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Why Data Governance Initiatives Succeed and Fail

Data governance promises clarity and trust, yet many initiatives struggle to deliver real impact. Teams often start with the wrong priorities, involve the wrong stakeholders, or focus on everything except real business problems.

In this session I’ll share what actually worked: starting from concrete use cases, reducing datasets, and investing in data modelling. I’ll also cover what held us back, from endless architecture debates to weak IT support and unclear ownership.

You’ll leave with clear guidance on where to focus, what to avoid, and how to make governance deliver real business value.

Vorkenntnisse

Participants should have a basic understanding of data governance or data management concepts. Some exposure to analytics or data-related projects in an organization will help. The session does not require deep technical expertise.

Lernziele

You learn

  • which actions drive data governance success from the start
  • to recognize common pitfalls and how to avoid them
  • to identify how to engage business and IT stakeholders effectively.

Speaker

 

Evgeniya Alekseeva
Evgeniya Alekseeva is Senior data management professional with 7+ years of experience in data governance, master data management, analytics and data quality. At adidas, led product master data initiatives and managed a team of analysts. At Daikin Europe, lead the Customer Master Data Governance program, owning the regional data model and driving governance standards, policies and adoption.
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