Podcasts about Master data management

In de nieuwste aflevering van Techzine Talks wordt de recente overname van Informatica door Salesforce voor 8 miljard dollar onder de loep genomen. Deze strategische overname laat zien hoe belangrijk data is voor AI en daarmee voor de strategie van Salesforce. Wat maakt deze overname nu zo belangrijk? Coen en Sander analyseren de overname, wat dit betekent voor de markt en voor organisaties.Wat kun je verwachten in deze aflevering?- Diepgaande analyse van de technologie die Informatica toevoegt aan het Salesforce-ecosysteem;- Inzicht in de data-strategie achter deze overname en hoe deze past in Salesforce's AI-ambities;- Vergelijking met eerdere grote overnames zoals Slack, MuleSoft en Tableau;- Toekomstperspectief voor klanten van beide platformsWaarom is deze overname zo belangrijk?Informatica, een meer dan 30 jaar oud bedrijf gespecialiseerd in data-integratie, master data management en data governance, brengt cruciale technologie naar Salesforce die essentieel is voor het succes van AI-oplossingen. Waar MuleSoft sterk is in connectiviteit, blinkt Informatica uit in dataverwerking en -kwaliteit. Dat is precies wat nodig is voor Salesforce's Data Cloud, Einstein en Agentforce.De aflevering belicht hoe deze overname past in een breder patroon waarbij alle grote technologiebedrijven (Microsoft, Oracle, Google, AWS) investeren in 'data fabric'-technologieën als fundament voor hun AI-strategie.Hoofdstukken:02:15 - Wat is Informatica en waarom is het waardevol? 04:30 - Vergelijking met eerdere Salesforce-overnames (Slack, MuleSoft, Tableau) 07:45 - Data-integratie: MuleSoft vs. Informatica - de verschillen 10:20 - De cloud-transitie van Informatica's legacy-producten 13:40 - AI-strategie: Waarom data cruciaal is voor Salesforce's toekomst 16:55 - De concurrentiestrijd: Waarom IBM en anderen ook interesse hadden 22:10 - Integratiemogelijkheden binnen het Salesforce-ecosysteem 25:45 - Data Fabric: De grotere visie achter deze overname 28:00 - Conclusie: Wat betekent dit voor de enterprise-technologiemarkt?#SalesforceInformatica #TechOvername #DataIntegratie #SalesforceDataCloud #EnterpriseAI #DataManagement #CloudComputing #MasterDataManagement #TechStrategie #DataFabric #SalesforceEcosysteem #EnterpriseData #AIToekomst #TechAnalyse #DataGovernance

Thu, 20 Feb 2025 23:00:00 +0000 https://mydata.podigee.io/258-new-episode 3212b0c9b55e105779b6e7bc3ee8cb27 Wie schafft man den Übergang von der wissenschaftlichen Arbeit in die Praxis? Was sind die größten Herausforderungen beim Wechsel in die Wirtschaft? Und wie entwickelt man sich erfolgreich zum Team Lead im Data-Bereich? Darum geht es in der neuen Folge von MY DATA IS BETTER THAN YOURS, in der Host Jonas Rashedi mit Daniel von 1&1 Versatel spricht. Dieser verantwortet als Teamleiter Data Excellence die Bereiche Data Governance, Data Quality, Cloud-Programme und Master Data Management. Zunächst sprechen die beiden Data-Experten über Daniels Weg von der Promotion in die Praxis. Nach 12 Jahren in der Wissenschaft wagte er den Sprung in die Wirtschaft - keine leichte Entscheidung, die aber neue Perspektiven eröffnete. Daniel ist dabei in einem spannenden Aufgabenfeld tätig: Von Dateneinkäufen über Data Finance bis hin zum Aufbau einer Azure Cloud Platform. Ein "Gemischtwarenladen", wie er es selbst beschreibt, der ihm ermöglicht, seine analytischen Fähigkeiten optimal einzusetzen. Der Weg in die Praxis war jedoch nicht ohne Hürden. Daniel spricht offen über die Herausforderungen bei Bewerbungen und wie wichtig die richtige Positionierung der eigenen Expertise ist. Sein Tipp: Nicht als "wissenschaftlicher Mitarbeiter" bewerben, sondern die praktischen Fähigkeiten in den Vordergrund stellen. Auch der Schritt in die Führungsrolle will gut vorbereitet sein. Daniel teilt seine Erfahrungen, wie man sich als Leader etabliert und welche Soft Skills dafür besonders wichtig sind. Dabei spielt auch die Vereinsarbeit eine wichtige Rolle - eine wertvolle Quelle für Führungserfahrung. Im Gespräch wird deutlich: Der Übergang von der Wissenschaft in die Praxis erfordert ein Umdenken. Während in der Forschung oft monatelang an Publikationen gefeilt wird, sind in der Wirtschaft schnelle, pragmatische Lösungen gefragt. Daniel erklärt, wie man diese Balance findet. Zum Schluss geht es um den "Dunning-Kruger-Effekt" und warum diverse Teams so wichtig sind. Ein spannendes Gespräch über Karrierewege, Leadership und die Kunst, wissenschaftliche Expertise erfolgreich in die Praxis zu übertragen. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Link zum LinkedIn-Profil von Daniel: https://www.linkedin.com/in/daniel-weimar/ Link zur 1&1 Versatel Website: https://www.1und1.net/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi Zeitstempel: 00:00:00 Intro und Begrüßung 00:02:14 Vorstellung Daniel 00:04:51 Tätigkeit und Geschäftsfeld 1&1 Versatel 00:07:46 Von der Wissenschaft in die Praxis 00:12:20 Herausforderungen beim Berufseinstieg 00:22:33 KI-Hype 00:29:30 Einstellungskriterien Daniel 00:34:29 Tipps für den Berufseinstieg 00:37:00 Führungskompetenzen und Teambuilding 00:46:37 Daniel's Data Game full

Nick Orser, General Manager at Verato, highlights the importance of trusted identity data in the healthcare industry and how master data management can help healthcare organizations deliver personalized patient experiences. The proliferation of data sources and health record systems makes maintaining a single, accurate view of each patient challenging. The MDM technology can help healthcare organizations access patient data across multiple systems to improve care outcomes and provide effective analytics and population management tools.   Nick explains, "To summarize what I'm talking about here, despite EHR consolidation with many organizations choosing to go all Epic or all Cerner, despite health system consolidation where organizations are buying up hospitals and physician practices like crazy, there's now this challenge in the industry that is 10 times harder today than it was just a decade ago." "The challenge is that dozens of these new applications in which a patient's data might be stored that an organization needs to tie together and unify. That data spans numerous clinical encounters, but now, there are marketing applications, digital applications, call centers, joint ventures, telehealth, and home health portals. And it's not just the number of applications that's really hard. It's the fact that my data as a patient might be represented differently across each application. In fact, 30% of stored patient identifying data is out of date, incorrect, or incomplete, making it hard to identify the same patient's data across all these different touch points because patients move and change their address. They get married and change their names, fill out a web form and provide only their email address, and schedule an appointment for a call center that mistypes their birthdate."  #Verato #HealthData #MasterDataManagement #WhoisWho #PtExperience #AIinHealthcare #PatientInformation verato.com Download the transcript here

Nick Orser, General Manager at Verato, highlights the importance of trusted identity data in the healthcare industry and how master data management can help healthcare organizations deliver personalized patient experiences. The proliferation of data sources and health record systems makes maintaining a single, accurate view of each patient challenging. The MDM technology can help healthcare organizations access patient data across multiple systems to improve care outcomes and provide effective analytics and population management tools.   Nick explains, "To summarize what I'm talking about here, despite EHR consolidation with many organizations choosing to go all Epic or all Cerner, despite health system consolidation where organizations are buying up hospitals and physician practices like crazy, there's now this challenge in the industry that is 10 times harder today than it was just a decade ago." "The challenge is that dozens of these new applications in which a patient's data might be stored that an organization needs to tie together and unify. That data spans numerous clinical encounters, but now, there are marketing applications, digital applications, call centers, joint ventures, telehealth, and home health portals. And it's not just the number of applications that's really hard. It's the fact that my data as a patient might be represented differently across each application. In fact, 30% of stored patient identifying data is out of date, incorrect, or incomplete, making it hard to identify the same patient's data across all these different touch points because patients move and change their address. They get married and change their names, fill out a web form and provide only their email address, and schedule an appointment for a call center that mistypes their birthdate."  #Verato #HealthData #MasterDataManagement #WhoisWho #PtExperience #AIinHealthcare #PatientInformation verato.com Listen to the podcast here

The two experts share their experiences from international projects and explain how companies can prepare their employees, IT and processes for these extensive changes.

Sustainable sourcing is essential for businesses committed to environmental and social responsibility, but achieving it requires accurate and reliable data. Master Data Management (MDM) ensures that all sourcing data—such as supplier information, certifications, and compliance records—is consistent and up-to-date. This enables organisations to make informed decisions that align with their sustainability goals, reduce waste, and promote ethical practices throughout their supply chain.MDM is the foundation of a successful sustainability strategy. By providing a single source of truth for all critical data, MDM helps businesses monitor and track their sustainability efforts effectively. With accurate data, companies can identify opportunities to improve resource efficiency, reduce carbon footprints, and ensure compliance with environmental standards, ultimately leading to a more sustainable and resilient business model.In this episode, George Firican, Founder of LightsOnData, speaks to Matthew Cawsey, Director of Product Marketing and Solution Strategy, and Paarijat Bose, Customer Success Manager at Stibo Systems, to discuss sustainable sourcing and why accurate data matters. Key Takeaways:Sustainable sourcing involves understanding the provenance and environmental impact of products, ensuring compliance with regulations, and meeting sustainability goals.Data completeness and accuracy are crucial in meeting regulatory requirements and avoiding issues like greenwashing.Managing sustainability data requires a solid foundation of MDM to ensure data accuracy, stewardship, and semantic consistency.MDM solutions help companies collect, manage, and share sustainability data, enabling them to meet compliance requirements and achieve their sustainability goals.Chapters:00:00 - Introduction and Overview01:07 - The Challenge of Collecting Data for Compliance and Reporting02:31 - Data Accuracy and Completeness in the Supply Chain05:23 - Regulations and the Demand for Transparent and Complete Data08:41 - The Role of Master Data Management in Sustainability15:51 - How Data Management Technology Solutions Help Achieve Sustainability Goals21:02 - The Need to Start Early and Engage with Data Management Solutions22:01 - Conclusion and Call to Action

Donna Burbank, managing director with Global Data Strategy Ltd, joins host Andrew Miller to discuss master data management - including why MDM is so important, the challenges organizations face with implementation, and the role MDM plays in data governance. Please visit Master Data Management: the Intersection of Architecture, Governance, and Process for more information on the course Donna will be teaching at TDWI Orlando. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P 

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  

Wie unterscheidet sich Industrie vs eCommerce? Gibt es da überhaupt einen Unterschied? Wie geht man das ganze Thema Mehrwertkommunikation von Data Cleansing und Data Governance generell an? Darum geht es in der neuen Folge von MY DATA IS BETTER THAN YOURS, in der Host Jonas Rashedi mit Oliver Hoffmann spricht. Der ist Senior Inhouse Consultant für Master Data Management und Master Data Governance und Prozesse bei der Dräxlmaier Gruppe, einem Automobilzulieferer im Premium-Segment. Das Unternehmen stellt elektrische Komponenten, Battery-Systems und Interieur-Systems her. Für Jonas ist die Automobilindustrie ein Sinnbild für Prozessoptimierung. Er erzählt dafür von seiner neuen Rolle bei FALKE und davon, wie Prozessoptimierung im eCommerce funktioniert. Dort ist in seinen Augen weniger durch Optimierung „herauszuholen“ als es in der Industrie der Fall ist. Das bringt die beiden Data-Nerds dazu, darüber zu sprechen, wo genau die Unterschiede zwischen eCommerce und Industrie liegen, von der Supply Chain über die Wertschöpfung bis hin zu schlimmen und weniger schlimmen Fehlern. Oliver betont dabei, wie sehr in der Industrie alles prozessgesteuert ist, vom Wareneingang bis zum Warenausgang. Die Bänder dürfen nicht stillstehen, das hat viele Konsequenzen, die man im ersten Moment gar nicht absehen kann! Für ihn ist Data Cleansing die Lösung. Aufräumen, herausfinden, was wo gebraucht wird und welche Datensätze benötigt werden. Dabei will da keiner so wirklich drüber reden, weil es nunmal ein sehr trockenes Themen ist. Für Oliver ist es die Grundlage für Prozessoptimierung, Digitalisierung und Wertschöpfung. Gleichzeitig ist natürlich die zeitliche Komponente ein spannender Punkt, denn während sich im letzten Jahrhundert alles etwas langsamer entwickelt hat, kann sich unsere Welt mittlerweile innerhalb von 5 Jahren komplett drehen! Die beiden diskutieren dann noch die Frage, wie man die Awareness in einer digitalen Transformation erhöhen kann. Für Jonas ist es wichtig, den Menschen zu zeigen, dass sie ein Teil der Transformation sind und einen wichtigen Teil dazu beitragen, z.B. durch Hackathons. Zum Schluss möchte Oliver allen noch mitgeben, wie wichtig Governance für die verschiedenen Bereiche ist. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Oliver: https://www.linkedin.com/in/oliver-hoffmann-b7b196206/ Zur Webseite von Dräxlmaier: https://www.draexlmaier.com/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi 00:00:00 Intro und Begrüßung 00:01:08 Vorstellung Oliver Hoffmann 00:02:07 Prozessoptimierung 00:05:18 Datenerhebung in der Automobilindustrie 00:07:17 eCommerce vs Industrie 00:15:13 Schnelligkeit der Entwicklung 00:17:00 Agilität 00:19:23 Data Cleansing 00:28:03 Awareness für digitale Transformation 00:33:43 Nachhaltigkeit und Governance 00:36:26 Oliver's Data-Game

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. Nicola Askham found her way into data governance by accident, and stayed because of the benefit that she was able to provide by serving as a bridge between the technology and business. In this episode she shares the practical steps to implementing a data governance practice in your organization, and the pitfalls to avoid. 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 is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. 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. This episode is supported by Code Comments, an original podcast from Red Hat. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. There are 3 seasons of great episodes and new ones landing everywhere you listen to podcasts. Search for "Code Commentst" in your podcast player or go to dataengineeringpodcast.com/codecomments (https://www.dataengineeringpodcast.com/codecomments) today to subscribe. My thanks to the team at Code Comments for their support. Your host is Tobias Macey and today I'm interviewing Nicola Askham about the practical steps of building out a data governance practice in your organization Interview Introduction How did you get involved in the area of data management? Can you start by giving an overview of the scope and boundaries of data governance in an organization? At what point does a lack of an explicit governance policy become a liability? What are some of the misconceptions that you encounter about data governance? What impact has the evolution of data technologies had on the implementation of governance practices? (e.g. number/scale of systems, types of data, AI) Data governance can often become an exercise in boiling the ocean. What are the concrete first steps that will increase the success rate of a governance practice? Once a data governance project is underway, what are some of the common roadblocks that might derail progress? What are the net benefits to the data team and the organization when a data governance practice is established, active, and healthy? What are the most interesting, innovative, or unexpected ways that you have seen data governance applied? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data governance/training/coaching? What are some of the pitfalls in data governance? What are some of the future trends in data governance that you are excited by? Are there any trends that concern you? Contact Info Website (https://www.nicolaaskham.com/) LinkedIn (https://www.linkedin.com/in/nicolaaskham/) 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. Links Website (https://www.nicolaaskham.com/) Master Data Management (https://en.wikipedia.org/wiki/Master_data_management) Cartesian Join (https://www.geeksforgeeks.org/cartesian-join/) DAMA == Data Management Community (https://www.dama.org/) DMBOK == Data Management Body of Knowledge (https://www.dama.org/cpages/body-of-knowledge) DAMA DMBOK Wheel (https://www.dama.org/cpages/dmbok-2-wheel-images) CDMP (Certified Data Management Professional) Exam (https://www.dama.org/cpages/cdmp-information) Data Mesh (https://www.datamesh-architecture.com/) Data Governance First Steps Checklist (https://www.nicolaaskham.com/free-data-governance-checklist) The Never Normal (https://www.linkedin.com/newsletters/the-never-normal-6862024032934477824/) 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/)

Discover how master data management (MDM) provides language models with high-quality enterprise data to improve their response accuracy. Published at: https://www.eckerson.com/articles/improving-genai-accuracy-with-master-data-management

IRM UK Conference, March 11-14: https://irmuk.co.uk/dgmdm-2024-2-2/ use code DM10 for a 10% off discount!Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Ole's LinkedIn: https://www.linkedin.com/in/ole-olesen-bagneux-2b73449a/Piethein's LinkedIn: https://www.linkedin.com/in/pietheinstrengholt/Samia's LinkedIn: https://www.linkedin.com/in/samia-rahman-b7b65216/Liz's LinkedIn: https://www.linkedin.com/in/lizhendersondata/Ole's book The Enterprise Data Catalog: https://www.oreilly.com/library/view/the-enterprise-data/9781492098706/Piethein's book Data Management at Scale (2nd Edition): https://www.oreilly.com/library/view/data-management-at/9781098138851/Liz's blog: https://lizhendersondata.wordpress.com/In this episode, guest host Ole Olesen-Bagneux, Chief Evangelist at Zeenea (guest of episode #82) facilitated a discussion with Piethein Strengholt, CDO at Microsoft Netherlands (guest of episode #20), Liz Henderson AKA The Data Queen, a board advisor, non-executive director, and mentor in digital and data at Capgemini (guest of episode #106), and Samia Rahman, Director of Enterprise Data Strategy, Architecture, and Governance at SeaGen/Pfizer (guest of episode #67). As per usual, all guests were only reflecting their own views.The topic for this panel was modernizing master data management (MDM) and applying that to...

IRM UK Conference, March 11-14: https://irmuk.co.uk/dgmdm-2024-2-2/ use code DM10 for a 10% off discount!Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Sue's LinkedIn: https://www.linkedin.com/in/suegeuens/In this episode, Scott interviewed Sue Geuens, Director of Data Governance and Product Data at Elsevier. To be clear, she was only representing her own views on the episode.We use the phrase MDM to mean master data management throughout the episode.Some key takeaways/thoughts from Sue's point of view:At the end of the day, if you want to do data governance well, it's about the people. Go talk to them, find out their specific needs and desires and work to tailor your language - and presumably your application of policies when possible - to their situations. People want good data, help them get there!Relatedly, get good at telling stories about data work. Get people to lean in and get them involved. Personalize your communication!While policies and standards are crucial, they are about creating better data for the organization. Try to leverage them as a carrot instead of a stick.?Controversial?: Don't talk about someone owning data. That's scary for most. Find ways to get them excited about owning the data without making it scary by using different phrasing.The key to doing data governance well is getting people to care. We need them to care about the data because others have to use it. And that means the people are the most important focus.Data governance is too focused on 'governance' and that means oversight. The word governance has a bad connotation for a reason - it makes many potential allies uncomfortable. So governance folks have to really work to make it less scary.Don't focus so much on the data aspects of data work when talking with stakeholders. It's about achieving outcomes through data, not data work itself. Focus on what gets your business partners excited and that's (unfortunately) usually not...

Die Vision der Datenschmiede.ai ist es, Master Data Management Projekte durch den Einsatz von Künstlicher Intelligenz vollständig zu automatisieren und so Master Data Management zum Lieblingsthema im Unternehmen zu machen. Hier im Gespräch zwei der drei Gründer, Dr. Felix Kruse (CEO) und Raphael Holtmann (COO). ► Wir danken unserem Partner, der Public Cloud Group (PCG): https://pcg.io/ ► Das Video zum Podcast: https://youtu.be/xkyOe6A_4kw ► Datenschmiede.ai: https://www.datenschmiede.ai/ ► LinkedIn Felix: https://www.linkedin.com/in/dr-felix-kruse-38437414b/ ► LinkedIn Raphael: https://www.linkedin.com/in/raphael-holtmann-3a156121a/ ► LinkedIn Bernard: https://www.linkedin.com/in/bernardsonnenschein/ ► Wir freuen uns auf dich auf der data:unplugged: https://www.data-unplugged.de/

This final blog in our series on the ROI of master data management recommends ways for data teams to iterate their MDM initiatives based on the successes and failures of their first project. Published: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-iii-project-iteration

Effective leadership in the fast-paced and dynamic world of technology requires a strategic and adaptable approach. One powerful tool that can significantly enhance leadership skills for a tech leader is a well-defined methodology. By employing a structured and systematic approach to decision-making, problem-solving, and team management, tech leaders can navigate complex challenges with confidence and efficiency. A prime example of how methodology can propel a tech professional's career to great heights is Trevor Wood's remarkable journey at CIBC FirstCaribbean International Bank. Starting as an intern, Trevor demonstrated a keen understanding of the importance of methodical thinking in technology projects. Through continuous learning and application of best practices, he ascended through the ranks and now holds the prestigious position of Director - Data, Wealth & Corporate Centre Technology. Trevor's success story underscores the transformative potential of methodology in shaping a tech leader's career trajectory and impact within their organization.Here's more about Trevor WoodSpecialties: Data Science, Analytics, Data Warehousing, Business Intelligence, Reporting, ETL Development, Database Development, IT Governance, IT Architecture, IT Systems Design, Service Oriented Architecture, Master Data Management, Data Governance, Agile Methodologies.http://www.cibcfcib.com/

One of my listeners requested to talk about Master Data Management a while ago. I have been putting it off because it does require a little research. But I finally did decide to cover it. So Master Data Management it is this time... ------------------------------------------------------------- LinkedIn: https://www.linkedin.com/in/nilotpaldas/ Twitter: @EntArchRadio Email: nilotpaldas@hotmail.com Telegram Group: https://t.me/EnterpriseArchitectureRadio Music: Music by tobylane from Pixabay

Learn how to attain an optimal return on investment (ROI) with MDM by choosing the appropriate architectural strategy and evaluating progress during the initial project implementation. Published at: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-ii-your-first-project

Jeff Jonas is Founder and CEO of Senzing, a startup focused on democratizing entity resolution – making this deceptively complicated task easy for programmers to use and deploy.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

With technology moving at lightning speed, proper management of master data is critical to fully take advantage of new tech innovations.  Yet, many retailers struggle with master data management and overall data governance.  Hosted by master data experts and retail veterans, Deanna Emsley, Heidi Csencsits, and Rob Gentry, our June 29 Talk Retail to Me Transformation Happy Hour will dive deep into the most pressing master data challenges Parker Avery's clients and other retailers are facing.   Our happy hour hosts provide a brief overview of master data challenges and the implications of not having a planful approach and governance in place.  Most of the happy hour is spent answering questions and having an open dialog with participants. Show resources: Download | Data governance scope and definitions infographic  Download | Data governance and master data management resources Parker Avery Blog | Project Planning: Four Considerations for Data Readiness Parker Avery Blog | Make No Mistake: Avoiding Data Governance Issues Case Study | Master Data Consolidation Enables Core Merch Transformation Case Study | Item Master Assessment and Implementation  

MDM creates business value in three ways: it streamlines infrastructure, streamlines processes, and reduces risk. Published at: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-1-build-your-business-case

Designed and implemented well, automated workflows can make the modern business just a little less chaotic and complex. This blog explores the opportunity for automated workflows to help cross-functional teams collaborate and standardize organizational master data. Published at: https://www.eckerson.com/articles/master-data-management-and-operational-workflows-two-modern-use-cases

Fleetwood Grobler, President and CEO at Sasol and Mpumi Zikalala, CEO at Kumba Iron Ore outline the challenges that affected their operations and bottom-line.   Gary Allemann, MD of Master Data Management on how the FNB app exposes home loan applicants' dataset.   Nerina Visser, strategist and advisor at ETF SA explains how you can evaluate and select index tracking or rules-based investments as opposed to actively-managed investments.See omnystudio.com/listener for privacy information.

Entity resolution.Is it a single source of truth? Is it multiple sources of truth? Is it multiple data sources that refer to the same real-world thing?How do we make sense of it? How can we harness the value of data through entity resolution? Talk to Jeff Jonas from Senzing on this week's episode of Catalog & Cocktails and you'll understand.Key Takeaways[00:33 - 05:14] Episode intro & cheers[05:20 - 06:53] What is something you thought to be true in life that ended up being false?[06:58 - 08:15] Why don't we realize entity resolution if it is everywhere?[08:18 - 09:55] Tech stacks and tools for entity resolution[10:01 - 11:55] Record matching, link detection, fuzzy matching, and duplication[12:14 - 14:12] Master Data Management as the old school approach versus modern technology and its limits[14:18 - 18:38] Entity resolution is for the elite[18:48 - 21:11] Commoditizing entity resolution to the equivalent of a spell checker[21:14 - 25:41] Principles and Guidelines[25:51 - 28:48] The number of principles should fit on a single screen[28:50 - 33:03] Different levels of abstractions, and thinking about what kinds of things can solve similar problems[33:09 - 35:25] How does metadata tie into entity resolution?[35:32 - 40:45] Ontologies, semantics, and mapping[40:54 - 42:10] Thousands of transactions per second[42:14 - 46:23] You shouldn't have to tinker with any settings to be effective[46:28 - 47:44] ChatGPT[51:54 - 56:17] Takeaways[56:21 - 59:40] Three Final Questions

If there were a tombstone for this episode it would read “here lies Master Data Management,” But would you agree?In this episode, join Tim, Juan, and special guest Malcolm Hawker from Profisee, will discuss the history of master data management, the buzzwords surrounding it, and where it's headed, assuming it's still alive.Key Takeaways:[00:01 - 00:54] Introduction[02:31 - 04:55] Toast to sun on the beach[05:21 - 10:09] What's something in the world that is popular or trending that really needs to fade away and RIP?[10:36 - 13:33] How do we define MDM today?[16:43 - 19:52] How did we get here? Understanding the history of how MDM began[20:50 - 24:04] Governance: Where do we start? Approaches to figuring out how to decentralize[26:52 - 29:51] With the single version of the truth and for each context, how do we preserve the data integrity across independent or interconnected functions?[30:45 - 34:35] How data modeling and MDM apply to new capabilities such as data sharing and DBT[39:43 - 43:13] What does data ownership mean?[46:27 - 56:08] Lightning round[59:20 - 01:01:56] Advice, and important resources

In today's data-driven world, staying aware of the latest trends and strategies in data management and innovation is essential for success. Unfortunately, many chief data officers (CDOs) and business leaders must understand what other organizations and industries are doing with data. However, with this awareness and a basic curiosity, CDOs may be able to innovate and improve their business operations. On this Tech Talks Daily podcast episode, Roman Kucera discusses this issue and the importance of staying informed about other companies' data strategies and practices. He emphasizes that while there are rarely entirely new ideas for using data, there are often opportunities to borrow and adapt ideas from others. I also learn more about the story behind Ataccama. Recently spun off from Adastra, the company also secured $150 million in funding from Bain Capital to fuel its worldwide expansion. As a provider of master data management (MDM) and data quality solutions, Ataccama understands the importance of high-quality data that is appropriately managed. We discuss the need for data quality and proper management, as well as the art of telling effective stories using data (hint: pie charts aren't always the answer). With the right strategies and tools in place, businesses can turn data into a powerful asset for driving growth and innovation.

In this episode, Rob Phillips talks about making an impact through data transformation at a large public company. Key takeaways: Becoming a more data-driven company Using data to predict what's going to happen What does that mean to the company? How far down the maturity path do you look to build your roadmap Benefits of moving quickly to prove your MVP Focus on testing out new capabilities Give the team a problem to solve and allow them to figure out how How do you compete and attract the type of talent you need Innovation garage and teams share About today's guest: see below ⬇️ Rob Phillips was the Director of Technology at CarMax. He was responsible for creating their Master Data Management, Data Science, and Machine Learning technologies, enabling CarMax to continue to be the leader in both in-person and digital car buying experiences. Before CarMax, he was responsible for all applications and data at a healthcare company in Atlanta. Rob is currently the Vice President of Software Engineering at UDig in Richmond, Virginia. When not at work, Rob would prefer to spend his time with his family sailing the Chesapeake Bay. He holds a B.S. in IT Management from the University of Richmond and studied Computer Science at Virginia Tech. LinkedIn: https://www.linkedin.com/in/rophilli/ ___ Thank you so much for checking out this episode of The Tech Trek, and we would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

What you need to know about master data management (MDM) and how it brings data together from across the enterprise and business ecosystem to create a single, accurate and transparent record of the truth.

Malcolm is a thought leader in the field of Master Data Management (MDM) and Data Governance and have consulted to some of the largest businesses in the world on their enterprise information management strategies. He is a frequent public speaker on data and analytics best practices and he cherish's the opportunity to share practical and actionable insights on how companies can achieve their strategic imperatives by improving their approach to data management.Support this podcast at — https://redcircle.com/shelor-select/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

One topic that hasn’t been covered on Dear Analyst is master data management (MDM). I’m surprised it took this long before someone brought it up. I’ve never heard of the term before and it looks like it’s a core strategy for many large corporations for manager their data. Korhonda Randolph studied systems engineering at the […] The post Dear Analyst #111: Master data management at AutoTrader and working with data in a merger with Korhonda Randolph appeared first on .

William McKnight has been recognized as the #1 global influencer in big data, cloud, and data center by Thinkers 360 and the #1 global influencer in master data management by Onalytica in 2022. He is the Founder and President of McKnight Consulting Group, which advises many of the Global 2000 companies, including Pfizer, Verizon, UnitedHealth Group, Dell, Oracle, and Scotiabank, on ways to grow their businesses with big data faster. They've been recognized as one of the Inc. 5000 fastest-growing private companies in the US two times and their clients in 14+ countries have reaped tremendous ROI and turned data into a real corporate asset. With over 30 years of experience, William is a highly sought-after speaker who has spoken on four continents for various organizations, including IBM, Microsoft, Oracle, Bank of America, Orange South Africa, and SAP. Listen in as we discuss personal data, who's watching you, and how they can use the data collected from you. We also discuss new analytic uses of master data management in the enterprise, how AI will significantly impact users and how organizations think about their data resources.

LifeBlood: We talked about data governance best practices, good and proper uses of data versus creepy and abuses, how companies thread the needle and get their arms around data, and how to get started, with Malcolm Hawker, Head of Data Strategy with Profisee, Master Data Management and Data Governance thought leader.  Listen to learn the correct way to pronounce “data!” You can learn more about Malcolm at Profisee.com, Facebook, Twitter, YouTube and LinkedIn. Thanks, as always for listening! If you got some value and enjoyed the show, please leave us a review here: ​​https://ratethispodcast.com/lifebloodpodcast You can learn more about us at LifeBlood.Live, Twitter, LinkedIn, Instagram, YouTube and Facebook or you'd like to be a guest on the show, contact us at contact@LifeBlood.Live.  Stay up to date by getting our monthly updates. Want to say “Thanks!” You can buy us a cup of coffee. https://www.buymeacoffee.com/lifeblood

Malcolm Hawker, head of data strategy for Profisee, talks to us about Master Data Management, data governance. We highlight some of the major best practices for MDM. - Data security - Master data management - Data governance - Risk management - Master data management analytics

In this episode: Master Data Management and The Insight Engine Lauren Hawker Zafer is joined by Malcolm Hawker the Head of Data Strategy at Profisee. Who can benefit from this conversation? Master Data Management and The Insight Engine is a conversation for anyone who is interested in the value of Master Data Management (MDM) and how MDM fits into the current data mandala of: data fabrics, the data mesh, data integration, data orchestration and data activation. Take the steps to become truly data driven with Malcolm's experience and insight and start to grasp what the future of MDM holds and the types of technology that will provide the field with optimism; the Insight Engine being one of them. Who is Malcolm? Malcolm Hawker is a thought leader in the field of MDM and Data Governance and has consulted some of the largest businesses in the world on their enterprise information management strategies. Malcolm is a frequent public speaker on data and analytics best practices, and cherishes the opportunity to share practical and actionable insights on how companies can achieve their strategic imperatives by improving their approach to data management. As the Head of Data Strategy for Profisee, Malcolm's mission is to raise the awareness of the value of MDM and Data Governance to senior data leaders at companies across the globe. MDM and Data Governance remain a significant challenge to most companies, but through the application of practical and outcome-driven data management best practices, Malcolm's goal is to empower companies with the confidence and knowledge needed to become truly data driven. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

Part 2 : Malcolm Hawker, Head of Data Strategy for Profisee, and thought leader in the field ofMaster Data Management (MDM) and Data Governance. If you're an MDM zealot, let's go deep!Show Notes:00:32 The Head of Data Strategy02:00 Make it Easy, Accurate, and Scale05:48 What is Real vs Hype09:00 Profisee's Differentiator14:26 Reach out to Malcolm15:28 How to become a CDO18:50 Focusing on outcomes24:52 The end of the worldLinkedin: https://www.linkedin.com/in/malhawkerWebsite: https://profisee.com/Want to be featured as a guest on Making Data Simple? Reach out to us atalmartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Part 1 : Welcome Malcolm Hawker, Head of Data Strategy for Profisee, and thought leader in the field of Master Data Management (MDM) and Data Governance. If you're an MDM zealot, let's go deep.Show Notes01:28 Meet Malcolm Hawker06:33 MDM's future09:48 A unique view on data fabric14:07 The rise and fall of AOL19:46 The definition of MDM26:28 MDM reference architectureLinkedin: https://www.linkedin.com/in/malhawkerWebsite: https://profisee.com/Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while  keeping it simple & fun.

DESCRIPCIÓN DEL EPISODIO Seguimos con la 2ª parte de la entrevista al responsable de ventas para España de Informa D&B. Hoy profundizamos en las soluciones para la etapa de conocimiento y optimización de tus futuros clientes. CONOCIMIENTO Comprender mejor a tus clientes. Saber mirar los datos para ver nuevas oportunidades, eso es un insight. ⫸ SABI Marketing: software analítico que permite múltiples análisis y segmentaciones ⫸ Orbis y Amadeus: herramientas financieras y de marketing ⫸ Observatorio sectorial DBK: estudios de sectores españoles y portugueses ⫸ Aplicación de vinculaciones: todas las relaciones entre empresas ⫸ Geocode: normalización, enriquecimiento y tratamiento de BBDD del cliente B2C ⫸ Rentavalua: modelo de predicción del nivel de renta ⫸ D&B Hoovers: búsqueda de prospectos y acceso a las vinculaciones empresariales de todo el mundo OPTIMIZACIÓN. Enriquece tu estrategia comercial con nuestras soluciones B2B. Te ofrecemos recursos únicos en el mercado para mejorar la calidad de tus leads y acelerar los procesos de tu funnel de clientes. ⫸ Master Data Management: normalización, enriquecimiento y tratamiento de BBDD del cliente B2B ⫸ Geomarketing inAtlas Informa: Big Data de geolocalización predictiva ⫸ Lead Scoring: modelo predictivo personalizado machine learning para la valoración de leads online y su propensión a convertirse en clientes ⫸ Modelo de Caídas de Facturación: modelo predictivo personalizado basado en tecnología de inteligencia artificial para la prevención de bajas de clientes y caídas de facturación. ⫸ D&B Market Insight: analítica predictiva de clientes potenciales a nivel internacional Empezamos.

Malcom Hawker, the former Senior Director Analyst of Gartner is a thought leader in the field of Master Data Management and Data Governance. Malcolm has consulted some of the largest businesses in the world on their enterprise information management strategies. As the Head of Data Strategy for Profisee, his goal is to empower companies with the confidence and knowledge needed to become truly data-driven. Michael and Malcolm "geek out" over data - and define what master data management really is and why it is important. Don't focus on reports - the underlying issue is DATA and this episode helps explain why.

Malcolm and I discuss what master data managment is and why it's imperative that you get it right for your company. About Malcolm Hawker I'm a thought leader in the field of Master Data Management (MDM) and Data Governance and have consulted to some of the largest businesses in the world on their enterprise information management strategies. He is a frequent public speaker on data and analytics best practices and cherishes the opportunity to share practical and actionable insights on how companies can achieve their strategic imperatives by improving their approach to data management. As the Head of Data Strategy for Profisee, his mission is to raise the awareness of the value of MDM and Data Governance to senior leaders at companies across the globe. His focus is to help our prospects and clients understand the trends and challenges inherent to how companies manage data, and how MDM can be used to overcome those challenges and deliver prolonged business value. MDM and Data Governance remain a significant challenge to most companies, but through the application of practical and outcome-driven data management best practices, Malcolm's goal is to empower companies with the confidence and knowledge needed to become truly data driven. https://profisee.comSIGN UP FOR OUR NEWSLETTER HERE!Over 17,200 listeners and counting EPISODE LINKS: Profisee Malcolm Hawker on LinkedIn HELPFUL LINKS: How to Write a Business Plan in 13 easy to Build Slides PODCAST INFO: Apple Podcasts: EDGE on Apple Podcasts Spotify: EDGE on Spotify  YouTube Channel: EDGE on YouTube Website: EDGE Podcast RSS Feed: EDGE's RSS Feed SUPPORT & CONNECT EDGE's Weekly NewsletterJoin over 17,200 listeners and sign up to receive bonus content. It's free.  Sign up here >>> Please Support this Podcast by checking out our Sponsors: Mad River Botanicals 100% certified organic CBD products. The product is controlled from seed to end product by it's owners. Use code: EDGE22 to get 10% off all your orders. Shop here>>> EDGE Podcast. A top podcast for entrepreneurs!

Informatica (INFA) is an enterprise management company that pioneered the Informatica Intelligent Data Management Cloud or IDMC, which is powered by A.I. CFO Eric Brown weighs in on Informatica recently launching a strategic partnership with Oracle (ORCL). Also, Informatica (INFA) launched Master Data Management for Microsoft Azure that will be available in August.

Malcolm Hawker, Head of Data Strategy at Profisee discusses what Master Data Management is and why it is something that CIOs need to be focused on and how MDM and Data Governance enables data protection.

The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics. In this episode Malcolm Hawker shares his years of experience working in this domain to explore the combination of technical and social skills that are necessary to make an MDM project successful both at the outset and over the long term.

Join us every week where we answer your questions on Industry 4.0, IIoT, and digital transformation. Today we are talking about Use Case #03 for the UNS Use Case Series! We also talk about the differences in OEE for continuous vs batch vs discrete processes. OEE Resource Referencedhttps://www.bevywise.com/blog/oee-calculation-manufacturing-process/ Thanks for watching! Join our community Discord Server

Listen in on a delightful perspective on how to implement Data Science starting from a Data Management strategy standpoint. Scott Taylor, the “Data Whisperer” and a public speaker and published author in Data Management, has helped multinational and global executives obtain funding for their data science and data management projects from senior leaders and investors in their enterprises. We introduce his powerful approach on storytelling, including Scott's technique of bringing vocabulary, voice, and vision as a prelude to successful data management and data science real applications.

Wishing you all a very happy new year 2022!!In this episode, Gayatri is in conversation with Sriram Rangarajan, Accomplished Data Analytics Leader at IBM shared his data journey His role as an enterprise data architect and what lenses he has to wearWays to get started collecting, analysing and gaining insights from dataHow can young engineers joining the data ecosystem look at dataData to be viewed through the business process and lifecycle Ways of managing complexities across organization and system boundaries Onboarding application teams right at the start instead of making it an after thoughtHow can you manage data errors and keep the sanctity of data cleanChallenges that are encountered while handling master data, data definition and gaps in data setupWorking with regulatory bodies and keeping the right level of data without infringing into compliancePerspective of work has changed across three decades from task centric, business centric and what-if possibilitiesEnsuring that foundations are clearly understood on data prior to diving deeper into technologySriram started his career with TCS after his graduation from JNU. Sriram has worked in IBM, NetApp Inc, and Informatica, demonstrating in-depth knowledge of Data Governance, Data Integration, Master Data Management, Data protection, privacy, and data lifecycle management. Sriram is a data analytics and strategist at heart with robust experience acquired over the years in delivering optimal results in high-growth environments. He excels at cultivating collaborative professional relationships and delivering data-driven and business-centric solutions; Result-driven with extensive expertise across scalable enterprise architecture, value-driven data science, and full-stack engineering. Sriram can be reached at https://www.linkedin.com/in/mrsriram/ 

Laying the groundwork for good supplier data governance started with figuring out what granular aspects of supplier MDM were different from other domains like customer and item. First, Karen Coronado, the data governance team and stakeholders throughout the company established the Supplier MDM goals specific to their company. Then, they decided to invest in a built-for-purpose solution to accelerate ROI. Now, the company is implementing a supplier management platform that comes with best practices and out-of-the box templates.Watch this webinar to hear Karen discuss:Registering suppliers with an automated process that uses customized business rules and automated approval workflowsAvoiding supplier fraud and risk by closing control gaps in supplier setup and managementEnforcing standard payment termsPushing more suppliers toward electronic paymentsImproving strategic sourcing effortsSaving FTE time and moneySpeakers:Karen Coronado, Manager, Data Governance at Lennox InternationalAkhilesh Agarwal, SVP, Global Business Partner Technology Solutions at apexanalytixWebinar slides: https://bit.ly/3k0wusR Webinar video: https://www.apexanalytix.com/video-get-and-drive

Watch this episode on YouTube: https://youtu.be/RpOh04xVzWs This week we welcome Malcolm Chisholm. Malcolm is a well-known figure in the Data Governance and Data Management community, and writes some of the most compelling articles in the space. We have a wide-ranging conversation about End User Computing, including why Excel is not only okay, but essential! We also cover Business Rules Engines, Data Catalogs and Metadata Hoarding. Enjoy! * Get the Data Leadership Book – https://dataleadershipbook.com * Data Leadership Lessons on YouTube – https://www.youtube.com/c/DataLeadershipLessons* Save 20% on your first order at the DATAVERSITY Training Center with promo code “AlgminDL” – https://training.dataversity.net/?utm_source=algmindl_res * Guest and Sponsorship Inquiries – podcast@algmin.com About Malcolm Chisholm:Malcolm Chisholm has 30+ years of experience focused on data and its usage, and is a recognized international expert in Data Governance and Data Management. He has written three books: •Managing Reference Data in Enterprise Databases •How to Build a Business Rules Engine •Definitions in Information Management Additionally, Malcolm speaks frequently at conferences, and writes in the trade publications. As a consultant, Malcolm works in Data Governance, Analytics Governance, Data Management, Master Data Management, Data Privacy and Legal, Reference Data Management, Big Data Management, Data-centric Development, Semantics, Ontologies, Data Architecture, Data Modeling, Business Rules Management, End User Computing Governance, and many other specializations in the area of data. Malcolm has been awarded the prestigious DAMA International Professional Achievement Award for contributions to Master Data Management and Reference Data Management. — End-User-Computing Article: https://www.linkedin.com/pulse/4-reasons-why-end-user-computing-necessary-inevitable-chisholm— Data Millennium: https://www.DataMillennium.com

Meet: Mike Arbitman, Senior Director, Technology Organization Data and Analytics at Medidata, a technology leader skilled at defining, building, improving, and optimizing data-focused organizations delivering innovative and leading-edge solitons What you'll learn: Modernization of master data management Determining the system of record The changing complexity of data projects If you have any questions for Mike, please feel free to reach out via LinkedIn: https://www.linkedin.com/in/michaelarbitman/

Watch this episode on YouTube: https://youtu.be/b4nY4JTmAjM * Get the Data Leadership Book – https://dataleadershipbook.com * Data Leadership Lessons on YouTube – https://www.youtube.com/c/DataLeadershipLessons* Save 20% on your first order at the DATAVERSITY Training Center with promo code “AlgminDL” – https://training.dataversity.net/?utm_source=algmindl_res * Guest and Sponsorship Inquiries – podcast@algmin.com On this week’s Data Leadership Lessons, we talk with Bill O’Kane. Bill is VP & MDM Strategist at Profisee, a leading enterprise data management company that makes it easy and affordable for any size organization to ensure a trusted data foundation. Bill has over twenty years of experience in the design, development, and implementation of large-scale Data Governance and Master Data Management (MDM) programs and systems, with an emphasis on customer data. For more information about Bill and Profisee:– Profisee Home Page: Profisee.com– Bill O’Kane on LinkedIn: https://www.linkedin.com/in/bill-o-kane-3aa5a5/