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The business dimensions of Data Products
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The business dimensions of Data Products

An afternoon on the business aspects of Data Products

en 27 May 2026 – 27 May
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Led by
Mario Meir-Huber
Mario Meir-Huber AI & Data Leader | Author of “Designing Data Products”

Programme

Data Products Business

Day 1
14:00
Workshop Segment Introduction to Data Products, Frameworks

In this session, we will learn what Data Products are—and what they aren’t....

90 min
15:30
Break Coffee Break

Let's have some coffee and discuss :)

30 min
16:00
Workshop Segment The Business Dimension of Data Products

In this session, we will learn how to align Data Product development with...

90 min

What you'll learn

  • Business Case & Value Proposition
  • Organizational Alignment
  • Data Product Ownership & Roles
  • Stakeholder Engagement
  • Operating Models for Data Products

About this workshop

Great Data Products don't just need great technology. They need the right business foundation. In this focused half-day session, you'll learn how to build a compelling business case for Data Products and align them with your organisation's strategic goals. We'll cover ownership models, roles and responsibilities, and how to get stakeholders on board. You'll also explore different operating models that help teams deliver Data Products effectively and sustainably. Whether you're a business leader, product owner, or data strategist, this workshop gives you the tools to drive adoption and create lasting organisational impact.

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Your instructors

Mario Meir-Huber
Mario Meir-Huber AI & Data Leader | Author of “Designing Data Products”

Mario Meir-Huber helps organizations turn scattered data initiatives into governed, business-driven Data Products. A former Head of Data and ex-Microsoftie, he has built Data Products across European companies. He created the GAP (Governance–Architecture–People) model and the DRIVE lifecycle framework and applies them in real engagements. Mario lectures at WU Vienna and TU Wien, teaches on LinkedIn Learning and speaks at events like WeAreDevelopers, Data Modelling Zone, London Tech Week, Data Science Conference and GITEX. He co-authored Handbook Data Science & AI and is writing The Data Products Series.

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