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Join Collibra as we unite listeners around the importance of data and unpack its impact on the world. We sit down with customers, partners and thought leaders to discuss some of the hottest topics in the industry — from AI governance to the importance of data sharing to how to ensure data reliability and beyond. Welcome to The Data Citizens Dialogues.
The podcast Data Citizens Dialogues is created by Collibra. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).
The team is taking a quick break but we’ll be back in 2025 with even more insights, stories, and inspiration from data leaders around the world.
In the meantime, catch up on any episodes you may have missed, and don’t forget to follow the show so you’ll be the first to know when we’re back. We’ll see you in 2025!
Empowering teams with data is essential for any organization aiming to drive better decision-making. This week, Chief Data Citizen, Stijn Christiaens connects with Ruben Missinne, Data Analytics Officer at Colruyt Group, to break down how the company built a “data marketplace” to support decentralized access, enabling employees across departments to leverage data effectively and independently.
Whether fostering data craftsmanship and trust through hands-on learning opportunities like hackathons and collaborative coaching, or by decentralizing data access and prioritizing transparency, Colruyt has built a culture where data is trusted and actionable. Leaders looking to transform their own data strategy will find valuable insights in their approach to making data an integral part of daily operations.
Three reasons you should listen to this episode:
1. Empower teams through decentralized data access. Discover how Colruyt’s “data marketplace” model enables employees across the organization to use data independently, driving more effective, data-informed decision-making.
2. Strengthen data culture with practical, hands-on learning. Ruben shares Colruyt’s approach to data literacy through hackathons and collaborative coaching, making data skills accessible to everyone.
3. How transparency and trust enhance data use. Explore how Colruyt builds trust in its data through transparency and open access, ensuring that data is both reliable and integral to daily operations.
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How are law firms embracing the power of data while navigating the unique challenges that set them apart from other industries? Jordan Galvin, the first data governance manager at Perkins Coie, reveals how legal organizations can transform their approach to data, tackling compliance, privacy, and risk management in a traditionally non-technical environment.
From improving data quality to bridging the gap between legal expertise and data-driven decision-making, Jordan shares practical strategies that bring data governance to life. She also highlights the importance of fostering collaboration across departments to build a more data-driven culture. This conversation offers valuable insights for leaders looking to elevate their data governance practices within the legal landscape.
Three reasons you should listen to this episode:
1. How law firms harness the power of data. Discover how the legal industry is adapting to data governance, tackling challenges like compliance, privacy, and risk management while staying ahead in a rapidly evolving field.
2. Practical strategies for bridging gaps. Actionable insights on improving collaboration between traditionally separate legal and data departments to create a more data-driven culture.
3. Non-technical industries embracing data governance. Valuable lessons on how organizations with little technical background, like law firms, can implement effective data governance practices and turn data into a strategic asset.
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A shared understanding of data across teams might be one of the most critical tools for driving better business outcomes. Just ask Nicola Askham, the Data Governance Coach, who's full of practical advice on creating clarity around data definitions, improving collaboration and making data sharing more reliable within organizations.
Miscommunication and inconsistent data definitions can easily lead to inefficiencies and mistakes. Nicola shares practical strategies for using data glossaries and catalogs to align teams, ensuring everyone is on the same page and working with accurate, trusted information. This conversation offers actionable insights for data governance leaders looking to enhance data culture and governance practices through a unified language.
Three reasons you should listen to this episode:
1. Create clarity around your data. Learn how establishing a common language through data glossaries and catalogs can reduce miscommunication and ensure your teams work with accurate, consistent data.
2. Boost collaboration across departments. Discover practical ways to improve data sharing and alignment between teams, leading to better decision-making and fewer errors.
3. Strengthen your data governance strategy. Gain insights into how a shared understanding of data can enhance your organization’s data culture and governance practices, making data more reliable and easier to manage.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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:
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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.
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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.
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In the intricate world of financial data governance, Dennis van de Graaf, VP of Data Governance at WinTrust Financial, highlights a crucial component: the definition and empowerment of data owners. His insight reveals how assigning clear ownership of data sets within an organization is fundamental to ensuring data accuracy, security, and compliance.
Dennis's approach underscores the role of data owners as stewards of data quality and guardians of data access and security, particularly in the heavily regulated financial industry. His discussion not only delves into the practical aspects of establishing data owners but also into their strategic importance in aligning data usage with organizational goals. This concise exploration into the responsibilities and impact of data owners offers valuable guidance for anyone looking to enhance data governance practices in their organization.
Three reasons you should listen to this episode:
1. The importance of data ownership. Why defining data owners is crucial in data governance, especially in the financial sector.
2. Insights into data stewardship.The responsibilities and strategic impact of data owners on data quality, security, and compliance.
3. Best practices in your organization. Practical knowledge on how to effectively establish and support data owners, enhancing your organization's data governance framework.
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At the intersection of data and education, transformative initiatives are shaping the future of higher education institutions. Alice Fleck, Enterprise Data Governance Manager at the University of North Carolina at Greensboro (UNCG), brings to light the critical role of data governance in academic settings.
The significant impact of well-structured data governance committees, which are integral to managing extensive data landscapes, ensure that data-driven decisions enhance student outcomes and institutional performance. With a focus on metadata, classification, and organization, the methodology of integrating library and information science principles into data governance provides a fresh perspective on managing and extracting value from data assets. As the data landscape evolves, these insights underscore the importance of innovative data governance strategies in shaping the future of higher education and beyond.
Three reasons you should listen to this episode:
1. Data governance in academia. Learn how UNCG's innovative data governance strategies are transforming higher education.
2. Enhancing student outcomes. Discover the role of data in improving student performance and graduation rates.
3. Broad applications of data. Gain insights into the diverse impact of data governance across various sectors.
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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.
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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.
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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.
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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.
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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.
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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.
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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:
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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:
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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:
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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.
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.
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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.
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Can data governance programs evolve to provide even greater value from our data? That's the question we tackle with our insightful guest, Raluca Alexandru, an analyst at Forrester. We talk about the key components of a data governance program, such as people, process, and technology, as well as the critical role that data catalogs and business glossaries play in mapping out data assets, structuring them in an easily digestible way, and connecting them to business goals and objectives.
The episode also delves into the need to create connected intelligence by combining data governance with AI governance programs. We discuss the potential risks of generative AI and how existing data governance frameworks can help manage those risks while creating value. We also take a closer look at the ethical and legal implications of AI programs and why AI governance is essential in reducing bias and adhering to policies and regulations. Moreover, we explore the importance of setting measurable metrics to assess the success of data governance programs, and how an intelligent federated approach can maximize their value. Don't miss this thought-provoking conversation with Raluca Alexandru that covers the future of data governance and intelligence solutions!
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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.
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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.
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].”
Heather: “All of my team have some experience and have seen the [worst of implementations]. I think a lot of that comes to guidance from maybe consulting firms that are not close enough to it or don’t understand the company culture.”
Peter: “There’s no one size that fits all. Every industry can implement Collibra in a different way.”
Heather Wentworth is the chief data officer at Accelerant Holdings, where she is in charge of the company’s data strategy and the design and implementation of data intelligence. Her team’s dedication to providing customer-facing solutions that reinvent the insurance experience earned them the Collibra Acceleration All-Star award.
Follow Heather on LinkedIn.
David Mitchell is the senior director of engineering at Cox Automotive. His company's program was named Collibra's Program of the Year. With excellent engineering teams, David builds and operates the cloud-native Enterprise Data Platform, Enterprise Data Marketplace, and ModelOps platform.
Follow David on LinkedIn.
Peter Vennel is the enterprise data strategy and execution executive of Equifax. He assists organizations in monetizing data as an asset. Peter has worked with multiple C-suite executives and external partners on Strategic and Tactical Data Management and Governance initiatives. He was named Collibra Ranger of the Year.
Follow Peter on LinkedIn and Twitter.
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This episode will inform you on how organizations can effectively implement data ethics and the importance of upholding your customer’s privacy when using their data.
Have any questions? You can connect with our host, Jay Militscher on LinkedIn.
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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.
Ryan: “I always say push versus pull. It's a journey. You have to start there.”
[04:13] Digital Asset Governance and Data Governance
Joe: “Fish with a smaller fish to get a bigger fish.”
[07:16] Data, Water, and Cake
Joe: “The groundwork is there. But I think there's just gonna be more and more and more and more data.”
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."
Joe 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 implementing several successful governance models for major organizations. Joe is a recognized expert in the area of digital asset governance.
Ryan Galloway is the senior vice president of Enterprise Data Management Tools at Moody's Corporation. He is a thought leader in data management and instrumental in helping Moody's Corporation implement some of the most cutting-edge data management technologies worldwide. Follow Ryan on LinkedIn.
If you did, be sure to follow, post a review and share it with others.
This episode will inform you on how organizations can effectively implement data ethics and the importance of upholding your customer’s privacy when using their data.
Have any questions? You can connect with our host, Jay Militscher on LinkedIn.
Thanks for tuning in! For more updates, please visit our website. You may also tune in on Apple Podcasts or Spotify.
Data can drive game-changing business decisions, but inconsistent data can do the opposite. The world of data has come a long way, but we still see businesses with problematic data reporting, which leads to their eventual downfall. The more we use data, the more we need to see it as both an asset and a responsibility.
In this episode, our host, Jay Militscher, invites Stijn Christiaens, Collibra's very own Chief Data Citizen, to explore the topic of data citizenship and what it means for companies and data professionals. They will dive into what it means to be a data citizen and how to be intentional about data usage. Stijn also shares Collibra's growth over the years and showcases the importance of continuous improvement as data citizens. They also discuss the upcoming Data Citizen Conference and what it means to thrive with data.
By listening to the episode, you will:
Want to know more about how to be a better data citizen? Tune in to discover the what, how, and why of being a data citizen.
AI is no longer for data scientists only. Most businesses have made AI tools part of their workflow. For example, we’ve seen chatbots, automated emails, and the like. As we embrace artificial intelligence, we have to discuss it. What is AI? What is it not? Should we use it for everything?
In this episode, Sarah Hoffman, VP of AI and Machine Learning Research in Fidelity Investments, defines AI and its impact on our lives. She also describes the ethical challenges of data bias and what people are doing to overcome it. Finally, Sarah explains why diversity and prejudice are significant concerns in AI development.
Tune in to this episode to learn how AI pushes for innovation.
Sarah: "We invest deeply in technology. But we've also always recognized that technology is just a tool. It's really how we apply it that matters."
Sarah: “AI tools are showing us the AI bias. Maybe we can start thinking about it for ourselves and think about 'Do we have this bias?' And I think that's another way that AI could help us be more inclusive."
Jay: “[AI] is democratizing because it brings people into the tech. It's inspiring people–young people. Maybe folks that wouldn't otherwise be taught are encouraged to pursue these things. It's so promising for STEM education opportunities, and it'll be fun to watch as it evolves.”
Sarah Hoffman is the Vice President for AI and Machine Learning Research at Fidelity Investments for over four years. Her research foci include the future of AI, enabling data-driven enterprises, the future of work, and digital ethics. She started as an Information Technology Analyst and gradually built her way into AI and Machine Learning over the past years. Sarah is passionate about enhancing AI to democratize innovation and creativity for everyone.
If you want to reach out, contact Sarah via LinkedIn or Twitter.
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Data analysis, data science, and machine learning. The boundaries between these three may not be apparent, but these fields are related and interconnected. So it’s possible to start a career in one and dabble with another. Data has made it easy to connect and acquire information. However, we must be vigilant in upholding privacy.
In this episode, Gretel De Paepe, senior data scientist at Collibra, shares what she’s learned in her data career. She tackles the importance of data in our lives and its incredible value — in the present and the future. Lastly, she tackles myths on artificial intelligence and machine learning.
Tune in to the episode to learn how to handle data correctly.
Gretel: “Usually when I start with a project, there's not much information yet. It's sort of, “Oh, we may wanna do something in this area. But we don't really know yet what it is.” And so, the whole exploration phase of trying to identify what it is that we could do, what techniques we could use. And compare them, just try them out and compare them. It's a creative process.”
Gretel: “If you have a bias in your data, you will have a bias in your model. So your model is indeed only as good as the data that you train it on.”
Gretel: “Machine learning is a little greedy beast. It needs a lot of food. It needs lots of data. It's very data hungry. A little hungry, little thing. And how do you marry that? How do you combine that with also the increasing emphasis on privacy?”
Jay: “What's often really interesting about data is finding common things, patterns, clusters of information. Those patterns help to answer questions, make decisions, make predictions, and even recommendations.”
Gretel De Paepe has been working as a Senior Data Scientist at Collibra for three years. She has amassed an experience of over 20 years in data. She started as a data analyst, turned into a data scientist then delved into machine learning for the past six years. Gretel considers herself a data addict who loves anything to do with data.
If you want to reach out, you can contact Gretel via LinkedIn.
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Post a review and share it! If you enjoyed tuning in, then leave us a review. You can also share this episode with your friends and colleagues. This episode will help them understand the ESG perspective.
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The topic of sustainability has undoubtedly gained massive traction and momentum across industries over the past years. According to Martin Weirich, ESG is more than a buzzword and a PR trick — businesses have realized the beneficial impacts of sustainable models. From this, the term ESG or Environmental, Social, and Governance has emerged — and it's here to stay in the hopes of a better future for the world.
In this episode, Martin Weirich, Partner Financial Services Management Consulting at PwC, discusses the basics of ESG. Martin delves into the regulatory aspect of ESG and how it can help make the world a better place. He talks about shifting the perspective and the future trajectory of ESG regulations. He also shares the most significant challenges companies face and how to navigate them.
Tune in to the episode to understand how ESG is changing the ways of companies and the world's future.
Martin: "I think the dimension has a prompt. It's not only doing a tick box exercise from a regulatory perspective but also thinking out 'How can my products and my services help contribute to the overarching goals that we have all set?'"
Martin: “The diversity element is just one element that’s really helping to spark discussions and to get corporations and leaders thinking what you can really do differently to contribute to the overarching goals.”
Martin: “The market is still maturing, but we are not there yet where we need to be.”
Martin Weirich is a Partner in Financial Services Management Consulting at PwC. His role is to help asset managers and banks transform toward sustainable finance. He is also responsible for helping his team implement the EU Action Plan and adapting business and operating models based on new ESG products and regulatory requirements.
If you want to reach out, can contact Martin Weirich via LinkedIn.
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The issues our society face today are increasingly complex and urgent. The rise of technology and the impact of the pandemic has put the spotlight on our growing social and environmental crises. But these crises are an opportunity for companies to rise up and show their worth. Now more than ever, companies are called to shift their solutions and initiatives in a way that will positively impact society at large by engaging in collaborative and holistic solutions. This way, they foster a more responsible corporate environment and create a sustainable future for all.
In this episode, Melissa Mavlanova-August, the Global Head of Equity and Impact at Collibra, discusses the link between ESG and DEI. Melissa shares the initiatives and programs Collibra organizes to promote social and environmental awareness across the company. She also discusses the work involved in ESG and DEI career paths and the importance of storytelling in sustainable change management.
Tune in to the episode to understand the impact incorporating ESG and DEI can have for creating sustainable and ethical companies.
Melissa: “A lot of people see these disciplines as the ‘soft side of business’ or they're nice to have, and it's really not like that. It's a very rigorous discipline. It requires a lot of perseverance and a smile to make sure that things move forward.”
Melissa: “I think the whole world has kind of got to a stage where it realizes that in order to do sustainable business, you have to make sure you are doing business sustainably. And how can you make sure you're doing business sustainably? Well, you need to make sure that you are thinking about your environmental footprint, your impact on people and the communities you serve, and that you are also making sure you've got a critical business model in place, a resilient business model, which can ensure that you can stand the test of time.”
Melissa: “If people expect us to change the world tomorrow or to get rid of the environmental crisis tomorrow, then that's gonna be very disappointing when we don't do that. But if they see that we are going to take these 10 steps in the next six months, and it's gonna get us to X, Y, Z, then they're motivated. And so that's why storytelling and messaging is so important for me.”
Melissa Mavlanova-August is the Global Head of Equity and Impact at Collibra. She oversees the company's environmental social governance (ESG) and diversity equity inclusion (DEI). In line with this, she leads Collibra's global team in developing the company's internal ESG roadmap. Melissa's vision is to create sustainable and equitable products and help customers use data to change the world.
If you want to reach out, you can contact Melissa Mavlanova-August via LinkedIn.
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Over the years, we’ve seen technology grow and how companies use the power of data to drive decision-making. However, we may be gathering more data than we can handle. Some companies may observe inconsistencies among data reports, leading to arguments and a lot of time wasted. This is where data governance comes in.
In this episode, Joseph Wallace, Senior Manager of Data Governance at Adobe, joins us to talk about the importance of data governance, like how it can deter arguments around inconsistent data and improves business processes. He shares how data governance works, and how Adobe has a vision to make trusted data discoverable. He also shares what he believes is the future of data governance and how we must look at data like how we consume water.
Tune in to the episode to dive deeper into data governance.
Joe: We've spent 20, 25 years saying ‘data, data, data, gimme the data. I want to analyze the data. We're gonna drive with data. We're gonna do things with data.’ And now we're here with mountains of data and we have no clue what to do with it. We have no real knowledge of where it is and how to use it. What's the most efficient and effective way of using it? That's the real value proposition of data governance. It's protecting it. It's making it searchable. It's helping people use it in the right ways at the right times for the right purpose.
Joe: “You can't govern it if you don't know it's there. As we build out that catalog and as people add more things, then we can actually truly begin to put the govern in governance.”
Joe: “Data should be the same. It should be clean. You shouldn't have to worry about it. You shouldn't have to think about 25 different angles of questions or concerns that you have with it. You just consume it. And that is a really important component of what data governance can provide. It's clean water, clean data.”
Joseph, or Joe, Wallace is the senior manager of data governance at Adobe and has worked in the company for over 12 years. His specialties include financial analysis, corporate finance, auditing, leadership, and much more!
Joe graduated from Indiana University Robert H. Mckinney School of Law, then worked for an NGO and became an intern at the Federal Bureau of Investigation. He believes all these experiences shape how he sees data governance.
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Post a review and share it! If you enjoyed tuning in, then leave us a review. You can also share this with your friends and family. This episode will inform them of the importance of data ethics and becoming aware of unconscious bias when dealing with data.
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As companies grow and their market expands, their systems and processes become more complex. Managing data assets can be overwhelming without proper knowledge, organization, and mastery. This is where the concept of a data office comes in handy. In a time when data is more valuable than ever, it is imperative that a company understands how to make it work for them.
It might be time for you to consider forming a data office within your company, particularly if your company: is in a position of rapid growth, onboards employees daily, is expanding their market, and/or deals with systems and processes that may be out of date.
In this episode, Stijn Christiaens, Founder and Chief Data Citizen at Collibra, joins us to discuss the importance of handling data and starting a data office. He explains what inspired him to begin creating the data office within Collibra, and how this concept may pave the way for future companies.
Tune in to the episode to further understand how to build a data office for your business.
Jay Militscher: “It meant to me that data and facts inform whatever point you’re making at the moment. Are you making a recommendation to buy something? Where’s the chart? Meaning data, to back up that decision. Are you delivering a critique on something? Again, where’s the data to back up an otherwise subjective opinion.”
Stijn Christiaens: “And, in that sense, we also said, okay, if we set up a data office now because we need it, right? Because systems and processes will also have the added benefits if we do this right to continue to lead our customers. And then you start to experience, really, also what some of your customers experience, right?”
Stijn Christiaens: “All organizations, over time, we need to get better at mastering data assets. So all organizations, just like they have a chief financial officer. They will have a data boss or somebody responsible for data and maybe a data office just like their finance and HR, let’s say. So, we saw a trend, and then we said, okay, we can actually do this.”
Stijn Christiaens is the co-founder and current chief data officer at Collibra. He’s been involved with the company for 15 years and spearheaded the creation of the data office for Collibra.
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Post a review and share it! If you enjoyed tuning in, then leave us a review. You can also share this with your friends and family. This episode will inform them of the importance of data and building a data office for your company’s future.
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Data is a land mine for growth, and more businesses are realizing the great potential it holds. The value and insights from data have seen a rise in demand within organizations, and with this rise comes the expectation of a rapid turnaround time. However, this poses a significant challenge to central data teams, who handle data management and analytics. This led to the concept of data mesh, a decentralized approach that reduces friction and gives business domains the ability to quickly access and query the data they need.
In this episode, Sonali Bhavsar, Managing Director for Global Data Governance at Accenture, joins us to talk about the four pillars of data mesh. She discusses how companies can start applying data mesh to their workflows. Sonali also shares how Accenture helps its clients achieve data-led transformations.
Tune in to the episode to know more about data mesh, its significance and some tips to apply it to any business.
[07:14] Self-service Data Infrastructure
Sonali: “You really want to support that end data citizen to be flexible to use the data that they want to use it as, versus going through permissioning and asking for that data.”
Sonali: “You want data mesh to be sustainable and operational, and keep data mesh as data mesh and not as a data mess down the road.”
Sonali: “If the data was not good, AI is never going to be your driver, and writing good machine learning algorithms and AI is amalgamation of your machine learning algorithms.”
Sonali Bhavsar is the Managing Director for Global Data Governance for Data and AI at Accenture. She helps enterprises reinvent businesses to be data driven and fully utilize their data with the latest thinking and solutions available for advanced analytics, data management, and data governance.
If you want to reach out, you can contact Sonali via LinkedIn.
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Post a review and share it! If you enjoyed tuning in, then leave us a review. You can also share this with your friends and family. This episode will inform you about the four pillars of data mesh and their importance when bringing data into the marketplace.
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Data mesh is a relatively new concept that aims to reduce friction in maximizing the value of data. It distributes data control to different business domains that have experts in the data relevant to them. A catalog of data products contributes to the data owners' efficiency in curating and analyzing their data for business insights.
In this episode, Luis Romero, the Product Marketing Director at Collibra, talks in-depth about the four pillars of data mesh and how it can empower businesses. Jay Militscher, the Head of Data & Analytics at Collibra, also shares Collibra’s humble beginnings in executing data mesh and how they hope to improve their already robust system.
Tune in to the episode to know about data mesh, its significance, and how to utilize it within your organization.
Luis: “We should instead put that data into the hands of the true data stewards right within these domains.”
Luis: “We got to figure out a way to remove the friction from both the data producers and the consumers, and make it easy for them to go and find that data, bring that data together, understand the quality of the data, and again put it out there in a data marketplace, a data catalog, but again, make it very, very self-service.”
Jay: “We get to use our own product here at Collibra so that when each of those data product owners produce a data product, they're actually publishing it through the Collibra catalog so that each of those analytics folks shop for data products in the Collibra platform from each other.”
Luis Romero is the Product Marketing Director at Collibra. He helps customers get a pulse of the up-and-coming trends in the market and identify their challenges. He also ensures that Collibra is positioning its products and solutions directly in line with its customers' initiatives and business outcomes.
If you want to reach out, you can contact Luis Romero via LinkedIn.
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Post a review and share it! If you enjoyed tuning in, then leave us a review. You can also share this with your friends and family. This episode will help them implement data mesh within their organizations through the lessons learned by Collibra.
Have any questions? You can connect with me on LinkedIn.
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Data ethics may be a relatively new field, but its underlying principles are nothing new. Currently, regulations on data ethics are lacking, but organizations are still making data ethics a priority. Ethical data management is a must in today's data-driven world.
In this episode, Anna Hannem, the director of Data Ethics & Use at Scotiabank, joins us to discuss the importance of data ethics, the best practices to ensure the ethical use of data across your organization, and her insights on the growing field of data ethics.
Tune in to the episode if you want to know how you could integrate data ethics as part of your company’s culture.
[04:48] How Scotiabank Practices Data Ethics
Anna: “But in fact, data isn't black and white, right? It's how we collect it, where we collect it from, and how we're intending to use it.”
[16:56] Developments in Scotiabank’s Data Management and Ethics
Anna: “There are not that many thought leaders yet in this space, and so as regulations are coming, we want to be influencing that, and we want to already be ahead of some of these curves and instilling best practices and learning from them ahead of time so [we know what worked well and what didn’t].”
Jay: “What's the safest way, the best way, the most appropriate way to drive value? And then it becomes an enabling thing as opposed to an obstacle or a barrier to progress.”
Anna Hannem is the director of Data Ethics & Use at Scotiabank. She has been in the field for over ten years with experience in data management, governance, and analytics. She sees data ethics as the intersection of her many passions. She also has a degree in behavioral psychology, which she treats as an asset and influences her decisions in data ethics.
If you want to reach out, feel free to contact Anna via LinkedIn.
If you did, be sure to subscribe and share it with your friends!
Post a review and share it! If you enjoyed tuning in, then leave us a review. You can also share this with your friends and family. This episode will inform them on how organizations can effectively implement data ethics and the importance of upholding your customer’s privacy when using their data.
Have any questions? You can connect with me on LinkedIn.
Thank you for tuning in! For more updates, please visit our website. You may also tune in on Apple Podcasts or Spotify.
As technology grows, we've come to recognize the power of big data: how it influences company policies, consumer choices, and even government decisions. Data should not be just for profit — it should have an ethical and moral basis, which is where the importance of data ethics comes in. If you'd like to know more about data security and its ethical considerations, you're in for a treat this week.
In this episode, Simla Sivanandan, Senior Manager of Data Intelligence at Collibra, joins us to talk about the importance of data ethics and how Collibra upholds data ethics within their organization. She also shares how the real problem is unconscious bias when dealing with machine learning (ML) and artificial intelligence (AI).
Tune in to the episode to dive deeper into data ethics and unconscious bias.
Simla: “You see the power of data, where people are using that to make decisions that affect your life, your life quality, and all of that. So, we, as data professionals, always see the power of data. I think, as data citizens, it's our responsibility to use it ethically [and] wisely.”
Simla: “To me, really, the gold standard is: If I'm working in a bank, am I comfortable banking with them? If I'm working in an insurance company, am I okay to purchase that? That kind of tells me: Am I okay with the way they are treating my data, right? That's where I am that it's not just ML or AI.”
Simla: “Exclusion creates bias, and that might be unconsciously happening because we are not thinking through or we’re not picking a big enough sample set. That's where I'm coming from. So, it's always important as a data professional to be aware of this, right? As I limit my sample set, it can have unintended consequences, and we should address that.”
Simla Sivanandan is the Senior Data Intelligence Manager at Collibra. She's a data management professional with over fifteen years of experience in the field and has worked on data governance, regulatory reporting, business analysis, and technology solutions support.
If you want to reach out, you can contact Simla via LinkedIn.
If you did, be sure to subscribe and share it with your friends!
Post a review and share it! If you enjoyed tuning in, then leave us a review. You can also share this with your friends and family. This episode will inform them of the importance of data ethics and becoming aware of unconscious bias when dealing with data.
Have any questions? You can connect with me on LinkedIn.
Thank you for tuning in! For more updates, please visit our website. You may also tune in on Apple Podcasts or Spotify.
Join Collibra as we unite listeners around the importance of data and unpack its impact on the world. We sit down with customers, partners and thought leaders to discuss some of the hottest topics in the industry — from AI governance to the importance of data sharing to how to ensure data reliability and beyond. Welcome to The Data Citizens Dialogues.
En liten tjänst av I'm With Friends. Finns även på engelska.