Data Citizens Dialogues

While the data lake has been a true innovation for industries looking to get more from their data, the question remains: what's next? One possible future is what Paul Mendes, AVP of Data Enablement and Governance at Sun Life, calls "Data Governance 3.0." How will this new framework revolutionize the way organizations handle and trust their data?This week, Paul and Thomas dig into how AI governance frameworks are essential for navigating the complexities of ethical data use, the immense challenges of managing unstructured data, and the importance of ensuring data quality for critical processes. Paul highlights why the ability to manage data responsibly and strategically is key to maintaining a competitive edge in an increasingly digital world. Recorded live at DC 24 in Orlando, this conversation serves as a forward-looking roadmap for navigating the complexities of Data Governance 3.0.Three reasons you should listen to this episode:1. Enabling better decisions with data. Learn how shifting from traditional governance to a business-focused approach can empower your teams to make faster, more informed decisions.2. Building a governance framework for AI. Hear strategies for building a responsible and effective governance model to harness the power of AI.3. Tackling unstructured data with confidence. Explore tools and techniques to handle unstructured data—like call logs and videos—while ensuring quality and compliance.ResourcesConnect with ThomasConnect with PaulEnjoyed 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.

Faced with the complexity of managing massive amounts of digital data, it’s no surprise that organizations are rethinking how to empower their teams. Garth Gehlbach, Head of Data Governance at Western Governors University, joins us live at DC 24 in Orlando to reveal how the university implemented a self-service data discovery platform, transforming the way users access and leverage information.By leveraging a "Google for data" approach, WGU has built a system that allows users to quickly find and confidently trust the data they need. And thanks to the power of metadata in providing critical context and making data more accessible and reliable, WGU’s self-service model not only offers a practical blueprint for overcoming fragmented data sources and inconsistent reporting; it also paves the way for a more scalable and efficient data governance model.Three reasons you should listen to this episode:1. Empowering your team with self-service data tools. Discover how implementing a self-service data discovery platform can transform your organization's efficiency, enabling users to independently find, understand, and trust data.2. Unlocking the power of metadata. Hear how WGU used metadata to provide critical context, making data more accessible and reliable, and how you can apply similar strategies to your data governance efforts.3. Overcoming data governance challenges. Gain insights into tackling common issues like fragmented data sources, inconsistent reporting, and building trust in your data through proactive governance strategies.ResourcesConnect with ThomasConnect with GarthEnjoyed 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.

Metadata isn’t just a buzzword; it's the foundation for driving business value and fostering a data-driven culture. Tanja Glisin, Data Governance Office Manager at TELUS, joins Collibra’s Keren Corely, Director of Go-to-Market Digital Programs, on location at DC 24 in Orlando, to discuss the transformative power of metadata management.Now five years strong, TELUS's metadata management program is designed to empower the organization by enabling business units to efficiently manage, govern and leverage data assets. Tanja shares insights into the program's mission to democratize data, the importance of stakeholder management and the role of continuous improvement in maintaining program success. She also emphasizes the significance of building a metadata repository to achieve critical mass and the strategic use of metadata to create valuable data products that drive innovation and efficiency across the organization.Three reasons you should listen to this episode:1. Empowering Data Democratization. Hear how transforming data (by making it accessible and usable across the organization) can break down silos and foster a data-driven culture.2. Strategic Metadata Management. Gain valuable insights into TELUS's approach to building and managing a comprehensive metadata repository, enabling efficient data governance and the creation of high-value data products.3. Continuous Improvement and Stakeholder Management. Learn about the importance of continuous improvement, stakeholder engagement, and risk management in driving the success of a metadata management program and how these practices can be applied to your own data initiatives.ResourcesConnect with KerenConnect with TanjaEnjoyed 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.

Over the past two decades, data has become critical to nearly every industry. In the realm of healthcare, it's a game-changer. Anthony Macaione, Data Governance Manager, and Craig Hunter, Solutions Analyst, reveal how MemorialCare's cutting-edge data governance practices are revolutionizing patient outcomes and streamlining operations.MemorialCare's mission focuses on improving the health and well-being of individuals and communities by leveraging trusted data. As Anthony and Craig shed light on the organization’s data governance journey, they reveal the challenges of making data accessible and useful across the board. From the integration of data governance with business processes to the measurable success seen in increased data utilization and streamlined operations, this live DC 24 session underscores the importance of transparency, role-specific data access, and continuous improvement in healthcare data management. Three reasons you should listen to this episode:1. Transforming patient care with data. Discover how MemorialCare leverages data governance to improve patient outcomes and enhance operational efficiency in a healthcare setting.2. Real-world implementation. Gain insights into the practical steps MemorialCare took to build a comprehensive report catalog, integrating data governance with business processes to make data more accessible and useful.3. Driving operational efficiency. Learn about the importance of transparency, role-specific data access, and continuous improvement in driving the success of healthcare data management programs.ResourcesConnect with ThomasConnect with AnthonyConnect with CraigEnjoyed 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.

Data isn't just the new oil; it's the engine driving transformation. Listen as Northern Trust’s Adrienne Kiessel, Head of Enterprise Data Governance and Subbaiah Maneyapanda, Senior VP of Enterprise Data Management & Analysis break down how their organization’s data strategy is revolutionizing its approach to data governance and management.Of course, achieving such significant strides in data governance isn’t easy. But by treating data as a valuable asset and continuously fostering a proactive, collaborative culture, Northern Trust has shifted away from siloed operations to embrace a truly cohesive strategy; one that includes the use of data management tools, like Collibra. Recorded live at DC 24 in Orlando, this session is a rare glimpse at how to empower practitioners within your organization to begin leveraging data for innovation and informed decision-making.Three reasons you should listen to this episode:1. Proactive Data Culture. Learn how Northern Trust is moving from reactive to proactive data management, breaking down silos and fostering a culture where data is treated as a core asset across the organization.2. Strategic Integration. Discover the strategic integration of data governance tools like Collibra, which enhances data quality and consistency, supporting regulatory compliance and business innovation.3. Empowering Practitioners. Understand the comprehensive approach to empowering thousands of data practitioners through education, support, and a centralized governance model, driving meaningful and actionable insights.ResourcesConnect with ThomasConnect with AdrienneConnect with SubbaiahEnjoyed 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.

How does a major player in the housing finance industry leverage data to drive business value and support its mission? Listen to find out as Chief Data Citizen, Stijn Christaens, chats with Freddie Mac’s VP & Chief Data Officer, Arvind Jagannathan, and Director of Data Analytics, Vikram Chopra, to uncover the sophisticated data strategies that power the mortgage leader's operations.Freddie Mac’s journey of modernizing its data ecosystem and steering clear of the data swamp highlights their innovative approach and dedication to effective data governance. As we examine their offensive and defensive strategies, we see how advanced analytics and AI help to transform operations and enhance decision-making in an incredibly regulated industry. Recorded live at DC 24 in Orlando, this deep dive into the practical applications of data is an amazing look at the intersection of data management, governance and business strategy.Three reasons you should listen to this episode:1. Modernizing Data Ecosystems. Learn how Freddie Mac transitioned from legacy systems to a modern data infrastructure, ensuring data quality and compliance while driving business value.2. Offensive and Defensive Strategies. Understand the balance between offensive and defensive data strategies, including data consumer registration and advanced analytics to support business objectives.3. AI Integration. Discover how Freddie Mac is leveraging AI to improve their data processes and decision-making, setting the stage for future innovations in the housing finance industry.ResourcesConnect with StijnConnect with JagConnect with VikramEnjoyed 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.

When a pioneer of connectivity solutions decides to revamp its data governance, the results can be transformative. Join Thomas for a chat with TE Connectivity’s Lead Data Governance Specialist, Jacqueline Paneque, and Senior Data Governance Specialist, Brett Larson. Together, they reveal the innovative data strategies that drive TE Connectivity’s success across multiple sectors.Recorded live at the Collibra Data Citizens event in Orlando, this episode delves into TE Connectivity’s journey from a fragmented data governance approach to a cohesive, federated model that enhances collaboration and efficiency. Discover how TE Connectivity uses data to solve business problems, improve decision-making, and foster innovation in a complex, multi-industry environment.Three reasons you should listen to this episode:1. Real-world Transformation. Hear firsthand how TE Connectivity transitioned from a fragmented data governance model to a streamlined, federated system that integrates business and technical perspectives, providing tangible improvements in data management.2. Strategic Insights. Gain valuable insights into the specific strategies TE Connectivity employs to drive adoption of data governance practices, including the creation of a business glossary and innovative approaches to maintaining data quality across diverse business units.3. Innovative Applications. Discover the practical applications of TE Connectivity’s data strategies, including how they leverage data to solve real business problems, enhance decision-making processes, and drive innovation in the connectivity solutions sector.ResourcesConnect with ThomasConnect with Jacqueline P.Connect with BrettEnjoyed 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.

What’s the secret sauce behind McDonald’s ability to stay ahead in the fast-food industry? John Tucker, Director of Enterprise Data Governance, unveils how McDonald’s uses data to not only enhance customer experience but also streamline crew operations with cutting-edge AI applications.From personalizing customer interactions to implementing AI-driven tools that support crew efficiency, John reveals how McDonald’s leverages data to maintain its competitive edge. And his many insights on the company’s innovative data strategies only reinforce the role of data governance in ensuring quality and consistency across all industries. Recorded live at DC 24 in Orlando, this conversation is a must-listen for anyone interested in the practicalities of data-driven transformation in a global enterprise.Three reasons you should listen to this episode:1. Practical AI Applications. John shares how McDonald's uses AI to streamline crew tasks, such as using chatbots to provide instant answers, which enhances efficiency and reduces manual work.2. Comprehensive Data Governance. Learn about the innovative structure of McDonald's data governance team, including roles like data librarian and change adoption manager, and how this approach ensures data quality and consistency.3. Building the Plane. Discover how McDonald's Project Runway is driving data standardization and operational improvements, making data more accessible and meaningful across the organization.ResourcesConnect with ThomasConnect with JohnEnjoyed 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.

What's the point of creating value with your data if you never cash it in? This week, Barb Wixom, Principal Research Scientist at MIT Sloan's Center for IS Research, takes us through the critical but oft neglected journey of turning data into definitive financial gains.In peeling back the layers inherent to the value creation process, Barb insists that the leap from data to dollars must involve more than simply generating insights; it requires a strategic pivot towards value realization. With the IWS (Improve, Wrap, Sell) framework, we’ll help demystify the process, and show you exactly how operational enhancements and product advancements can be carefully leveraged to achieve financial outcomes. It’s a comprehensive look at the practicalities of converting data into tangible value; a must-listen for anyone looking to navigate the complexities of data monetization effectively.Three reasons you should listen to this episode:1. Value Creation to Realization. Barb breaks down the critical steps from value creation to value realization in data monetization, highlighting a commonly overlooked phase that is crucial for translating data benefits into financial returns.2. The IWS Framework. A simple yet powerful tool for organizations to strategize their data monetization efforts, providing a clear pathway from operational improvements to selling information-based solutions.3. Sustainability and Data Monetization. For any effort to be viable long-term, it must not only generate social or operational benefits but also secure financial returns, thereby ensuring the initiative's economic feasibility over time.ResourcesConnect with JayConnect with BarbTake her survey for her data monetization study Enjoyed 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.

Is data the Coast Guard’s compass to new horizons? This week, Toan Do, Area Vice President of Federal Sales at Collibra, invites Capt. Brian Erickson, Chief Data and Artificial Intelligence Officer at the United States Coast Guard, to shed some light on the Coast Guard's transformative journey from traditional navigation to data-driven decision-making, illustrating how data is becoming the compass guiding the organization's mission and operations.Amid the challenges of implementing data analytics and AI within the Coast Guard, Capt. Erickson has come to recognize the value of starting small, focusing on high-priority use cases, and fostering a data-literate workforce. His personal transition from a career aviator to leading the Coast Guard's first data office is a perfect parallel to the evolving role of data as a strategic asset in enhancing mission effectiveness. And as if that’s not already a shining example of leadership in data, Capt. Erickson is now preparing to pass on this newfound passion to his successor, setting the stage for a bright future of enthusiastically data-literate military personnel.Three reasons you should listen to this episode:Unique perspective on data's role. Capt. Erickson’s journey from a career aviator to leading the Coast Guard's first data office highlights how data can be leveraged as a strategic asset in a multifaceted organization.Practical insights on data implementation.  When approaching the integration of data analytics and AI, starting with small initiatives and developing a workforce that is proficient in data literacy yields big results.Strategic approach to data management. Order and efficiency are clearly a necessity in data management, as is incremental growth and easy wins to build confidence.ResourcesConnect with ToanConnect with Capt. EricksonEnjoyed 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.

We all know that every bit of an organization’s data ought to be treated equal, right?  Well, in a world where clean data is often the status quo, Julie Fawdington, Senior Director PMO at Hewlett Packard Enterprises, invites us to ask the question, how clean is clean enough?Drawing on her extensive experience in data transformation, Julie’s take on data quality suggests the need for data quality differentiation. As she puts it, the stuff in her pet’s water bowl isn’t the same as what’s in her water bottle. But does this idea that not all data requires the same level of cleanliness really upend conventional wisdom? Or does it simply provide a more nuanced understanding of how to efficiently manage data in today's fast-paced business environment?Three reasons you should listen to this episode:1. Redefining data standards. Discover Julie's unique approach to data quality and how it can revolutionize your data management practices.2. Empowering data stewards. Examine the role of data custodians and stewards in driving business processes and effectively managing data quality and governance.3. Leadership's role in data management. Learn practical steps for how leaders can promote data quality and management within their organizations.ResourcesConnect with Julie 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.

It's no secret that AI has seen massive success in FinTech, but what hidden forces are driving this success, and how do they transform raw data into global opportunities? This week, guest host Stijn Christiaens invites Peep Küngas, Data Architect at Monese to decode the intricacies of data quality management and its profound impact on the tech landscape, offering fresh insights into this crucial yet often overlooked backbone of AI innovation.How do the smallest details in data curation fuel major breakthroughs in AI-driven solutions? And what unseen challenges do data architects grapple with in their mission for impeccable data? Listen as Peep and Stijn peel back the layers of data quality management to reveal the critical role of precision and insight in shaping the future of FinTech and our next technological leap forward.Three reasons you should listen to this episode:1. The foundation of AI success. Understand the integral role of data quality management in enhancing AI's performance in the FinTech industry.2. Navigating data complexities. Examine the challenges, strategies, and rigorous process behind ensuring impeccable data quality.3. Data quality as a discipline. Find out what fitness routines teach us about the continuous effort and collaboration required to maintain and improve the backbone of digital innovation.ResourcesConnect with Peep 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 digital realm's new currency is data, yet its value is often as enigmatic as it is critical. Sanjeev Mohan, Principal of SanjMo and former Gartner analyst, decodes the complexities of data valuation, advocating for a product-oriented view that frames data's utility and impact within an organization. The prerequisites for defining a 'data product'—from maintaining stringent quality and availability standards via Service Level Agreements to managing its lifecycle for enduring relevance— bring into focus the role of the data product manager. This role is vital to ensuring continuous enhancement and overseeing the retirement of data products; a job that guarantees these products remain a driving force for organizational value.In the pursuit of measurable benefits, treating data with the rigor of product management emerges as a beacon for Chief Data Officers, offering concrete metrics through the creation and utilization rates of data products, and providing a clear gauge for the pace and quality of innovation in data work.Three reasons you should listen to this episode:1. Data Product Insights. Grasp the value of data work as Sanjeev Mohan breaks down the essence of data products and their role in shaping business strategies.2. Data Observability. Learn about the critical nature of data observability and quality, and why these factors are non-negotiable in the pursuit of high-caliber data standards.3. Industry Foresight. Gain perspective on the current and future trends of data analytics as seen through the lens of an industry veteran.ResourcesConnect with Sanjeev on LinkedInAnd for a deeper understanding of data products, check out Sanjeev’s book, "Data Products for Dummies".Enjoyed 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.

Becoming "data driven" transcends mere technical implementations—it’s an organizational culture rooted in deliberate mindsets and collaborative strategies. Nico Huybrechts, CEO at Datashift, elucidates this concept, sharing from a wellspring of expertise on fostering a data-centric culture that's embedded in an organization's DNA.While expounding on the notion of 'data-preneur tiger teams,' which hints at a daring approach to tackling challenges in the data realm, Nico's mantra, "achieve impact together," resounds as a call for deep organizational collaboration on strategy, emphasizing that there's no separate data strategy from the business strategy. This approach, enriched with deep listening skills and meaningful cross-organizational connections, not only aligns teams but embeds a data-driven ethos within the organizational fabric, paving the way for sustained success.Three reasons you should listen to this episode:1. Unlock the roadmap to becoming a data-driven entity. Nico Huybrechts shares actionable insights on blending technical and human elements to foster a data-centric culture, a crucial step for leaders aiming to leverage data for enhanced business outcomes.2. Learn practical strategies to enhance business agility. Delve into strategic alignment, the concept of data-preneur tiger teams, and the transition from creative to running mode for data projects to tackle common challenges in data strategy execution.3. Gain a holistic understanding of embedding a data-driven ethos. Explore the importance of deep listening. organizational collaboration, and meaningful cross-organizational connections to get a well-rounded perspective on truly becoming data-driven.ResourcesConnect with Nico 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.

A seismic shift is underway at Booking.com as the travel giant embarks on an ambitious cloud migration and data transformation journey. In this episode, Milo Milovanovic, Senior Director of Big Data Technologies, offers an insider's look at how they are reshaping their data analytics and machine learning platforms to accelerate innovation. By transitioning to the cloud and establishing robust data governance, Booking.com aims to unlock the full potential of their data. Milo explains how improved data quality, access controls, and lineage tracking enable analysts to spend less time prepping data and more time unlocking actionable insights. The end goal is simple: leverage technology to deliver unparalleled customer experiences… and trust in data to drive vital insights for the organization.Three reasons you should listen to this episode:1. Learn how data governance and quality unlocks innovation in the cloud. Milo provides an invaluable perspective into how Booking.com is streamlining their data analytics and machine learning platforms. By focusing on governance, access controls, and data transparency, they empower analysts to spend less time prepping data and more time generating impactful insights.2. Discover how to accelerate your analysts’ productivity. Booking.com aims to reduce the time analysts spend cleansing data and increase the time they spend on value-add analysis. Milo explains how robust data governance and cloud migration helps them achieve this goal.3. Gain insider tips on executing major cloud transformations. Milo offers an insider’s view of the real-world complexities involved in migrating analytics and ML platforms to the cloud. Tune in for wisdom on change management, delivering quick wins, and getting organizational buy-in.ResourcesConnect with Milo 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.

If the rise of Chief Data Officers (CDOs) within the public sector is any indication, we’re currently witnessing a paradigm shift towards making data a fundamental cornerstone of government operations. What’s more, as these agencies increasingly prioritize data, legislative acts like the Foundations of Evidence-Based Policymaking Act and the Open Data Act further underline the shift. In the quest for actionable insights from data, Adita Karkera, CDO at Deloitte Goverment, dives deep into the "so what" of data to spotlight the significance of ethically grounded AI, transparency in its applications, and the imperative for diversity in data teams. Tracing her journey from a database analyst to a pivotal, business-centric role, Adita underscores the essence of aligning data strategies with broader mission objectives. It's not just about collecting and analyzing data; it's about understanding its broader implications, the story it tells, and the impact it has on the people it serves.Three reasons you should listen to this episode:1. CDOs in the Public Sector: Understand the burgeoning role and significance of Chief Data Officers in governmental operations.2. The Universality of Data Literacy: Explore the significance of data literacy across organizations, how it's more than just for technical roles, and why CDOs are emphasizing its importance in developing a solid data culture and strategy for better outcomes.3. Ethics and Diversity in AI: Delve into the responsibilities of using AI in the public sector and the vital role of diversity, especially women, in the decision-making processes of data-driven solutions.ResourcesConnect with Adita 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.

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.