Data Citizens Dialogues

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

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

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

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

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

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:Learn about why correct data handling is critical for businesses to thrive in today's world.Discover the meaning and context of data citizenship.Understand the value of different kinds of data literacy skills in an organization.Find out what questions to ask when using data to create and develop products.Pick up insights on how data drives continuous improvement.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.

In this conversation, Sarah Hoffman, Vice President for AI and Machine Learning Research at Fidelity, sheds light on the practical applications of AI in modern business. She breaks down common myths about AI, explaining its mathematical foundation and ethical implications related to data bias. Sarah emphasizes the need for diversity in AI development and how it reflects our societal values. Additionally, she discusses AI's transformative role in enhancing workplace innovation and accessibility through democratized technology.

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.Here are three reasons why you should listen to this episode:Find out what inspired Gretel into pursuing data science.Learn how to appreciate data in making our lives better from both the average user’s and company’s perspective.Go beyond data bias and our misconceptions around artificial intelligence and machine learning.ResourcesConnect with Gretel on LinkedIn.Episode Highlights[01:02] Machine Learning Projects at CollibraCollibra offers many services to their customers.Data classification helps companies classify fields that contain personally identifiable information (PII) data.Asset recommenders give a list of recommendations based on one’s datasets.Similarity detection looks for similar assets to prevent potential duplication and keeps the database clean.[02:42] Defining Data Science, ML and AIData analysts looks at the data to provide a data-driven answer for a business question. Data science deals with statistical modelling.The leap from data science to machine learning (ML) is small because machine learning is one way to model data.ML is simply a tool in the data science toolkit. [04:51] Gretel’s Data JourneyGretel’s progression from data analysis to data science was a natural process.When solving different challenges, you must explore other techniques and build up your portfolio.She invested time and money into learning about machine learning.[10:19] Gretel’s Natural Interest in Data ScienceGretel treats data analysis like a hobby.She easily loses herself in a project because she’s interested in data science.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.”[14:05] How Data Gives Value to ConsumersWe use data in statistics.Data is used often in our daily lives and provides many benefits.[19:24] The Myths and Unnecessary Hype around Data ScienceMarketing for artificial intelligence should focus on the fact that it’s only artificial. A machine’s algorithm is limited by what it’s trained to do.[23:26] Data BiasGretel: “If you have a bias in your data, you will have a bias in your model. So your model is indeed only as...

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.Here are three reasons why you should listen to this episode:Learn the three aspects of ESG.Discover the impact ESG makes on companies and the world at large.Find out Martin's prediction on what the ESG landscape would look like five years from now.ResourcesPwCConnect with Martin on LinkedInConnect with Jay on LinkedInEpisode Highlights[01:19] What is ESG?ESG stands for Environmental, Social, and Governance.The environmental aspect includes concepts around climate, biodiversity, energy consumption.The social aspect concerns equal opportunities, human rights, health and safety, etc.Governance is about determining good governance and dealing with topics from an organizational standpoint.[02:18] The Regulatory AspectThe European side has already committed politically to specific ties they want to achieve as a region by 2030.There’s a new required regulation influencing different sectors to support the political world to reduce greenhouse gas emissions and move toward renewable energy.The regulators began with the financial services sector because it deals with the orientation of capital flows. Achieving the requirements also requires acquiring information (financial and environmental advocacy) from investee companies.These are not only regulations for bureaucracy’s sake but to make the world a better place.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?'"[06:26] More than Just a PR StatementA lot of companies used ESG as a marketing instrument in the beginning. However, these companies soon realized that there's also public transparency enforced by regulators, clients, investors, and associations.

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.Here are three reasons why you should listen to this episode:Learn the meanings of ESG and DEI and the direct link between them.Discover how companies can shift to a sustainable social and environmental focus.Find out how to get into the ESG and DEI career paths.ResourcesCollibraBlueDotBlueDot Public Benefit ReportsTeach FirstAccentureSetting the Table by Danny MeyerConnect with Melissa on LinkedInConnect with Jay on LinkedInEpisode Highlights[01:56] Environmental Social Governance (ESG) and Diversity Equity Inclusion (DEI) at CollibraESG is about ensuring a sustainable business that’s well-protected for the future in terms of its practices and human resources.Before formally starting their ESG efforts, Collibra's DEI-related work had shifted its focus on corporate social responsibility. They realized that there is a direct link between ESG and DEI.Melissa’s team looks after everything — the planet, people, and economy.[03:48] Employee Resource Group (ERG)Many of Colliibra's appetite for environmental, sustainability, and DEI work has come from their employees.Collibra had the environmental community, Planet Collibra Community, before...