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Transformation Planning & ReadinessBreakout Session

Data Migration Governance: Building the Foundation for SAP Business AI

November 11, 2026 · 2:20 PM – 3:00 PMAtlantic Ballroom D
Paul Ovigele

Paul Ovigele

ERPfixers

Paul Ovigele is an accomplished financial consultant, author, and speaker with extensive expertise in SAP Financials. With over two decades of experience in the industry, Paul has a proven track record of delivering high-value SAP solutions to a diverse range of clients across various sectors. He is the founder and CEO of ERPfixers, a platform dedicated to providing SAP consulting services and solutions. Paul is well-regarded for his deep knowledge of SAP Financials and Controlling (FICO) modules. He has written several books and articles on the subject, sharing his insights and practical advice with a global audience. His works are widely recognized for their clarity, depth, and practical applicability, making complex SAP concepts accessible to both beginners and seasoned professionals. In addition to his consulting and writing endeavors, Paul is a sought-after speaker at SAP conferences and events worldwide. His presentations are known for their engaging style and informative content, often drawing large audiences keen to learn from his experience and expertise. He continues to contribute to the SAP community through his active participation in forums, webinars, and training sessions, helping businesses optimize their SAP investments and improve their financial processes. Outside of his professional life, Paul is passionate about mentoring young professionals and contributing to various philanthropic initiatives. His commitment to excellence, continuous learning, and community service makes him a respected figure in the SAP and broader financial consulting community.

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About This Session

Understand how strong data governance improves migration outcomes while creating the trusted foundation required for AI-driven business processes.

Attendees will learn:

Data governance best practices Techniques for improving data quality Requirements for AI readiness

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