you're the marketing team, whether you're the email team, whatever variation of that departmental hierarchy you are, he just deals with the brand as the consumer.  And, unfortunately, corporations don't typically operate that way. We have structure and teams and silos. And so, what ends up happening is you end up with this fractured view of an individual, and it's frustrating from the consumers perspective, because now one day they're talking to, they're physically in a store, and they're shopping, and they're talking to somebody that's under one team, and one data system. But again, later on, they're online, and it's a whole other system.  And they recently just had a new customer joined them, and this is the exact scenario that they were trying to solve, they said, “Look, we're a high-end jewellery retailer, and during the pandemic, 80% of our people were shopping online, they were buying and spending large amounts of money. And it's not acceptable for them to walk into our store and talk to a salesperson, and the salesperson has no idea who they are, no idea about their past purchases, that's not the experience we want to create.”  And so, by democratizing or making all of this data available, they eliminate that friction, or that kind of pain point of dealing with the customer. So, that's the first one.  The second two are kind of offshoots of that is, once you've solved that major problem, then now you can start to have conversations amongst multiple teams, because you're all working on the same set of data. So, no longer are you arguing over when the last customer visited based on which system is in charge, it's all combined. And so, you're able to have a conversation, you don't go to a board meeting and hope your data is correct, because you're working on a unified set of truth. So, your analytics, your insights, all of the reporting is better.  And then the last one is now they also break down the access to data. So, a lot of times with silos, the challenge becomes, if you're in the marketing team, you're going to have to go to somebody in IT, they're going to have to pull report for you, they're going to have to go in, and it's going to take a couple weeks, they make it easier and faster for all these teams to access this information so that they can move faster, and they can move more nimbly. So, the three really is access to the first the total customer to begin with, then you can trust the data and then you can move nimbly and interact with the customer as a result of that.   How ChatGPT Can Help Organizations with the Overall Service Experience? Me: So, data is king, right? And as we've emerge out to the pandemic, and now we have all of these wonderful AI tools. Now we have ChatGPT, I would love to know your views since you're in the data world in terms of how do you think ChatGPT can help organizations? I mean, there's a lot of chatter about ChatGPT replacing people but I personally don't believe that any technology is going to replace a human being. But I would love to hear your views since this is an area that you operate in on a day to day basis across different industries, how do you see this helping or not helping the overall service experience?   Zack shared that this is a great question. He thinks ChatGPT allows us to access more information faster. But really, that's never been the problem. Really, it's never been an issue, there's no shortage of information or data, and it's never going to get less.   The problem now still lies in organizing it, accessing it, and trusting it. And so, he thinks as these models, whether it's open AIs, ChatGPT or any variation of that, or some of the other competitors, as they mature, and you start to see, he thinks the biggest question, the plugins, where you can start to bring in information, so not only can you ask your assistant, your AI assistant, “Tate, help me plan a trip to Mexico. I want to stay in an all-inclusive resort with this weather.”   And they're like, “Oh, yeah, here's some options.” Well, that's historical information. But now when you pull in a plug in, for example, and it can real time access travel, it can access weather patterns, it can access all this other information. Now, that becomes useful and now it becomes a matter of indexing and organizing and making that data accessible.  And so, he thinks that's where he gets excited, especially personally, just being able to speed up a lot of the mundane things we do on a day to day basis as a consumer, but also as a business, they, customer data platforms are going to be a source for a lot of those AI systems.  If he knows everything you've purchased from them, and he knows everything based on that what other customers have purchased, all this other information, he can feed it to an AI system, and you go shopping, and you can say, “Hey, pick out my summer wardrobe.”  And the AI system can make recommendations based on what you like, what you don't like, and it's super personalized to you because it's not just looking at what you bought maybe at the store, but because the AI is tied into other stores, it looks at what you buy in other stores, what shoes you have, how you tend to use those clothing items. Do you travel? Do you speak? All these ideas. But the idea is, by being able to really personalize at a level we've never been able to get to because of just resource scales. He thinks that's where AI gets really interesting.  Will it replace people? No, he doesn't think so. He thinks it's going become a skill much like googling is, you have to know how to Google to get through your day. He thinks interacting with AI is going to be a very similar scenario.   Creating Emotional Connection and Personalization – How Can That Help Deepen Brand Loyalty and Improve Overall Customer Experience? Me: That's interesting, like learn to Google, learn to ChatGPT, that kind of leads to my next question, as it relates to creating emotional connection. And I think it's important to recognise that all customers are human beings, and everybody has their personal preference and personalization has been one of those buzzwords for quite a few years now. But as you mentioned, before, we haven't really been able to get to that level of granular specification with customer to customer, I don't just feel like I'm a transaction, or just another person, but I feel like this was for me, only me, nobody else in the world, but me. So, can you share with us, how you think that will help to deepen brand loyalty and of course, improve overall customer experience?   Zack shared that when it comes to improving the customer experience and brand loyalty, at this point, being loyal to a brand is often not enough. We all think about all the loyalty programmes we're all members of, the average household has 20 plus loyalty cards, if not more, it doesn't make you loyal, it just means you've kind of learned to operate within that mode.  He thinks really what it comes down to is the level, which is the next level, which is brand attachment. Are you attached to that brand? And are you happy when you interact with them? And would you be sad if they weren't around? And that's a level that a lot of brands still don't operate at.  There're obviously degrees of that within different industries and different verticals. But if you think about it in that lighter, in that lens, people came out of the pandemic who were very loyal to brands and then couldn't shop in them anymore, so they found an alternative. They learned to shop online, they're like, “Oh my gosh, this was super easy.”   People who are scared of eCommerce aren't scared of eCommerce anymore, they have groceries delivered to their door. We all went through a massive shift in our buying behaviour as a result of the pandemic. But he thinks it's not just a result of that, we just accelerated what was already happening.  And so, we're in this world now where the consumer is in charge, they get to pick what they want, and brands have to keep up, they're not in the driver's seat, it's no longer, “Here's my experience. And if you want to do business with me, you have to bend to my will.” Consumers are now saying, “Hey, this is how I expect to be treated. This is the brand I want to deal with.” And we're being a lot more forceful as consumers in making those decisions, in breaking up with the ones that we don't like, and so forth.  So, that means now as we get to the personalization side, personalization has to evolve. We can't just geo target advertising to people or target based on, “Well, you bought this in the past, you're going to buy this in the future.” There's a whole other level below that, which when we get into the idea of creating those emotional connections, creating those tying into as individuals, as people, whether that's through personalization, whether that's through AI, whether it's through new ways of creating ads, we can create content at scale, that we've never been able to.  So now, he can serve you, if he knows you're an introvert, and he's a travel company, he can serve you out ads or content that shows people sitting on the beach reading, that's more appealing to you, that seems like that's vacation, versus if you're an extrovert, being able to show a group of people hanging out on the beach, socializing. And for the introvert, that's exhausting, for the extrovert that's exciting. And so, and that's a really simple example.  But if you think about that, before you'd have to create all that content, you'd have to write all that, well, AI can do all that now. You can generate those images, and you can process it and it's only the beginning, it's only going to get better, faster, easier, cheaper to do.   Me: It's amazing the amount of things that AI has allowed and when I look across the different platforms that I use, and I get these emails on a weekly basis about the platforms integrating AI into their existing solution, making it easier for the consumer. And as you mentioned before, things that would have taken 10 hours, a whole month to do ten/five years ago can literally be done in like 5 minutes or less.   Zack stated absolutely and he thinks we're just scratching the surface. He thinks right now, it's still, in a lot of ways a gimmick. Because people are just trying to figure out, what is that killer use case for his business for AI? And so, let's try something. And so, much like we had 20 years ago when people started creating websites, everybody kind of jumped online, and then they figured out what worked. And then same thing, 10 plus years ago with social media, it was like everybody needed a social media platform. And then you're like, “No, I just need a page.” Okay, but this is what this page means and then it became Instagram, AI is going to be the same thing, we're going to have this kind of wave as we figure it out.   Me: Agreed. One of the things I loved about what you said earlier, when we just started talking about the emotional connection was brand attachment. And if you think about a brand that you can't live without, like, if they were no longer in existence, how would you operate? Would you be able to find a substitute? And when you said that, what came to mind was my Apple ecosystem. So, I'm just like, I don't see any other product out there that moves so smoothly and easily. And honestly, if there was no Apple, I don't know if there would be a substitute. I would find a substitute, of course, but I wouldn't be satisfied because if they're not offering what Apple is offering, then it would mean that they're not meeting my expectations, because Apple has set the bar so high.   Zack agreed absolutely. And we all have those. And he's 100% on board with the Apple ecosystem as well, that would be his challenge. And there's probably five or six other brands in your life that if you had to replace them, you would, but you'd be frustrated by it, you'd be sad by it, you'd be upset. And he thinks that's the level that we as companies need to kind of strive for now. Now, it's not just are they loyal? Do they do they buy from us repeatedly, but do they want to buy from us repeatedly?   Me: Very true. Because want and need are two different things, right?   App, Website or Tool that Zack Absolutely Can't Live Without in His Business When asked about an online resource that he can't live without in his business, Zack stated that that's a good question. He does a tonne of research and writing and notes. And so, he'll give you two. So, he has both Evernote and Notion as his kind of a second brain for collecting and managing information. And so, he loves notebooks, he loves writing and moleskin notebooks, but he loses them, or he forgets what he wrote down in one and then it sits somewhere in a desk drawer. So, getting it into a digital system was a huge change in how he personally operates, how he manages his workload. So, Notion is probably his number one recommendation right now. And it's integrated with AI, so you can be on the cutting edge, because you can use AI write within it to summarise notes and do to do lists and all sorts of cool things.   Books that Have Had the Biggest Impact on Zack When asked about books that have had a great impact, Zack stated that he's got a couple here and he has a couple different ones. So, he's always been a huge fan of Malcolm Gladwell, so Tipping Point, anything by Malcolm Gladwell is a good one. But when we're thinking and we're talking about personalization and we're talking about psychology, a book that actually came from a recommendation by Malcolm Gladwell, he made it a comment in one of his books. But he went from the source, it's a textbook. But it's called The Person and the Situation: Perspective of Social Psychology by Lee Ross and it's like perspectives on kind of social psychology. And since he's a marketer, social psychology is a huge interest area for him.  And the thesis of this book really comes down to the idea is, how much does the situation that we're in influence the way we behave versus the person and the personality? So, in other words, all things being equal, does the person behave the same regardless of situation? Or does the situation really drive?  And a lot of times when we think of personalization, and when we think persuasion, and we think writing copy, and all these things, we focus on the person, we spend too little time focusing on the situation that they're in. And so, this was definitely a kind of a deep dive into social psychology on how much the environment around you can impact how you behave, how you interact, and how you respond to stimuli.   Me: That's a very good point, because I think the environment definitely affects you. I mean, let's say you're buying something in relation to a plumbing issue that you're having at your home, but there is an emergency, clearly, the urgency of purchase is going to be much greater just based on the environment on what's happening on the situation, versus you just randomly walking into the store and making that purchase.   What Zack is Really Excited About Now! When asked about something that going on right now that he's excited about, Zack shared that he's writing a book, he's been working on a book for a while. So, a lot of his job and his career has always been centred around storytelling. And about three years ago, he sat down, and he said, he can talk to you about that but what the heck does he mean by storytelling in business, and so he started just kind of pulling all these notes together. And then he started diving into the research and pulling a lot of things out. And so, that's been what he's been working on furiously for the last six months or so is getting that manuscript done and whatnot.   It's been amazing because he thinks the art of writing, it is one of those things that every marketer, every business owner should dedicate time to writing. So, even if you're not going to write a book, sitting down and taking the thoughts that's in your head and distilling them so that somebody else can learn them is an incredible way to not only teach yourself, but to refine your thinking and realize where you might have a gap or where you might need to explain better.  And so, even if you're not going to write a book, he would say any anybody should pick up a pen, grab a keyboard, and start writing about your passion area or your interest area, because you will unlock a lot of things about yourself when you're staring at a blank screen and you're trying to get words out of your head.   Me: Very true. Awesome. So, I'm excited about your book. I hope that when it's released, we can have you back on our podcast to discuss all the exciting buzz coming out of that book.   Where Can We Find Zack Online Website – www.treasuredata.com LinkedIn – Zack Wenthe Twitter – Zack Wenthe    Quote or Saying that During Times of Adversity Zack Uses  When asked about a quote or saying that he tends to revert to, Zack shared that he has a lot of concepts and stories and notes. And he thinks one that drives him as a marketer, and one that drives him personally, he uses it often. There's a jazz performer, his name is Art Blakey, and he had a quote, and it was simply, “If you're not appearing, you're disappearing.” And so, he kind of apply that in a lot of different ways. From marketing perspective, if you're not showing up in front of your audience, they're going to forget you, you're going to fade away.  He (Art Blakey) obviously was talking about it from a performance perspective, as a performer. If you're not up in front of the audience, you're losing that connection. But Zack thinks it applies to our personal lives as well. If you're not showing up and you're not bringing your authentic self, then you lose those connections, out of sight, out of mind is such an easy default for so many people. So, to him, that's one that he always kind of go back to, which is, just show up, be present and be out there.    Please connect with us on Twitter @navigatingcx and also join our Private Facebook Community – Navigating the Customer Experience and listen to our FB Lives weekly with a new guest    Links ·  The Person and the Situation: Perspectives of Social Psychology by Lee Ross The ABC's of a Fantastic Customer Experience   Grab the Freebie on Our Website – TOP 10 Online Business Resources for Small Business Owners  Do you want to pivot your online customer experience and build loyalty - get a copy of “The ABC's of a Fantastic Customer Experience.” The ABC's of a Fantastic Customer Experience provides 26 easy to follow steps and techniques that helps your business to achieve success and build brand loyalty. This Guide to Limitless, Happy and Loyal Customers will help you to strengthen your service delivery, enhance your knowledge and appreciation of the customer experience and provide tips and practical strategies that you can start implementing immediately! This book will develop your customer service skills and sharpen your attention to detail when serving others. Master your customer experience and develop those knock your socks off techniques that will lead to lifetime customers. Your customers will only want to work with your business and it will be your brand differentiator. It will lead to recruiters to seek you out by providing practical examples on how to deliver a winning customer service experience! The ABC's of a Fantastic Customer Experience Webinar – New Date Register Here    

Ryan Fleisch is Adobe's Head of Product Marketing and Real-Time CDP and Audience Manager. Being a lifelong chess player, it makes sense that he is passionate about looking beyond the immediate use cases of AI and trying to understand and anticipate ways the technology will impact workflows and the nature of marketing in the future. He learned from his dad that "the day you stop learning is the day your career becomes nothing more than a job." This wisdom has kept him intellectually curious and lends itself perfectly to the cutting-edge work being done at Adobe.In this episode, Alan and Ryan discuss customer data platforms, what makes Adobe's CDP "real-time," new features to help businesses operate effectively in the cookieless world, and how generative AI will transform how companies use data. At Adobe, "real-time" isn't a buzzword; it's a key component they have been optimizing since day one. They have built a globally distributed network of servers to be able to handle data and use it in milliseconds. This network allows Adobe's Real-Time CDP users to collect data, manage it, process it, and immediately use it to understand customer intent and activate strategies. In addition to the immediacy of the tool, Adobe has launched a new open framework that allows them to work with data providers to compile consented, non-cookie-based data into their platform in a private, safe way. Once businesses effectively collect and manage their first-party data, many are unsure exactly what to do with it. This is where Adobe's new use-case playbooks come in handy. These tools are built into the CDP and give businesses guided workflows based on their specific business objectives. Ryan tells us one of the many uses for generative AI in marketing is helping marketers understand and recognize missed opportunities hidden in the mass of data. He highlights Adobe Sensei GenAI as one such tool.In this episode, you'll learn:The three critical components that make Adobe's CDP "real-time"The main things to consider when selecting a CDPUse cases for generative AI with customer dataKey Highlights: [01:25] What is Adobe Real-Time CDP?[02:55] What new things are available?[04:35] A 3D view of the customer[05:20] Real-world applications and activations[06:20] Use Case playbooks[07:10] It's all generative.[08:00] What to think about when you are selecting your CDP[09:40] Key takeaways from the Adobe Summit[11:30] Advice from Dad[12:20] Looking beyond the immediate use cases for AI[12:55] CheckmateResources Mentioned: Ryan Fleisch Adobe Hosted on Acast. See acast.com/privacy for more information.

Summary Every business has customers, and a critical element of success is understanding who they are and how they are using the companies products or services. The challenge is that most companies have a multitude of systems that contain fragments of the customer's interactions and stitching that together is complex and time consuming. Segment created the Unify product to reduce the burden of building a comprehensive view of customers and synchronizing it to all of the systems that need it. In this episode Kevin Niparko and Hanhan Wang share the details of how it is implemented and how you can use it to build and maintain rich customer profiles. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Sign up free at dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) Your host is Tobias Macey and today I'm interviewing Kevin Niparko and Hanhan Wang about Segment's new Unify product for building and syncing comprehensive customer profiles across your data systems Interview Introduction How did you get involved in the area of data management? Can you describe what Segment Unify is and the story behind it? What are the net-new capabilities that it brings to the Segment product suite? What are some of the categories of attributes that need to be managed in a prototypical customer profile? What are the different use cases that are enabled/simplified by the availability of a comprehensive customer profile? What is the potential impact of more detailed customer profiles on LTV? How do you manage permissions/auditability of updating or amending profile data? Can you describe how the Unify product is implemented? What are the technical challenges that you had to address while developing/launching this product? What is the workflow for a team who is adopting the Unify product? What are the other Segment products that need to be in use to take advantage of Unify? What are some of the most complex edge cases to address in identity resolution? How does reverse ETL factor into the enrichment process for profile data? What are some of the issues that you have to account for in synchronizing profiles across platforms/products? How do you mititgate the impact of "regression to the mean" for systems that don't support all of the attributes that you want to maintain in a profile record? What are some of the data modeling considerations that you have had to account for to support e.g. historical changes (e.g. slowly changing dimensions)? What are the most interesting, innovative, or unexpected ways that you have seen Segment Unify used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Segment Unify? When is Segment Unify the wrong choice? What do you have planned for the future of Segment Unify? Contact Info Kevin LinkedIn (https://www.linkedin.com/in/kevin-niparko-5ab86b54/) Blog (https://n2parko.com/) Hanhan LinkedIn (https://www.linkedin.com/in/hansquared/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Segment Unify (https://segment.com/product/unify/) Segment (https://segment.com/) Podcast Episode (https://www.dataengineeringpodcast.com/segment-customer-analytics-episode-72/) Customer Data Platform (CDP) (https://blog.hubspot.com/service/customer-data-platform-guide) Golden Profile (https://www.uniserv.com/en/business-cases/customer-data-management/golden-record-golden-profile/) Reverse ETL (https://medium.com/memory-leak/reverse-etl-a-primer-4e6694dcc7fb) MarTech Landscape (https://chiefmartec.com/2023/05/2023-marketing-technology-landscape-supergraphic-11038-solutions-searchable-on-martechmap-com/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Summary The customer data platform is a category of services that was developed early in the evolution of the current era of cloud services for data processing. When it was difficult to wire together the event collection, data modeling, reporting, and activation it made sense to buy monolithic products that handled every stage of the customer data lifecycle. Now that the data warehouse has taken center stage a new approach of composable customer data platforms is emerging. In this episode Darren Haken is joined by Tejas Manohar to discuss how Autotrader UK is addressing their customer data needs by building on top of their existing data stack. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Sign up free at dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) Your host is Tobias Macey and today I'm interviewing Darren Haken and Tejas Manohar about building a composable CDP and how you can start adopting it incrementally Interview Introduction How did you get involved in the area of data management? Can you describe what you mean by a "composable CDP"? What are some of the key ways that it differs from the ways that we think of a CDP today? What are the problems that you were focused on addressing at Autotrader that are solved by a CDP? One of the promises of the first generation CDP was an opinionated way to model your data so that non-technical teams could own this responsibility. What do you see as the risks/tradeoffs of moving CDP functionality into the same data stack as the rest of the organization? What about companies that don't have the capacity to run a full data infrastructure? Beyond the core technology of the data warehouse, what are the other evolutions/innovations that allow for a CDP experience to be built on top of the core data stack? added burden on core data teams to generate event-driven data models When iterating toward a CDP on top of the core investment of the infrastructure to feed and manage a data warehouse, what are the typical first steps? What are some of the components in the ecosystem that help to speed up the time to adoption? (e.g. pre-built dbt packages for common transformations, etc.) What are the most interesting, innovative, or unexpected ways that you have seen CDPs implemented? What are the most interesting, unexpected, or challenging lessons that you have learned while working on CDP related functionality? When is a CDP (composable or monolithic) the wrong choice? What do you have planned for the future of the CDP stack? Contact Info Darren LinkedIn (https://www.linkedin.com/in/darrenhaken/?originalSubdomain=uk) @DarrenHaken (https://twitter.com/darrenhaken) on Twitter Tejas LinkedIn (https://www.linkedin.com/in/tejasmanohar) @tejasmanohar (https://twitter.com/tejasmanohar) on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Autotrader (https://www.autotrader.co.uk/) Hightouch (https://hightouch.com/) Customer Studio (https://hightouch.com/platform/customer-studio) CDP == Customer Data Platform (https://blog.hubspot.com/service/customer-data-platform-guide) Segment (https://segment.com/) Podcast Episode (https://www.dataengineeringpodcast.com/segment-customer-analytics-episode-72/) mParticle (https://www.mparticle.com/) Salesforce (https://www.salesforce.com/) Amplitude (https://amplitude.com/) Snowplow (https://snowplow.io/) Podcast Episode (https://www.dataengineeringpodcast.com/snowplow-with-alexander-dean-episode-48/) Reverse ETL (https://medium.com/memory-leak/reverse-etl-a-primer-4e6694dcc7fb) dbt (https://www.getdbt.com/) Podcast Episode (https://www.dataengineeringpodcast.com/dbt-data-analytics-episode-81/) Snowflake (https://www.snowflake.com/en/) Podcast Episode (https://www.dataengineeringpodcast.com/snowflakedb-cloud-data-warehouse-episode-110/) BigQuery (https://cloud.google.com/bigquery) Databricks (https://www.databricks.com/) ELT (https://en.wikipedia.org/wiki/Extract,_load,_transform) Fivetran (https://www.fivetran.com/) Podcast Episode (https://www.dataengineeringpodcast.com/fivetran-data-replication-episode-93/) DataHub (https://datahubproject.io/) Podcast Episode (https://www.dataengineeringpodcast.com/acryl-data-datahub-metadata-graph-episode-230/) Amundsen (https://www.amundsen.io/) Podcast Episode (https://www.dataengineeringpodcast.com/amundsen-data-discovery-episode-92/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Albert Strasheim, CTO & SVP of Engineering @ Rippling, joins us to share the riveting story of how Rippling's leadership navigated the recent collapse of Silicon Valley Bank. He reveals what was at stake for his company & the hundreds of millions of dollars at stake for customers & their employees, how Rippling's core values influenced their critical decision-making, tips for communicating with clarity both internally & externally, and tactics that allowed the team to respond with precision during crisis. Additionally, Albert shares the pre-crisis strategies, habits & systems he is most thankful for that helped Rippling leadership respond successfully throughout this critical period.ABOUT ALBERT STRASHEIMAlbert Strasheim is Rippling's CTO and SVP, Engineering. Albert leads the global engineering team as it continues to expand the capabilities of Rippling's products and the platform itself. Prior to Rippling, Albert served as VP of Engineering at Segment, where he spent more than five years building and leading the infrastructure and product teams responsible for creating Segment's market-leading Customer Data Platform product. He was born and raised in South Africa and earned a Bachelor of Science and a Bachelor of Engineering from Stellenbosch University. Albert lives in the Bay Area and is an avid skier and surfer."I think we had about $130 million on the way to employees of our clients. This was more than 50,000 people. They are not like rich Silicon Valley tech workers. It's everyday Americans making less than $55,000 a year. Some of them are living paycheck to paycheck and so missing a paycheck can have devastating consequences. We had to move really quickly to make sure these folks got paid. Basically, no matter what happened with SVB, those were the stakes. It's like people that critically needed money just wouldn't get it otherwise.”- Albert Strasheim   Check out QA Wolf!Looking for a way to increase end-to-end test coverage, speed up your release cycles and reduce bugs from shipping to production? QA Wolf will build, run and maintain your test suite - so that you don't have to.QA Wolf gets you to 80% automated end-to-end test coverage in 4 months - and keeps you there – So your team can stay focused on shipping!Learn more & schedule a 30 min demo at qawolf.com/elcLooking for ways to support the show?Send a link to the show to your marketing team! https://sfelc.com/podcastsIf your company is looking to gain exposure to thousands of engineering leaders and key decision-makers, we have sponsorship opportunities available.To explore sponsor opportunities, email us at hello@sfelc.comSHOW NOTES:How Albert's team @ Rippling responded to the Silicon Valley Bank collapse (2:56)Rippling's SVB story & how payroll was impacted by its collapse (6:24)Identifying who was needed to coordinate Rippling's response / decision making (9:49)Albert discusses the millions of dollars of payroll at stake on Thursday (11:47)How the SVB issue progressed into Thursday / Friday (13:07)Communicating with customers during crisis & how Rippling ultimately made the payments (15:47)Tactics that allow eng teams to respond with precision during crisis (19:57)How leadership determined the right step in the right order to achieve the intended outcome (21:56)Communicating context on how to think about a problem (23:21)What the weekend looked like & the half a billion dollars of payroll at stake (24:39)Internal communication systems that lead to Rippling's success (26:34)Tips for communicating with absolute clarity (28:40)Albert's SVB story: picking back up on Sunday going into the week (31:24)Implementing an external communication strategy (33:07)Pre-crisis habits & leadership systems that played a significant role in successfully navigating this issue (35:12)Reflecting on the impact of this effort externally & internally one week out (38:17)Rapid fire questions (40:27)LINKS AND RESOURCESScaling People: Tactics for Management and Company Building - Scaling People is a practical and empathetic guide to company building and scaling the most important resource a company has: its people. Drawing on nearly two decades of experience as a Google and Stripe executive, Claire Hughes Johnson offers actionable insights and tactical guidance on everything from crafting foundational documents to hiring and team development to feedback and performance mechanisms.An Elegant Puzzle: Systems of Engineering Management - Will Larson's explores the specific challenges of engineering management—from sizing teams to handling technical debt to developing succession planning—and provides a guide to solving complex managerial problems.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

Summary With the rise of the web and digital business came the need to understand how customers are interacting with the products and services that are being sold. Product analytics has grown into its own category and brought with it several services with generational differences in how they approach the problem. NetSpring is a warehouse-native product analytics service that allows you to gain powerful insights into your customers and their needs by combining your event streams with the rest of your business data. In this episode Priyendra Deshwal explains how NetSpring is designed to empower your product and data teams to build and explore insights around your products in a streamlined and maintainable workflow. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Join in with the event for the global data community, Data Council Austin. From March 28-30th 2023, they'll play host to hundreds of attendees, 100 top speakers, and dozens of startups that are advancing data science, engineering and AI. Data Council attendees are amazing founders, data scientists, lead engineers, CTOs, heads of data, investors and community organizers who are all working together to build the future of data. As a listener to the Data Engineering Podcast you can get a special discount of 20% off your ticket by using the promo code dataengpod20. Don't miss out on their only event this year! Visit: dataengineeringpodcast.com/data-council (https://www.dataengineeringpodcast.com/data-council) today! RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Sign up free at dataengineeringpodcast.com/rudder (https://www.dataengineeringpodcast.com/rudder) Your host is Tobias Macey and today I'm interviewing Priyendra Deshwal about how NetSpring is using the data warehouse to deliver a more flexible and detailed view of your product analytics Interview Introduction How did you get involved in the area of data management? Can you describe what NetSpring is and the story behind it? What are the activities that constitute "product analytics" and what are the roles/teams involved in those activities? When teams first come to you, what are the common challenges that they are facing and what are the solutions that they have attempted to employ? Can you describe some of the challenges involved in bringing product analytics into enterprise or highly regulated environments/industries? How does a warehouse-native approach simplify that effort? There are many different players (both commercial and open source) in the product analytics space. Can you share your view on the role that NetSpring plays in that ecosystem? How is the NetSpring platform implemented to be able to best take advantage of modern warehouse technologies and the associated data stacks? What are the pre-requisites for an organization's infrastructure/data maturity for being able to benefit from NetSpring? How have the goals and implementation of the NetSpring platform evolved from when you first started working on it? Can you describe the steps involved in integrating NetSpring with an organization's existing warehouse? What are the signals that NetSpring uses to understand the customer journeys of different organizations? How do you manage the variance of the data models in the warehouse while providing a consistent experience for your users? Given that you are a product organization, how are you using NetSpring to power NetSpring? What are the most interesting, innovative, or unexpected ways that you have seen NetSpring used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on NetSpring? When is NetSpring the wrong choice? What do you have planned for the future of NetSpring? Contact Info LinkedIn (https://www.linkedin.com/in/priyendra-deshwal/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links NetSpring (https://www.netspring.io/) ThoughtSpot (https://www.thoughtspot.com/) Product Analytics (https://theproductmanager.com/topics/product-analytics-guide/) Amplitude (https://amplitude.com/) Mixpanel (https://mixpanel.com/) Customer Data Platform (https://blog.hubspot.com/service/customer-data-platform-guide) GDPR (https://en.wikipedia.org/wiki/General_Data_Protection_Regulation) CCPA (https://en.wikipedia.org/wiki/California_Consumer_Privacy_Act) Segment (https://segment.com/) Podcast Episode (https://www.dataengineeringpodcast.com/segment-customer-analytics-episode-72/) Rudderstack (https://www.rudderstack.com/) Podcast Episode (https://www.dataengineeringpodcast.com/rudderstack-open-source-customer-data-platform-episode-263/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

In this latest episode of the Omni Talk Retail Spotlight Series, Treasure Data Industry Principals Irene Sibaja and Danica Konetski join Chris and Anne to discuss how retailers and CPGs can best leverage a CDP (Customer Data Platform) in this new era of omnichannel retailing. Chris and Anne go deep with Irene and Danica on: – All the pain points a CDP helps to resolve – How a good CDP can be a springboard for better 1st-party data - How the lines between CPG and retail are blurring in the ongoing quest for 1st-party data and each one's desire to get closer to their end consumer - And, finally and in keeping with our themes for 2023, how a CDP can show both retailers and CPGs the money right now *Sponsored Content*

Customer Data Platforms, or CDPs, provide companies with the ability to tie their customer information from a multitude of sources and types of behaviors into a single profile that can power personalization, enhanced data governance, and enable better tracking and reporting across the customer journey. In a special episode brought to you by RDA and Sitecore, we're going to talk about how companies can use CDPs to successfully implement a first-party data strategy and better serve their customers and the business. To help me discuss this topic, I'd like to welcome Jaina Baumgartner, Director of Digital Strategy at RDA. RESOURCES The Agile Brand podcast website: https://www.gregkihlstrom.com/theagilebrandpodcast Sign up for The Agile Brand newsletter here: https://www.gregkihlstrom.com Get the latest news and updates on LinkedIn here: https://www.linkedin.com/company/the-agile-brand/ For consulting on marketing technology, customer experience, and more visit GK5A: https://www.gk5a.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company If you are struggling with projects, sign up for Basecamp. Their pricing is simple and they give you ALL their features in a single plan. No upsells. No upgrades. Go to basecamp.com/agile and try Basecamp for free. No credit card required and cancel anytime. Thank you, Basecamp for sponsoring this episode!