Strategy Summit

Expert Best Practices: Federated Data Governance Meets Data Products

April 30, 2024

Prerequisite: None

Pradeep Karpur

Partner

Technology Consulting - Data and Analytics (EY)

In this session, speaker Pradeep Karpur will delve into practical applications of data product models and federated data governance, sharing insights on the emergence of data marketplace technologies, the surge of self-serve data platforms, and observed trends in data mesh principles across multiple sectors. These trends are necessitating a data product-centric approach.

The presentation will offer an exploration of the philosophies underpinning the data product model, effective practices for its implementation, and potential challenges. He will also underscore one key factor for successful data product implementation: a mature federated data governance capability that balances centralized data governance teams with business domain teams.

What you will learn:

  • Examples of data products and product-based thinking applied to data
  • Examples of successful implementations of data marketplaces fostering sharing of data products
  • Examples of successful delineation of governance responsibilities between the central teams and the business units
  • Examples of automating and codifying data governance in federated models to remove bottlenecks and scale quickly

Agenda Key

  • Analyst Insights: the latest trends and research delivered by TDWI analysts.
  • Expert Best Practices: experts, with in-the-trenches expertise, focus on best practices and successful real-world applications
  • Curated Case Studies: case studies, delivered by experts in the field, with a focus on actionable takeaways
  • Tech-in-Action: moderated technology demos and case study sessions that enable attendees to assess all the latest AI applications and technologies
  • Workshop: Interactive session where leaders come together with peers, with an expert facilitator, to discuss common challenges and proven best practices

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TDWI Chicago

Chicago, IL
April 28–May 3