Data Citizens Dialogues

Data is more than just a buzzword at Colt Technology Services; it's the linchpin of their operational evolution. In this episode, we talk with Ram Narasimhan and Rohan Pawar about how Colt is reshaping its organizational culture around a five-pillar program designed to democratize data and foster trust at every level of the enterprise.Navigating through the complexities of data quality and cloud-based governance, our guests offer invaluable insights into the convergence of business strategy and technology. They also discuss the real-world benefits of a data-driven approach, from enhancing customer experience to unlocking new revenue streams. Tune in to learn how their journey can serve as a roadmap for your own organization's data-driven transformation.Three reasons you should listen to this episode:1. Democratization in Action: Get an insider's view of Colt's five-pillar program that is setting new standards in democratizing data and fostering organizational trust.2. The Business-Technology Synergy: Understand the nuances of aligning business strategies with data and technology, as explained by experts in the field.3. Tangible Benefits: Hear firsthand about the measurable improvements in customer experience and revenue generation that a data-driven culture can achieve.ResourcesConnect with Ram on LinkedInConnect with Rohan on LinkedInEnjoyed this Episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

In healthcare, data governance stands as a pivotal factor in improving both patient outcomes and operational efficiency. In this episode, Roy Schmidt, Data Governance Program Manager at Envision Healthcare, joins us to share an insider's perspective on how his organization has successfully implemented a robust data governance program, impacting both clinicians and patients alike. Roy delves into Envision Healthcare's transition toward value-based care, a model which rewards healthcare providers based on patient outcomes rather than services provided. Join us as we explore how combining effective data governance with a human-centric approach can make a transformative difference in healthcare delivery, patient satisfaction, and overall organizational goals.Three reasons you should listen to this episode:1. Real-World Success Insights: Gain a deeper understanding of Envision Healthcare's successful data governance model that optimizes healthcare delivery and patient outcomes.2. Value-Based Care Unveiled: Discover the critical role data governance plays in enabling a value-based care system, enhancing both patient satisfaction and cost-effectiveness.3. Human-Centric Data Governance: Learn how a people-first approach in data governance not only increases operational efficiency but also contributes to compassionate healthcare delivery systems.ResourcesConnect with Roy on LinkedInEnjoyed this Episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

Navigating the intricacies of building a data governance program within  a banking context is no small feat, requiring strategic vision, stakeholder buy-in, and detailed execution. In this episode, Börge Hansen, Strategic Data Manager at Union Investment, invites us into his world of establishing a data governance program across the organization. , where hHe reveals the nuances of his comprehensive approach and shares lessons learned along the way.Hansen emphasizes the importance of having a structured and comprehensive overview of data within a bank, a foundation that has proven critical in his role. He candidly discusses the indispensable need for designated data owners for each system and outlines the strategies he employed to secure essential stakeholder buy-in. Join us for a deep dive into Börge's journey, offering a masterclass in the tangible steps and strategic thinking required to produce exemplary results in data governance.Three reasons you should listen to this episode:Gain firsthand insights from Börge Hansen, as he navigates the complexities and challenges of building a robust data governance program in a banking environment.Understand the pivotal role of having a comprehensive and structured overview of data, and appreciate the value of designated data owners within a banking system.Learn actionable strategies for securing essential stakeholder buy-in for data governance initiatives, drawn from Börge’s wealth of experience and proven track record.ResourcesConnect with Börge on PolyworkEnjoyed this Episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

Amid a sea of change, the retail landscape has dramatically shifted over the past five years. In this episode, Henry Rice from Frasers Group joins Chief Data Citizen, Stijn Christiaens, at Data Citizens On the Road where they explore the far-reaching impacts of Brexit, the global pandemic, and the cost of living crisis on the retail industry. In the latter part of the conversation, Henry and Stijn tackle the challenge of morphing a 'data village’ into a formidable 'data metropolis.’ They also explore how we can shatter the age-old boundaries between technical and business facets to become indispensable data partners to our business.Three reasons you should listen to this episode:Learn about the profound impact of Brexit, the global pandemic, and the cost of living crisis on the retail landscape, and how Frasers Group managed to adapt and thrive.Understand the pivotal role of data governance in adopting emerging technologies like generative AI and machine learning.Discover insights on transitioning from a 'data village to a 'data metropolis', the importance of aligning with the business, and how to become an indispensable data partner to your business.ResourcesConnect with Henry on LinkedinConnect with Stijn on LinkedinEnjoyed this Episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

In this episode, Katie Reynolds, Director of Data Management, Analytics, and Visualization at Case Western Reserve University draws on her experience with building a data community across various universities to underscore the importance of data governance amidst extensive regulatory requirements.As we explore the rapid evolution of technology and AI, and the pivotal role of data governance communities in expediting the journey towards effective data governance in higher education, Katie’s journey highlights the power of shared experiences, from success stories to challenges, and the insights gleaned from interacting with other universities. Three reasons you should listen to this episode:Grasp the complex dynamics and importance of establishing a data community in higher education, and the integral role of data governance in this context.Learn about the transformative power of data governance communities in propelling the journey towards effective data governance in higher education.Gain insights into the rapid advancements in technology and AI and their implications for the future of data governance.ResourcesConnect with Katie on LinkedinEnjoyed this Episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

The significance of data literacy in our efforts to promote collaboration and decision-making cannot be overstated. In this episode, John Yelle, Executive Director for Enterprise Data Management at DTCC, takes us inside the fascinating world of the financial industry to explore the three V's of data - volume, velocity, and variety - and learn how they play a vital role in driving this digital evolution. Join us as we delve into DTCC's data management program, a seven-year journey of dedication and innovation. John shares invaluable insights about the importance of data quality, governance, and the necessary cultural changes for achieving a successful transformation. We also discuss the tangible measures of success, such as risk reduction, faster results, and effective capacity planning, which serve as proof of the merit of a data-first digital transformation approach.Three reasons you should listen to this episode:Gain insights into the role of data - volume, velocity, and variety - in driving digital transformation in the financial industry.Learn about the importance of data quality, governance, and cultural changes in achieving a successful digital transformation.Understand the measures of success for a data-first digital transformation approach, including risk reduction, faster results, and capacity planning.ResourcesConnect with John on LinkedinEnjoyed this Episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates and additional resources, please visit our website.

Discover the fascinating world of data marketplaces and unlock the potential of monetizing your organization's data in our conversation with Jay Bhankharia, a Senior Director at Databricks. Jay shares his expertise on how data marketplaces connect buyers and sellers of data assets and discusses the role of Language Learning Models (LLMs) in enhancing the user experience and aiding data providers in sharing and selling data more effectively.In this episode, we’ll explore the increasing importance of data marketplaces for businesses in the digital age, highlighting a Gartner study that states that companies who collaborate and share data have three times better economic outcomes than those that don't. Learn how data marketplaces offer an open platform for customers to access data from multiple vendors, transferring it into their own tools and platforms with ease. We also touch on the impact of controls in data marketplaces to ensure data products are user-friendly and easy to purchase, and the exciting advancements in technology that have enabled companies to access and use data more efficiently, such as cloud computing, data science, and governance and access controls. Don't miss our conversation on the future of data marketplaces and how they're becoming a key component of business success.ResourcesConnect with Jay on LinkedinEnjoyed this Episode?If you did, subscribe and share it with your friends! Post a review and share it! If you enjoyed tuning in, then leave us a review. Have any questions? You can connect with us on LinkedIn. For more updates, please visit our website.

Data strategy in 2023 is no longer a mystery. As businesses embrace data monetization, it’s vital to understand how to convert data products into revenue sources. In this episode, we chat with Stijn Christiaens, co-founder and Chief Data Citizen of Collibra, who unveils the secrets of data strategy and bridges the gap between data and business language.Join us as we explore the evolving role of data engineers and their need for a deeper understanding of the products and applications they work on. We also discuss the significance of data democratization and the emerging data marketplace, which allows organizations to access and measure data value in a democratic way.Tune in to this insightful episode to stay ahead of the curve in data strategy.Here are three reasons why you should listen to this episode:1. Learn the importance of data monetization in your overall data strategy.2. Discover how the role of data engineers is evolving as they adapt to operationalizing machine learning models.3. Understand the impact of data democratization and the rise of data marketplaces on the business landscape.ResourcesConnect with Stijn on LinkedinEnjoyed this Episode?If you did, subscribe and share it with your friends! Post a review and share it! If you enjoyed tuning in, then leave us a review. Have any questions? You can connect with us on LinkedIn. For more updates, please visit our website.

Join us LIVE at Collibra’s DC’22, where we talk about the relevance of data intelligence. We are joined by the 2022 Collibra Excellence Award-Winners: Acceleration All-Star winner Heather Wentworth, chief data officer of Accelerant Holdings; Program of Year winner David Mitchell, senior director of engineering of Cox Automotive; and Collibra Ranger of the Year Peter Vennel, enterprise data strategy and execution executive of Equifax.How do businesses strike the ideal balance between powerful analytics and ease of use? Tune in to learn how data intelligence can help you solve problems and grow your business.Here are three reasons why you should listen to this episode:Learn why these individuals and companies stand above the rest in data intelligence.Discover the secret to maximizing Collibra.Unravel the future of data intelligence.Resources Learn more about CollibraAccelerant Cox AutomotiveEquifaxConnect with our guestsHeather: LinkedInDavid: LinkedInPeter: LinkedIn | TwitterEpisode Highlights[01:54] Collibra Award’s SignificanceAccording to Heather, the Acceleration All-Star of the Year award represents the company’s efficient planning and implementation from start to production.David sees the Data Program of the Year award as a culmination of their data strategy and execution efforts. It also highlights their culture of innovation and collaboration. Winning the Collibra Ranger of the Year award, Peter considers their company’s decision to use Collibra a wise investment. [06:47] How They Started in the Field of Data David was a software engineer before moving into the financial data industry, where he discovered his love for problem-solving and helping customers.Heather shifted careers because of the culture of valuing sizzle over data.Given his professional background, Peter’s transition into the data industry was not by chance. As he continues to work in the field, he hopes to improve its quality.[13:12] Reduce the Swivel Chair Instead of focusing on various aspects, it is best to concentrate on system engagement.David: “As you look at bringing people processing technology together, you’ve got to win the hearts and minds of people to actually get involved in [system engagement].”Learn how to use Collibra’s automation to pull information rather than having people do it.[14:25] The Secret Sauce Your team is the key to success.Start-ups have a significant advantage in moving around the data ecosystem quickly.Understand your company culture.Heather: “​​All of my team have some experience and have seen the [worst...

Join us LIVE at Collibra’s DC’22, where we talk about the importance of data governance with Joe Wallace, senior manager for Digital Asset Governance, Adobe, and Ryan Galloway, senior vice president for Moody's Corporation. How can companies improve their data quality and decision-making processes? Listen as they explore some of the challenges associated with data governance and share tips for overcoming them. Tune in if you want to learn to integrate effective and ethical data governance in your company.Here are three reasons why you should listen to this episode:Find out how Adobe and Moody’s Corporation integrate data governance.Learn how Adobe and Moody’s Corporation utilize data governance to achieve their company goals.Discover how data governance can help companies succeed in today’s market.Episode Highlights[03:09] Moody’s Corporation and Data Governance Ryan: “I always say push versus pull. It's a journey. You have to start there.”Moody’s Corporation welcomed data governance to their company because they believe it would be helpful for business. As a result, they found an advocate for data governance and thought of using it to solve business problems.Any company interested in integrating data governance should consider building the following: standards and policies, business partners, advocacy, and real governance.Once these are in place, form a data governance team to help solve real data-related business problems.Focus on the mantra, “success breeds success.”[04:13] Digital Asset Governance and Data GovernanceJoe: “Fish with a smaller fish to get a bigger fish.”Adobe started small and ended big by building data governance around the company’s goals.It grew exponentially as more and more people heard and saw the data-related efforts the company was doing.The people could enrich the company because it dedicated its time to guiding them, providing them with playbooks, and facilitating their work.[07:16] Data, Water, and CakeJoe believes that data is like water. You trust the source that the water is clean.He adds that data is a component of a cake. The top layer where the frosting sits pertains to the business layer (e.g. process flows, business rules), the one people see.Below the frosting are the data products. The final layer is the data lineage.The three layers compose every company's data governance. They are assets that draw customers in and protect them.Data governance should always be customer-centric.[10:34] The Future Of Data GovernanceSociety has moved from wanting more data to trying to solve the problem of excess data. Hence, Joe believes that over the next ten years, people will start labeling and organizing data.Joe: “The groundwork is there. But I think there's just gonna be more and more and more and more data.”Ryan agrees that there is a ton of data in society today. So, the challenge for people now is defining meaningful and not meaningful is critical.He adds that automation will improve. Scanning databases and grading data lineage could become automated in the future.Ryan: "You're never done with data governance. We must realize this isn't going away. This is something we're going to have to continue doing."About Joe and RyanJoe Wallace is the senior manager of Digital Asset Governance at Adobe. He has over 15 years of experience in digital asset management and has been instrumental in developing and...