Case Studies: Applications of Data Governance in the Enterprise

Thomas Mitrevski, Senior Data Management and Governance Consultant and Lulit Tesfaye, Partner and Vice President of Knowledge and Data Services presented “Case Studies: Applications of Data Governance in the Enterprise” on December 6th, 2023 at DGIQ in Washington D.C.

In this presentation, Mitrevski and Tesfaye detailed their experiences developing strategies for multiple enterprise-scale data initiatives and provided an understanding of common data governance and maturity needs. Mitrevski and Tesfaye based their talk on real-world examples and case studies and provided the audience with examples of achieving buy-in to invest in governance tools and processes, as well as the expected return on investment (ROI).

Check out the presentation below to learn: 

  • How Leading Organizations are Benchmarking Their Data Governance Maturity
  • Why End-User Training was Imperative in Seeing Scaled Governance Program Adoption
  • Which Tools and Frameworks were Critical in Getting Started with Data Governance
  • How Organizations Achieved Success with Data Governance in Under 12 Weeks
  • What Successful Data Governance Implementation Roadmaps Really Look Like

Slide Deck

Thomas Mitrevski is a skilled Product Manager with several years of experience working with web and mobile SaaS products. He has helped build solutions to meet the needs of both small startups and large multi-national organizations. With his expertise in developing strategy and software requirements, Thomas provides valuable guidance on how to scale processes, teams, and products. More from Thomas Mitrevski »
Lulit Tesfaye Lulit Tesfaye is a Partner and the VP for Knowledge & Data Services and Engineering at Enterprise Knowledge, LLC., the largest global consultancy dedicated to Knowledge and information management. Lulit brings over 15 years of experience leading diverse information and data management initiatives, specializing in technologies and integrations. Lulit is most recently focused on employing advanced Enterprise AI and semantic capabilities for optimizing enterprise data and information assets. More from Lulit Tesfaye »