Podcasts about data culture

In dieser Folge spricht Carsten Bange mit Britta Daffner über die Entwicklung und Umsetzung der KI-Strategie bei O2 Telefónica.

In dieser Folge des Data Culture Podcasts spricht Carsten Bange mit Philipp Ziemer, einem Technologieexperten für Data und Analytics. Sie diskutieren über die neuesten Technologie-Trends und die Bedeutung der Auswahl der richtigen Tools für Datenprojekte.

In dieser Folge des AI or DIE Podcasts spreche ich, Andreas Wiener, mit Carsten Bange, dem Gründer und Geschäftsführer der BARC. Wir tauchen tief in die Themen AI, Datenkultur, Data Governance und die Auswirkungen von Regulierungen ein. Außerdem diskutieren wir, warum Unternehmen, die heute nicht auf AI setzen, morgen den Anschluss verlieren werden.

In this episode, Carlos Peralta returns to The Tech Trek to dive deep into data culture in the wearable tech space, sharing how WHOOP turns petabytes of real-time biometric data into personalized, actionable insights. We explore the technical complexities behind data ingestion, transformation, and delivery, and how the mission-driven nature of WHOOP influences both their engineering decisions and company culture.

Is technology your silver bullet—or a shiny distraction? In this episode of Reliability Radio, Jason Smith of ABS Consulting joins us at IMC to cut through the noise. You'll hear: Why your CMMS upgrade won't save you without clean data What makes culture the real foundation of success How top-down AND bottom-up leadership fuels lasting change Why community, not competition, is key to growth

Dr Parves Khan is one of the most influential leaders in data, as well as regularly recognised as one of the top 20 women in the UK in technology.In this episode we talk about the common challenges organisations and leaders face when it comes to datahow data and analytics has changed during her 30+ year career her advice for creating a data cultureher view on AI and the future of workParves is a true expert in her field, and will get you thinking about how to build better cultures.

Join Wil Slickers in an engaging conversation with Josiah Mackenzie, Chief Marketing Officer at Actable and host of Hospitality Daily. In this episode, we dive deep into the intersection of profitability and culture in the hospitality industry. Learn about the importance of real-time data, the role of leadership in driving innovation, and ways to attract the younger generation to hospitality careers. Josiah shares his insights on creating operational efficiency, enhancing guest experiences, and building brand power to drive long-term success. Whether you're a hotel manager, vacation rental operator, or hospitality entrepreneur, this episode offers valuable takeaways for elevating your business. Tune in and explore the future of hospitality with us! Connect with Josiah: LinkedIn Actable Website Hospitality Daily Podcast Connect with Wil: LinkedIn Instagram This episode is brought to you by our sponsors at: This episode is brought to you by Fido! Professionals know that taking out the trash suck and is often missed! Well, not anymore, because Fido offers amazing bin-to-curb service. If you mention the podcast, they will take great care of you! Go to getfido.com to learn more! Hostfully – $300 off onboarding fee using code HFM300 - Connect with Frank here! Send Squared, the Hubspot for Hospitality Brands & Professionals! Get your business and leads organized and automated with Send Squared, the industry's best CRM! ——– Thank you for tuning into our podcast! Slick Talk is a Hospitality.FM production, and you can find more of our shows at Hospitality.FM or anywhere else you listen to your podcasts! Listen to more episodes on our website and take a look at our amazing podcast and network sponsors that make this all possible! You can also listen to our Monday morning podcast, Good Morning Hospitality, where we discuss the industry in a more casual setting! If you ever want to contact us for guest suggestions or anything else related to the podcast, please fill out our contact form, and we will be in touch! Last but not least, we love to connect on LinkedIn! Let's connect there so you can see the daily content we post beyond the podcast! Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode is a special edition in honour of International Women's Day on 8th March. Host Jason Foster is joined by Lou Hutchins, Director of Data Culture & Literacy at Cynozure, and Rose Attridge, Strategy Advisor at Cynozure. Together, they explore gender diversity in data and AI, the importance of sponsorship and allies, and challenges in male-dominated industries. They also discuss the role of data and AI in driving change, the need for role models, early engagement, and company action.    ***********    Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation. 

Carsten welcomes Ben Hoyle from ZEISS to talk about the extensive use of AI and generative AI at his company.

Mike & Tommy answer a great mailbag question on what it means to be a Citizen Developer in an organization with a low Data Culture.Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

SummaryIn this episode of Leadership Bites, Guy Bloom interviews Data Coach Paul Graeve, who shares insights on the intersection of leadership and data management. Paul  emphasizes the simplicity of data, debunks myths surrounding its complexity, and discusses the critical role leaders play in fostering a data-driven culture. He highlights the importance of viewing data as an organizational asset and the challenges organizations face in managing their data effectively. The conversation also covers the significance of data warehousing and the need for intentionality in data management practices. In this conversation, Guy Bloom and Data Coach Paul discuss the importance of data-driven leadership and the actionable steps leaders can take to foster a data-driven culture within their organizations. They explore the role of AI in data management, the challenges leaders face in transforming their data practices, and the mindset required to effectively utilize data for decision-making and organizational growth. The discussion emphasizes the value of data as a foundational asset for businesses and the necessity of intentionality and perseverance in building a data-driven culture.TakeawaysData is fundamentally simple: strings, dates, and numbers.Leaders must value data to invest in it effectively.Data can transform every aspect of an organization.A data-driven culture is essential for effective leadership.Organizations often struggle with scattered data across systems.Data warehousing provides a solution for managing data effectively.Leaders should be intentional about data management practices.Understanding data is crucial for strategic decision-making.Data is the identity of an organization, reflecting its operations.Building a data-driven culture is a continuous journey. Leaders must establish a culture that values data.Actionable insights from data require a data-driven mindset.Replacing 'I think' with 'Do we have data?' fosters better decision-making.Data-driven culture leads to unified decision-making among teams.AI can assist in managing and utilizing data effectively.Data is the foundation for all technology, including AI.Intentionality and perseverance are key in data transformation.Data-driven leadership improves organizational growth and decision-making.Survey tools can provide valuable insights into team morale and performance.Investing in data management is crucial for future business success.Sound Bites"The first step for a leader is to value data.""Your data is who your organization is.""We need to get our data ready.""AI can be a great tool in that effort.""We need to be intentional about it.""Data is our most valuable asset.""Data is the foundation and the future of business.""We are going to own our data.""Let's use data to make better decisions.""Everyone wins when the leader becomes data driven.""Data is incredibly simple."To find out more about Guy Bloom and his award winning work in Team Coaching, Leadership Development and Executive Coaching click below.The link to everything CLICK HEREUK: 07827 953814Email: guybloom@livingbrave.com Web: www.livingbrave.com

In this episode of Future Finance, we explore the intersection of data, storytelling, and financial strategy. Hosts Paul Barnhurst and Glenn Hopper sit down with Gabi Steele to discuss how modern AI tools are transforming FP&A teams and creating new opportunities for organizations to harness their data effectively. From manual processes to automated systems, we dive into the strategies behind making businesses truly data-driven.Gabi Steele is an acclaimed entrepreneur and data visualization expert, best known for her work as co-founder of Data Culture, a consulting firm enabling data-driven decisions, and Preql, an AI-powered enterprise metrics platform that recently secured $7 million in seed funding. With a background in graphic design and a master's in data visualization, Gabi is passionate about making data accessible, accurate, and actionable for businesses of all sizes. She shares insights from her journey, including her time at The Washington Post and the founding of innovative startups.In this episode, you will discover:How Gabi's creative background in graphic design shaped her approach to data visualization and entrepreneurship.The role of AI in automating data cleaning and governance for finance teams.Strategies for reducing technical debt in SMBs to unlock the full potential of data.Why storytelling is critical in finance and how data visualization bridges the gap between insights and action.Tips for fostering a data-driven culture within organizations and empowering FP&A teams.Gabi Steele provided a wealth of knowledge on how data visualization, AI, and automation are transforming the way finance teams operate. From reducing manual processes to fostering data-driven cultures, her expertise inspires both SMBs and larger organizations to rethink how they leverage data for strategic growth. Follow Gabi:LinkedIn: https://www.linkedin.com/in/gabriellasteele/Website: https://www.preql.com/Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:09] Introduction for Gabi Steele[01:09] From Art to Analytics[04:33] Data Storytelling in Finance[08:04] AI and FP&A Transformation[14:14] The Democratization of Analytics[18:15] Challenges in SMB Data Adoption[19:04] Building a Data-Driven Culture[33:58] Fun Get-to-Know-You Questions[38:16] Closing Thoughts

In this insightful episode of the Future Finance Show, hosts Paul Barnhurst and Glenn Hopper explore the evolving landscape of finance, data analytics, and automation with Gabi Steele, a seasoned data visualization expert and co-founder of Preql. The discussion navigates the challenges finance teams face in building data-driven cultures, leveraging AI tools, and creating efficiencies in data management.Gabi Steele is a graphic designer turned data visionary and entrepreneur. She is the co-founder of Data Culture and Preql, a platform streamlining data metrics for businesses. With a background in data visualization at The Washington Post and a passion for making data accessible, Gabi brings valuable insights on transforming data into actionable business strategies.In this episode, you will discover:How finance teams can leverage AI tools to reduce manual data processes and improve accuracy.The importance of storytelling and accessibility in data visualization.Ways to foster a data-driven culture within organizations of all sizes.Challenges and solutions for integrating AI with financial planning and analysis (FP&A).The future of low-code/no-code tools in democratizing data analytics.Gabi Steele offered a masterclass in how finance professionals can embrace the transformative power of data and AI. From simplifying complex data processes to fostering a culture of analytics, Gabi underscored the importance of aligning teams, tools, and technology for smarter decision-making. Follow Gabi:LinkedIn: https://www.linkedin.com/in/gabriellasteele/Website: https://www.preql.com/Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[01:48] - Introduction to the Episode[08:23] - Financial Modeling World Cup[19:37] - Discussion on AI Subscriptions[25:53] - Meet Guest: Gabi Steele[26:59] - Data's Role in Finance[33:58] - Leveraging AI in Data Management[39:07] Democratizing Data Access[44:57] Building a Data-Driven Culture[49:45] Challenges in SMB Data Integration[59:51] Fun Segment: Get to Know Gabi

"We have to care about data culture in the organization."

"Data quality is a major blocker for agility."

In this episode, host Jason Foster sits down with Cassandra Vukorep, Chief Data Officer at Lloyds of London. The discussion delves into the critical role of data literacy and how fostering a culture of data engagement can benefit a diverse range of organisations across various industries.  They also explore Cassandra's current role at Lloyds and the exciting data opportunities that can be applied to the insurance industry.    ***********   Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023, and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024.   

Building a strong data culture in nonprofits and public sector organizations can bring big advantages. When leaders focus on using data, they save time, raise more money, and make better choices for their organizations. Even though it might seem tough to invest in data with limited budgets, the long-term benefits make it worthwhile. By using data to guide their actions, organizations improve how they work and make a bigger impact on the people they serve. In this episode, Drew shares exactly how creating a culture of data can lead to these positive changes. You'll also hear real examples of organizations using data to make smarter choices, improve their programs, and build long-term success. You'll hear: (02:45) How investing in data capacity saves time and allows your organization to focus on its mission. (04:00) The real reason many organizations remain stuck in manual and time-consuming reporting. (05:10) How better data leads to securing that next six-figure grant for your nonprofit. (07:05) The challenge three out of four nonprofit leaders face when evaluating and reporting impact. (09:30) Why data is essential for making better strategic decisions and empowering leaders to think long-term.

For many organizations, the challenge isn't just in collecting or analyzing data—it's in making data a core part of the decision-making process. Leaders often find it difficult to embed a culture where data-driven decisions are not just encouraged but are the norm. Despite having access to valuable data, teams may hesitate to use it due to a lack of confidence, unclear expectations, or insufficient support from leadership. In a previous episode, we explored what defines a strong culture of data, including leadership commitment, data literacy, and governance. But today, we're taking it a step further by discussing the practical strategies you can implement to cultivate this culture within your own organization. You'll hear: (02:25) How you can create rituals around data to make it a regular part of organizational practices (04:40) Why asking questions instead of giving answers encourages data-driven decision-making (08:14) What celebrating data use publicly does to foster a positive and inclusive data culture Resources Mentioned: EP41 Does Your Nonprofit Have a Data Culture? Multipliers by Liz Wiseman

What is a data culture? When we talk about culture, it's about an environment. It's about practices. It's about habits. It's kind of like the air you breathe—the part of an organization that's sometimes hard to pinpoint but is always there. A data culture means creating an environment where the use of data is a priority in decision-making and is part of everything you do. You gather evidence, collect data, evaluate programs, and use this information to make decisions about management, fundraising, and more. A data culture has several key elements, and we'll cover five of them so you can understand what's important for building an organization that uses data in everything it does. Data should not be an afterthought but a central part of how an organization operates, makes decisions, and evaluates its impact. You'll hear: (03:11) How strong commitment from leadership drives a data culture (05:52) Why data literacy is crucial across your organization (07:10) What it means to make data accessible and usable throughout the organization (08:59) The importance of establishing a framework for effective data management (11:24) How to integrate data into daily decision-making processes

Welcome to another episode of How I Met Your Data! In this episode, hosts Sandy Estrada and Anjali Bansal are thrilled to welcome Malcolm Hawker, a seasoned expert in data and analytics with over 25 years of experience. Currently the Chief Data Officer at Prophecy, Malcolm shares his insights on master data management and data governance. The episode kicks off with a discussion about the recent CDOIQ conference in Boston, where Anjali and Malcolm co-hosted a session. They delve into the topics covered during their session, emphasizing the need for transforming data culture within organizations. Malcolm highlights the importance of delivering value and shifting mindsets to foster a positive data culture. Listeners will gain valuable insights on how to prioritize collaboration, continuous engagement, and leveraging product management principles in data leadership. Malcolm also shares his thoughts on the future of data management, including the potential of data fabrics and governance as a service. Don't miss this engaging conversation filled with practical advice and forward-thinking perspectives on the evolving landscape of data and analytics.

In Episode 40, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Greg Freeman, CEO of Data Literacy Academy, Hannah Davies, Head of Data Culture and Excellence at Admiral Group Plc and Kate Jones, Head of Data Product and Strategy at Coventry Building Society as part of a live panel event, where they discuss how to design and deliver an enterprise data literacy programme, from planning to impact, which includes; Understanding the business case for data literacy programmes Who should drive it and whyThe key steps in planning effective enterprise data literacyApproaches to obtaining buy-in and sponsorship How to build a data academy Communicating the value to the wider business Branding people with persona names Ways to measure success Why success metrics will change with maturity Proving the ROI on data literacy initiativesIf there is resistance to the word 'literacy'If structured data literacy programmes can work in smaller organisationsThe scale of dedicated resources required to execute Typical objections to running data literacy programmesSelling the benefits of why a data literacy programme is required The common challenges faced when implementing a data literacy programmeOvercoming those challenges Assessing the current level of data literacy before startingTailoring data literacy activities for different stakeholders and departmentsThanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

Today I welcome fellow Canadian Michael Hartley to the show. Michael is the director of InterKnowlogy, mining and energy. And that is a firm that operates at the intersection of risk management, human factors and data science to enhance decision-making. This conversation covers a wide range of fascinating stuff, mostly about how decisions get made during complexity and crises, mostly from Michael's background in energy and mining. However, the insights are applicable to a huge number of other contexts. And we cover the importance of decision making and critical thinking, understanding when decisions get made in organizations, data quality and presenting information, managing crises, AI and much more. Show Notes: Michael on LinkedIn InterKnowlogy Books and Papers "Thinking in Systems: A Primer" by Donella H. Meadows Amazon Link "The Black Swan: The Impact of the Highly Improbable" by Nassim Nicholas Taleb Amazon Link "The Fifth Discipline: The Art & Practice of The Learning Organization" by Peter M. Senge Amazon Link Concepts and Tools Goodhart's Law Goodhart's Law Explained Cynefin Framework by Dave Snowden Cynefin Framework Overview Scenario Planning Scenario Planning Overview Additional Resources Deepwater Horizon Incident Wikipedia Article Shell's Scenario Planning Shell's Scenario Planning Page Resilience Engineering Resilience Engineering Association _ _ _ _ Like what you heard? Subscribe to The Decision-Making Studio Podcast Sign up for our Decision Navigators Course Join our Aug 13th Webinar

Episode OverviewIn this episode of CDO Matters, please join Anjali Bansal and Malcolm Hawker as they unpack the intricacies surrounding the journey to becoming a data-driven organization, emphasizing the critical role of data leadership on data culture. From the nuanced insights gained through real-world experiences to expert perspectives on overcoming cultural barriers, Anjali and Malcolm with explore strategies for cultivating a culture where data takes center stage.Episode Links and ResourcesFollow Malcolm Hawker on LinkedInFollow Anjali Bansal on LinkedIn

In this episode, Chris Morgan, VP of Data Science at Lincoln Financial Group, dives into the evolving landscape of data culture. He discusses the impact of generative AI (Gen AI) on data practices, managing tech debt, and aligning stakeholder expectations. Chris emphasizes the importance of data governance, quality, literacy, and sharing strategies and analogies for fostering a robust data culture. He also addresses balancing immediate delivery with long-term vision in data management within a large, traditional organization. Highlights: 01:08 Defining Data Culture 03:17 The Importance of Stakeholder Engagement 10:05 Balancing Technical Debt and Emerging Trends 16:31 Managing Expectations with Gen AI Guest: Chris Morgan has always been passionate about numbers and data, finding Statistics as the ideal application of math. He excels at the intersection of data and strategy, leading teams to provide clear, actionable insights. Chris combines technical expertise, business acumen, and strong communication skills to align data science capabilities with organizational goals. Outside of work, he enjoys traveling, playing Euchre, outdoor activities, and addressing the issue of texting and driving. LinkedIn: https://www.linkedin.com/in/morganchristopher/ --- Thank you so much for checking out this episode of The Tech Trek. 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)

In doing research on the data-driven business approach, Jay highlights two books he read along the way. This book report episode has insights and descriptions on two books related to being a Data Driven enterprise and how they can help you understand a data-driven culture and how nonprofits can thrive when they focus on what the data in telling them.   Data Drive - Creating a Data Culture by DJ Patil and Hilary Mason O'Reilly Media, Inc. Published 2015 ISBN: 9781491921197   Data Driven Nonprofits by Steve MacLaughlin Saltire Press Published 2016 ISBN: 9780988850712 00.00 Intro: So much data, so many questions 01.00 (Book 1) Data Driven: Creating a Data Culture 04.00 (Book 2) Data driven non-profits  

In Episode 32, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom hosts a panel discussion alongside; Hannah Davies, Head of Data Culture & Excellence at Admiral GroupJosh Cunningham, Group Head of Data Culture at Lloyds Banking GroupCali Wood, Head of Data Strategy and Culture at AXA Sandra Oudshoff (who was the Global Analytics Engagement Lead at Heineken at the time of recording) Where they discuss how Data Culture teams are transforming organisations in 2024, which includes;Why Data Culture is more than just training The relationship between being 'data-driven' and failureThe importance of people and trust to improve competency and capability Why it's important to break the notion of culture down by target audienceWhy data culture is everyone's jobThe importance of having dedicated roles to drive data cultural initiatives Why culture is important to make better decisions that drive business value The different types of data culture initiatives that these organisations are deliveringBattling against ‘the taught' fear of data Differences in upskilling when catering for D&A colleagues and business stakeholders The importance of upskilling the executive teamUsing different mediums and methods of communication to highlight the value being realisedMeasuring how good your data culture is and the value of your culture initiatives The impact that data culture has on the value generated The importance of tracking and measuring engagement Understanding your data maturity and having a maturity roadmap The relationship between culture and valueTailoring culture initiatives to different personasThe relationship between self-service and data culture The major roadblocks/challenges you may face The impact that GenAI will have on data culture/literacy initiatives Key advice for any organisation that is just about to embark upon its Data Cultura journeyMaking these initiatives mandatory or optional Making data sexy and fun Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

Section 619 of IDEA's Part B focuses on the important element of early childhood special education services and supports. However, the various nature of preschool programs can make collecting high-quality data a challenge even for those with an iron—or should we say steel—will. In Mississippi, the quest to collect high-quality preschool data means working alongside the state's LEAs to overcome these shared challenges and to develop a sustainable culture of high-quality data, for example through an updated child outcome summary process designed to capture a fuller, more accurate picture of child progress. In this episode of A Date with Data, host Amy Bitterman heads South for a friendly sit-down with two of Mississippi's steel magnolias of preschool special education, Early Childhood Special Education 619 Supervisor Candice Taylor and 619 Coordinator Rebecca Palculict, to learn more. We're talking about new ideas in the Old South, and you're invited to come along.

Curious about how Expedia leverages data to fuel its vast network of partnerships in the travel industry? Join us as we dive into the world of global travel partnerships with Raegan Armstrong, Senior Director of Global Airline Partnerships at Expedia Group. In this discussion, Raegan sheds light on the critical role of data in driving strategic decisions and operational agility. Tune in now and discover how Expedia utilises data-driven insights to identify growth opportunities, tackle global challenges, and ensure seamless experiences for partners and travellers. ***** Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. They work with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and change management and leadership. The company was named one of The Sunday Times' fastest-growing private companies in 2022 and 2023 and named the Best Place to Work in Data by DataIQ in 2023. For more information, visit www.cynozure.com.

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Based on another incredible article by Brent Dykes, we have seen an incredible uptick in organizations stating their confidence in Data Culture. Yet what is the true cause, and are we perceiving data culture or actually experiencing it? Get in touch: Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page. Visit PowerBI.tips: https://powerbi.tips/ Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitips Subscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVv Subscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎ Check Out Community Jam: https://jam.powerbi.tips Follow Mike: https://www.linkedin.com/in/michaelcarlo/ Follow Seth: https://www.linkedin.com/in/seth-bauer/ Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Celina Wong is the current CEO of data consultancy Data Culture, and previously the Head of Data for 3 consumer startups, 2 of which were acquired, including TULA Skincare by P&G. She discusses how to build high-performing data teams & cultures, including breaking down the barriers between various functions.

Can tech democratisation and AI help solve the perennial problem of how we get access to our data and leverage it for new value without having to build it and hope that they come!This week Dave, Sjoukje, and Rob talk to Iain Niven-Bowling, CTO, Harbr about the data architecture crimes of the past that we still live with, data democratisation, better ways to access and connect to data sources and make data available via natural language interfaces. TLDR:01:04 Streaming confusion 06:00 Cloud conversation with Iain Niven-Bowling23:35 GenAI as the starting point for innovation 31:00 the Fan Dance! GuestIain Niven-Bowling: https://www.linkedin.com/in/iainnb/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Sjoukje Zaal: https://www.linkedin.com/in/sjoukjezaal/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-van-der-burg-99a655/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/

In this episode, we've gathered seasoned experts for a dynamic discussion on establishing a data culture within your product team. From benefits to challenges, our panel unravels the intricacies of making data an integral part of your decision-making process. Join us for insights that will reshape your product strategy.Get the FREE Product Book and check out our curated list of Product Management resources here.

Episode OverviewMany CDOs believe that transitioning their companies to a data-driven culture is the #1 roadblock to fulfilling their data strategies. In this episode of CDO Matters, Malcolm provides his insights on what behaviors and mindsets are needed from CDOs to model the culture they wish others outside the data and analytics function to embrace. Malcolm posits that meaningful culture change must necessarily start within data teams and that until CDOs themselves embrace being more data-driven, they can't realistically ask others to do the same. Episode Links and ResourcesFollow Malcolm Hawker on LinkedIn

Not every organization is ready to become data driven - in this podcast we explore how we know that our organization is ready to get deliberate about data, what strategies we have used to identify potential data champions, who we need to engage to create a data culture, and warning signs that tell you that now may not be the right time for your organization. Hosted by Alex Mouw, Principal Strategic Advisor for Membership Organizations at AWS for Nonprofits and featuring Rhoni Rakos, Director of Digital Strategy at FusionSpan and Chantal Almonord, the Chief Information & Engagement Officer at ISPOR. Make sure to follow TPAC on LinkedIn: https://www.linkedin.com/company/asae-tpac/

Thanks to GenAI, we have an overabundance of tools, models, and capabilities. However, the use and impact of these advancements is yet to be known. That's why in the age of technological innovation, traditional skills like fact-checking are more important than ever to ensure that the technology and predictions are correct. Guy Scriven, U.S. Technology Editor at The Economist, is on the frontlines of the AI explosion. In his tenure at the publication, he has served as a researcher and climate risk correspondent, and has grown his affinity for telling data-driven stories. Satyen and Guy discuss the role of data in journalism, instilling a culture of debate, and the unsexy – but critical – side of AI.--------“We've had this long period of experimentation and excitement. That's been basically marked by the supply side of AI just really ramping up. You've had loads of model makers releasing new models. You've had the cloud players buying enormous amounts of specialized AI chips. You've had thousands of AI application startups who are going to build on top of the model makers, who then use the AI chips from the cloud providers. You've had this boom in the supply side of AI. Now, the big question is whether the enterprise demand meets that and what shape it takes. I think we don't really have a good sense of that until at least the first couple of quarters of next year.” – Guy Scriven--------Time Stamps:*(02:22): Less reporting, more commentary *(13:32): Dataset discovery *(22:34): ChatGPT's hallucination problem *(34:38): AI headlines on the rise *(41:48): What's the next big AI story? *(46:10): Satyen's Takeaways--------SponsorThis podcast is presented by Alation.Learn more:* Subscribe to the newsletter: https://www.alation.com/podcast/* Alation's LinkedIn Profile: https://www.linkedin.com/company/alation/* Satyen's LinkedIn Profile: https://www.linkedin.com/in/ssangani/--------LinksConnect with Guy on LinkedIn

Get to know these successful thought leaders and find out how they present themselves and their crafts as experts in their fields. Tom Schmidt is a member of The Hero Club, who runs an insurance and financial services agency that specializes in employee benefits, long-term care, business succession, retirement, and estate planning for businesses and individuals. He helps individuals leave behind a legacy of stewardship and empowers those who follow them. The focus of his work is to have a meaningful impact on his clients, their families, their businesses, and their communities. If you're in a business and know that there's an upcoming crisis, consider reaching out to Tom Schmidt by calling his office phone number 405-751-1505 and visiting his LinkedIn page https://www.linkedin.com/in/tom-schmidt-833186bb4/.   Jim Vasconcellos is the Senior Consultant at ProAction Consulting. He helps clients develop and manage strategic, cultural, and structural changes in their organizations. If you're a leader within an undefined execution problem, you should reach out to Jim Vasconcellos by visiting his website at https://proactionconsulting.wixsite.com/home or https://www.linkedin.com/in/jimvasconcellos/. Piyanka Jain is the President and CEO of Aryng. She is also an author, keynote and speaker.  She is changing the world one company at a time using statistical methods, Machine Learning, Deep Learning, and AI. She is a leading expert in Data Literacy, building Data Culture, Machine Learning, Data Science, and Analytics. She has developed the BADIR framework which enables 10X+ faster insights, 20X+ impact, and has driven $1b+ in business impact for her clients. If you're not leveraging the data you already have inside your company, you should contact Piyanka Jain by visiting her website at  https://aryng.com/ or https://www.linkedin.com/in/piyanka/.  Global Credibility Expert, Mitchell Levy is a TEDx speaker and international bestselling author of over 60 books. As The AHA Guy at AHAthat (https://ahathat.com), he helps to extract the genius from your head in a two-three hour interview so that his team can ghostwrite your book, publish it, distribute it, and make you an Amazon bestselling author in four months or less. He is an accomplished Entrepreneur who has created twenty businesses in Silicon Valley including four publishing companies that have published over 800 books. He's provided strategic consulting to over one hundred companies, and has been chairman of the board of a NASDAQ-listed company. Mitchell has been happily married for thirty years and regularly spends four weeks in Europe with family and friends. Visit https://mitchelllevy.com/mitchelllevypresents/ for an archive of all the podcast episodes.   Connect to Mitchell Levy on: Credibility Nation YouTube Channel: https://bit.ly/3kGA1LI Credibility Nation LinkedIn: https://www.linkedin.com/company/credibilitynation/ Mitchell Levy Present AHA Moments: https://mitchelllevy.com/mitchelllevypresents/ Thought Leader Life: https://thoughtleaderlife.com Twitter: @Credtabulous Instagram: @credibilitynation Learn more about your ad choices. Visit megaphone.fm/adchoices

This podcast explores the question “What are the steps on the journey to become a data-driven organization?” In answering that question, The panel identifies 5 critical steps along the way: Senior staff engagement & commitment Create a plan for data Communicate to staff Invest in data infrastructure Measure and iterate Hosted by Alex Mouw, Principal Strategic Advisor for Membership Organizations at AWS for Nonprofits and featuring Dana Karstensen, CAE, MBA, IOM the Data Governance Product Manager at the American Society of Anesthesiologists and Wes Trochill, Owner of Effective Database Management. Make sure to follow TPAC on LinkedIn: https://www.linkedin.com/company/asae-tpac/

This year the ASAE Technology Professional Advisory Council (TPAC) will host a series of podcasts on data. This podcast features a conversation between three TPAC members on the value of having a data culture, ways associations will benefit, as well as specific examples of associations seeing returns from their focus on data. Hosted by Alex Mouw, Principal Strategic Advisor for Membership Organizations at AWS for Nonprofits and featuring Dana Karstensen, CAE, MBA, IOM the Data Governance Product Manager at the American Society of Anesthesiologists and Wes Trochill, Owner of Effective Database Management. Make sure to follow TPAC on LinkedIn: https://www.linkedin.com/company/asae-tpac/ Artificial Intelligence (AI) was used in the editing of the podcast to remove "Umm"s and "Ahh"s, but all content was created by people!

This year the ASAE Technology Professional Advisory Council (TPAC) will host a series of podcasts on data. This podcast features a conversation between three TPAC members into how an association becomes data driven, things that will be important for them to be successful, and some examples of benefits from taking the dive into data! Hosted by Alex Mouw, Principal Strategic Advisor for Membership Organizations at AWS for Nonprofits and featuring Dana Karstensen, CAE, MBA, IOM the Data Governance Product Manager at the American Society of Anesthesiologists and Wes Trochill, Owner of Effective Database Management. Make sure to follow TPAC on LinkedIn: https://www.linkedin.com/company/asae-tpac/ Artificial Intelligence (AI) was used in the editing of the podcast to remove "Umm"s and "Ahh"s, but all content was created by people!

The art of medicine happens when physicians combine data and knowledge to deliver better patient outcomes. A physician that relies both on guidelines and their learned experience is creating a culture of data and insights and improving the lives of patients. Whether you're a doctor or a data leader, knowing how to balance data and intuition will always drive better results.Dr. Bapu Jena is an economist, physician, and Joseph P. Newhouse Professor of Health Care Policy at Harvard Medical School. He bridges his professions to explore the economics of healthcare productivity and medical innovation. Satyen and Bapu discuss leveraging data in healthcare, applying AI in medicine, and measuring the innovation of doctors.--------“We have put a premium on the innovativeness of the technology. There could be a new molecule that attacks a pathway that has never been attacked before. If that molecule doesn't improve life expectancy or improve quality of life, then there's not a lot of value to me in that innovation, even though it's certainly innovative. I care more about whether or not it impacts patients' lives. The correlator to that is that you could have a medication which does not appear to be that quote, unquote, ‘innovative,' at all because it's just a reboot, in some respect, of other medications. But, it's taken in a way that people are more likely to be adherent to. Those types of technologies are sometimes pooh-poohed on, but they could be very valuable because what ultimately matters is the outcome of whether or not a person gets better when they're on that medication, not how innovative it is. This is also a problem when it comes to data-driven interventions, as well. Because, there's a lot of interest in AI and non-medical technologies, or non-life science technologies. The key there is you've got to demonstrate that there's some outcome benefit.” – Bapu Jena--------Time Stamps:*(03:23): Predictable randomness *(12:13): Data points tracking intensity of care *(25:48): AI in medicine *(31:29): The politics of standards of care *(38:41): The challenges of influencing change *(51:18): Satyen's Takeaways--------SponsorThis podcast is presented by Alation.Learn more:* Subscribe to the newsletter: https://www.alation.com/podcast/* Alation's LinkedIn Profile: https://www.linkedin.com/company/alation/* Satyen's LinkedIn Profile: https://www.linkedin.com/in/ssangani/--------LinksRead Bapu's book Random Acts of MedicineRandom Acts of Medicine SubstackListen to Freakonomics MD podcast

Over the last two seasons of Data Radicals, we've seen that data experts have been promoted to leadership roles. It's proof that organizations are seeing the value of data and the significance of establishing a data culture.In this episode, you'll hear from past guests like Stan McChrystal, Tricia Wang, and Paul Leonardi as they discuss traits of a successful data leader, adapting your data strategies, and the importance of soft skills.--------“I found that if I told somebody to do a task, they might try to do that task. But if I say, ‘Create this effect,' they owned it because they felt a level of responsibility for what approach that they chose, and it made it much stickier.” – Stan McChrystal, Retired US Army General“I think having gone through the valley of suffering myself, I have a massive amount of respect for founders because they carry a weight that most people will never realize. So it's hard for me not to like them.” – Jepson Taylor, Chief AI Strategist at Dataiku“Those CDOs that are most successful quickly establish trust within business, with business sponsors. They work with the business sponsors to identify what are the one or two or three most important things to them and see if they can solve those questions, even if it's with a very small subset of data, to begin to develop that relationship, that trust.” – Randy Bean, Author of Fail Fast, Learn Faster“You have to be able to have a learner's mindset. You have to understand what different teams and functions do and how they play into a bigger picture so that you can get into cause and effect. And then when you start to do that, you have a lot more ability to actually have impact.” – Wendy Turner-Williams, CDO at Tableau--------Time Stamps:*(00:48): Randy Bean: Alignment with expectations *(02:39): Jennifer Belissent: The diplomatic CDO*(05:01): Taylor Brown: Lead by example*(05:44): Ashish Thusoo: The DNA of a CDO*(07:48): Stan McChrystal: The strength of humility*(15:40): Paul Leonardi: Collaboration, computation, and change*(17:50): Mike Capone: Tapping your network*(18:39): Tricia Wang: The other vital “C's”*(19:41): Bernard Liautaud: Setting your North*(21:03): Jepson Taylor: Heroism and the human touch*(22:45): Wendy Turner-Williams: Leading future leaders--------SponsorThis podcast is presented by Alation.Learn more:* Subscribe to the newsletter: https://www.alation.com/podcast/* Alation's LinkedIn Profile: https://www.linkedin.com/company/alation/* Satyen's LinkedIn Profile: https://www.linkedin.com/in/ssangani/--------LinksListen to Randy Bean's episodeListen to Jennifer Belissent's episodeListen to Taylor Brown's episodeListen to Ashish Thusoo's episodeListen to Stan McChrystal's episodeListen to Paul Leonardi's episodeListen to Mike Capone's episodeListen to Tricia Wang's episodeListen to Bernard Liautaud's episodeListen to Jepson Taylor's episodeListen to Wendy Turner-Williams's episode

How does the NBA use data to compete and improve? When it comes to driving business growth with data, transparent communication makes success a slam dunk. By sharing innovative ideas and best practices across the business, one all-star team elevates the success of others across the entire organization.Michael James, SVP and Head of Data Strategy and Analytics at the NBA, is committed to creating a better fan experience and making better business decisions through collaboration. In this role, he bridges executive leadership and technical expertise to create a data-driven culture in constant pursuit of innovation. Satyen and Mike discuss the NBA's digital transformation, the future of GenAI in the league, and attracting more people to sports business analytics.--------“We have very active communication with our teams. You build up a relationship over time and you start to realize, ‘If this person is sharing this thing that worked, we have a good sense of who else might be able to benefit from it.' We'll make sure to package that up in a way that is not only informative, ‘Here's what the team did,' but also has the tangible next steps. ‘Here's what you can actually do with this to drive the business.' And it's no different on the data side. We've built a ton of data products through the years at the league level for our teams, also for different departments within our league office as well. But, the goal of all of those products is to make sure that we are driving better business decisions, we're driving a better fan experience, and, ultimately, that's going to lead to more revenue.” – Michael James--------Time Stamps:*(13:16): Sharing the (data) ball among the league*(17:34): Establishing best practices across an enterprise*(37:08): Measuring performance to measure culture*(41:16): Improving DEI in data*(46:57): Satyen's Takeaways--------SponsorThis podcast is presented by Alation.Learn more:* Subscribe to the newsletter: https://www.alation.com/podcast/* Alation's LinkedIn Profile: https://www.linkedin.com/company/alation/* Satyen's LinkedIn Profile: https://www.linkedin.com/in/ssangani/--------LinksFollow Michael on LinkedIn

If you're on a journey of fitness, you know that perfectionism is your enemy. The same goes for data. There will always be another achievement that you wish to reach. Instead, focus on creating habits that will lead you to better data decisions and long term health.Ameen Kazerouni knows this journey well. Ameen has spent his career at the intersection of science, data, and technology to create intuitive, data-driven experiences. In his role as CTO of Orangetheory Fitness, he is driving consumer wellness journeys by turning workout data into feedback and personalized recommendations. In this episode, Satyen and Ameen discuss data-driven exercise, keeping humans in the feedback loop, and AI data governance.--------“We make a lot of investment in demystifying the Orangetheory workout. And there's a lot of parallels to data, and I love that because when you think about data in an organization, ‘Well, it's going to be a multimillion dollar investment.' And it can get so overwhelming that instead of being like, ‘Let's start piece by piece,' the instinct becomes, ‘Let's just keep guessing instead.' Which is never a good idea. You should never, ‘Let's just revert to not using data at all because it's going to be really difficult to use data perfectly.' It's the same thing with fitness. You don't revert to doing nothing at all because meeting all the requirements will be hard. Showing up and getting started is what gets you going.” – Ameen Kazerouni--------Time Stamps:*(04:42): AI in the workout*(13:56): Data as a habit*(25:45): AI data governance*(38:36): The future of connected health*(44:08): Satyen's Takeaways--------SponsorThis podcast is presented by Alation.Learn more:* Subscribe to the newsletter: https://www.alation.com/podcast/* Alation's LinkedIn Profile: https://www.linkedin.com/company/alation/* Satyen's LinkedIn Profile: https://www.linkedin.com/in/ssangani/--------LinksFollow Ameen on LinkedIn

The role of data teams continues to evolve across industries. But in mission-driven fields such as healthcare, data creates efficiencies that could potentially save lives. In this episode of The Data Chief, Cindi is joined by Jeremy Forman of Seagen to discuss the pivotal role his data team plays in driving insights-informed decision-making, and how they successfully collaborate with other departments to improve patient outcomes.  Key Moments: The key challenges for data leaders in healthcare [3:50]How Jeremy's team supports company-wide initiatives [9:16]Fostering cross-team communication and collaboration [12:08]An ideal data organizational structure [14:39]Driving organizational change [17:09]Building an entrepreneurial culture [20:59]Setting competing priorities [29:01]FAIR data principles [36:34]Jeremy's career path [41:19]Mentions:Bill and Melinda Gates FoundationGeronimo Restaurant in Santa Fe, New MexicoChatGPTBardAmazon TitanLos Alamos National LaboratoryOracleGet even more insights from data and analytics leaders like Jeremy on The Data Chief.  Mission.org is a media studio producing content for world-class clients. Learn more at mission.org.

A large integrated oil and gas company has invited me to address their global center for data excellence. That such an organizational creation is necessary is both telling for some and enlightening for others. Data has been central to my work on digital innovations in oil and gas from the very beginning because digital innovation is almost always about capturing value from a reliable data asset. My simple digital innovation formula includes data at its very core: Sensors generate data Analytics (AI and machine learning tools) interpret the data Semi-autonomous and fully autonomous devices (robots, drones) carry out real work using that data Cloud computing is where data lives Trusted ledger services provide confidence in the data. In hindsight, it's rather sensible that a center for data excellence is now part of the organization structure of a big oil and gas player. Without better data acumen, oil and gas companies are like street brawlers showing up for a fist fight only to discover the opponent is equipped with a pistol. We're seriously outgunned in the fight for talent, the battle for capital investment, and the latest race called energy transition (which has a huge data theme to it). The work culture of oil and gas is the basis for why our industry lags other sectors in how we think about and approach data.

As human beings, we're not accustomed to talking about data. In order to learn about new subjects, we traditionally use stories. However, bridging the gap between data and stories allows us to cross that barrier and create data-driven organizations.In this episode, Satyen interviews Ashish Thusoo, GM of AI and ML at AWS. Previously, Ashish was the Founder and CEO of Qubole, a pioneering cloud data lake platform. He also served Facebook as the Engineering Manager of Data Infrastructure where he co-created Apache Hive with the aim to democratize data access and analytics. Satyen and Ashish discuss the accelerated push to the cloud, building a data culture, and how the economic climate is impacting customers.--------“You have to remember, human beings are trained from the get-go to talk about stories, not data. That's how we learn. It takes special discipline to bring the conversation back to data, saying that, ‘You have this anecdote somewhere. Get me the data that proves or disproves it.' That specific mindset has got to be inserted in the organization, and that's how it becomes data-driven. It's a very fine line, but if you cross that line, essentially you become a data-driven organization. But, if you stay on the side of anecdotes and stories, then you can't bridge that.” – Ashish Thusoo--------Time Stamps:*(02:33): The SQL excitement that powered Hive *(13:42): The evolution of Qubole's founder hypothesis *(22:48): Navigating Amazon with AI/ML *(31:41): The future of AI/ML investment*(42:01): People are the foundation of the data culture*(45:57): Satyen's Takeaways--------SponsorThis podcast is presented by Alation.Learn more:* Subscribe to the newsletter: https://www.alation.com/podcast/* Alation's LinkedIn Profile: https://www.linkedin.com/company/alation/* Satyen's LinkedIn Profile: https://www.linkedin.com/in/ssangani/--------LinksFollow Ashish on LinkedInLearn more about AI/ML services on AWS

A data catalog provides an index into the data sets and schemas of a company.Data teams are growing in size, and more companies than ever have a data team, so the market for data catalog is larger than ever. Mark is the CEO of Stemma and the co-creator of Amundsen, a data catalog that came The post Self-Service Data Culture with Stemma's Mark Grover appeared first on Software Engineering Daily.