DGIQ-E22: How This Thing Works - Leveraging Operating Models for Better Data Governance

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How This Thing Works - Leveraging Operating Models for Better Data Governance

Operating Models are a key part of any Data Management Strategy. They define the roles, accountabilities, structures, interaction protocols, and more about how an organization, well, operates! But what does this mean for our Data Governance activities? Is it just one more construct that we have to govern or can a comprehensive Operating Model actually help focus our governance activities? 

In this composite case study, I’ll show how several organizations with varying degrees of Data Governance maturity have created operating models that are now providing direction, structure, and focus to their DG activities. Specifically, we’ll address:

  1. The main components of a sound Data Management Operating Model
  2. Why each of these components is important
  3. How to develop a realistic operating model
  4. A composite case study based on 3 different companies at varying stages of their Data Governance journey, showing how the newly defined Operating Model improved the efficacy of their Data Governance activities.

Speaker: David Kowalski

David Kowalski, Ph.D., has spent his entire professional life showing organizations how best to manage and govern their data. David is currently Principal Consultant at Ortecha, a data management executive consulting firm with offices in London, Nashville, and Princeton. He has worked with Data Management executives at large and mid-sized corporations around the world to assess the efficacy of their Data Management practices and help to devise strategies to improve the efficiency, effectiveness, and reliability of these initiatives while mitigating risk exposure around their data management practices. An industry thought leader, he appears regularly at conferences across the country and is contributing member of the Enterprise Data Management Council.

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