Data Citizens Dialogues – Détails, épisodes et analyse

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.

Resources

• Connect with Thomas
• 
  
• Connect with Jordan

Enjoyed this Episode?

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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.

Resources

• Connect with Thomas
• Connect with Nicola

Enjoyed this Episode?

Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.

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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.

Resources

• Connect with Jay
• Connect with Barb
• Take her survey for her data monetization study

Enjoyed this Episode?

Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.

Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

Is data the Coast Guard’s compass to new horizons? This week, Toan Do, Area Vice President of Federal Sales at Collibra, invites Capt. Brian Erickson, Chief Data and Artificial Intelligence Officer at the United States Coast Guard, to shed some light on the Coast Guard's transformative journey from traditional navigation to data-driven decision-making, illustrating how data is becoming the compass guiding the organization's mission and operations.

Amid the challenges of implementing data analytics and AI within the Coast Guard, Capt. Erickson has come to recognize the value of starting small, focusing on high-priority use cases, and fostering a data-literate workforce. His personal transition from a career aviator to leading the Coast Guard's first data office is a perfect parallel to the evolving role of data as a strategic asset in enhancing mission effectiveness. And as if that’s not already a shining example of leadership in data, Capt. Erickson is now preparing to pass on this newfound passion to his successor, setting the stage for a bright future of enthusiastically data-literate military personnel.

Three reasons you should listen to this episode:

1. Unique perspective on data's role. Capt. Erickson’s journey from a career aviator to leading the Coast Guard's first data office highlights how data can be leveraged as a strategic asset in a multifaceted organization.
2. Practical insights on data implementation.  When approaching the integration of data analytics and AI, starting with small initiatives and developing a workforce that is proficient in data literacy yields big results.
3. Strategic approach to data management. Order and efficiency are clearly a necessity in data management, as is incremental growth and easy wins to build confidence.

Resources

• Connect with Toan
• Connect with Capt. Erickson

Enjoyed this Episode?

Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.

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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.

Resources

• Connect with Julie on LinkedIn

Enjoyed this Episode?

Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.

Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

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.

Resources

• Connect with Peep on LinkedIn

Enjoyed this Episode?

Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.

Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

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.

Resources

• Connect with Dennis on LinkedIn

Enjoyed this Episode?

Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.

Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

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.

Resources

• Connect with Alice on LinkedIn

Enjoyed this Episode?

Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.

Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

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.

Resources

• Connect with Sanjeev on LinkedIn
• And for a deeper understanding of data products, check out Sanjeev’s book, "Data Products for Dummies".

Enjoyed this Episode?

Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.

Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

Becoming "data driven" transcends mere technical implementations—it’s an organizational culture rooted in deliberate mindsets and collaborative strategies. Nico Huybrechts, CEO at Datashift, elucidates this concept, sharing from a wellspring of expertise on fostering a data-centric culture that's embedded in an organization's DNA.

While expounding on the notion of 'data-preneur tiger teams,' which hints at a daring approach to tackling challenges in the data realm, Nico's mantra, "achieve impact together," resounds as a call for deep organizational collaboration on strategy, emphasizing that there's no separate data strategy from the business strategy. This approach, enriched with deep listening skills and meaningful cross-organizational connections, not only aligns teams but embeds a data-driven ethos within the organizational fabric, paving the way for sustained success.

Three reasons you should listen to this episode:

1. Unlock the roadmap to becoming a data-driven entity. Nico Huybrechts shares actionable insights on blending technical and human elements to foster a data-centric culture, a crucial step for leaders aiming to leverage data for enhanced business outcomes.

2. Learn practical strategies to enhance business agility. Delve into strategic alignment, the concept of data-preneur tiger teams, and the transition from creative to running mode for data projects to tackle common challenges in data strategy execution.

3. Gain a holistic understanding of embedding a data-driven ethos. Explore the importance of deep listening. organizational collaboration, and meaningful cross-organizational connections to get a well-rounded perspective on truly becoming data-driven.

Resources

• Connect with Nico on LinkedIn

Enjoyed this Episode?

Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.

Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.