Data Citizens Dialogues

Discover how leading organizations like PGGM are revamping their data models with frameworks like data mesh to break down bottlenecks and foster active ownership to feed AI systems. Get practical insights on shifting from centralized control to decentralized, product-driven data cultures that empower teams to innovate faster. With Daniëlle Bourgondiën from PGGM Investment Management and Frank Gresnigt from Datashift, we cover:
The real-world benefits and pitfalls of adopting data mesh and self-service platforms
How to turn governance into a value-adding force, not just a compliance checkbox
The critical role of organizational culture in AI readiness and data quality
Why aligning semantic layers and cross-domain coordination is vital for impactful AI models
Practical steps for building scalable, responsible AI systems in complex organizations
This episode guides you to think bigger and act smarter in data and AI governance.
Expertise from PGGM's data management team and DataShift's transformation specialists provide both strategic foresight and actionable tactics you can use.

Discover how Portbase turned a simple data catalog into a strategic digital twin of Dutch ports, creating clarity for their teams. You’ll learn how Portbase’s data platform acts as a digital mirror, representing the entire flow of goods, ships, and trucks across ports, turning raw data into a real-time digital twin that keeps the economy running.
We break down the critical roles of data standards, responsible ownership and transparency, showing how internal language and shared semantics enable agility amid constant change. Eelke Schuurbiers of Portbase shares behind-the-scenes insights into their innovative use of data products, the importance of data quality, and how working with Clever Republic helped accelerate their path to business value.
Plus, get an exclusive look at the playful yet visionary use of gamification to drive adoption. With AI emerging as both a challenge and an opportunity, we explore how Portbase incorporates trustworthy policies, experimentation, and governance to stay ahead of the curve.
This episode reveals that successful data management isn’t just about tools—it’s about culture, language, and continuous evolution.

The secret to elevating data governance and AI success? It's all about mindset. Gaurav Patole, Principal Data Strategist, Data & AI Governance Specialist at ThoughtWorks, reveals how the principles of physics can revolutionize how organizations handle data quality. In a world flooded with unstructured chaos—PDFs, videos, emails—how do you ensure AI models trust what they see? Gaurav’s innovative 'Newton's laws' for data quality offer a surprisingly simple, yet profoundly powerful framework to align technical practices with business value. You'll discover:
Why pushing technical jargon in business conversations causes resistance—and how to flip that dynamic
The real meaning of a data product: the smallest unit of business impact and how to identify it
How organizations tend to fragment data governance—and what steps can unify data at scale
The evolving role of data marketplaces and AI in simplifying access, ownership and quality controls
Insights from a decade of data mesh experience, including the culture shift needed to make data as a product a reality
You can find Gaurav's book at https://www.thoughtworks.com/en-us/insights/books/data-quality-roi and check out more episodes at Collibra.com/podcasts

Transform your data governance approach by treating it as a brand, not just a policy.
In this episode, Adam Coladipietro and Serena Cromarty from British Columbia Lottery Corporation reveal how they shifted their data culture from mandates to motivation through innovative branding, storytelling and user-focused design. Discover how they turned a 281-page strategy deck into an engaging 18-slide interactive experience, winning internal attention. Learn why hiring for curiosity and communication over just technical skill creates a collaborative, empowered data community.
If your organization struggles to make data initiatives stick, this episode offers concrete tactics to make it compelling, approachable, and human-centered. Perfect for leaders craving practical strategies to embed data culture deeply into their organization, without the usual noise and resistance. Step beyond traditional compliance and see how brand-building and empathy can unlock your data team's potential.

Most organizations are still managing data as a collection of tables and reports, but the future demands a shift to truly business-owned data products. Brandon Dombroski, Managing Director, Head of Data Quality and Data Platform Business Ownership at MUFG, reveals how transforming data ownership and engagement unlocks rapid scalability and reduces costs - like cutting data quality rule expenses by 99% - and positions data as a strategic asset rather than just a technical commodity.
In this episode, you’ll discover how MUFG re-engaged the business in data governance, made data catalogs more accessible to non-technical users, and shifted from a data-infrastructure focus to delivering value-driven data products that genuinely serve business needs. Brandon shares a practical framework for evolving from traditional data lakes to a product-centric approach, emphasizing business ownership, use case alignment, and scalable data quality automation.
We also break down the importance of operationalizing data as a product rather than a table, how to foster business buy-in from top-down and bottoms-up strategies, and the emerging role of the Chief AI Officer as data and AI increasingly converge.