Fixing the Data Foundation for AI-Driven SAP Enterprises
Fixing the Data Foundation for AI-Driven SAP Enterprises
In the race toward AI-powered, intelligent enterprises, most SAP programmes are still building on fragmented, inconsistent data foundations. That’s a problem—and it’s one that can quietly derail even the most ambitious transformation.
In this latest piece, I break down how combining SAP with Reltio’s modern Master Data Management capabilities can reset the foundation. It’s about moving beyond traditional data governance toward a unified, real-time view of customers, suppliers, and products—exactly what AI and automation actually need to deliver value.
If you're a CIO, CFO, or transformation leader navigating S/4HANA, data strategy, or AI adoption, this is a practical look at what’s really required to make intelligent enterprise ambitions work in the real world.
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Alisdair
About the Author
Alisdair Bach is a recognised SAP Programme Director and turnaround specialist — often called a “turnaround king” by clients for his ability to stabilise and recover the most complex and failing SAP programmes. With decades of experience across global private equity and public sector portfolios, Alisdair has led high-stakes SAP S/4HANA transformations, finance and supply chain turnarounds, and complex delivery rescues.
Alisdair is also a SAP analyst working to define for investors where next with SAP, he is a author and lecturer, he defined the SAP upcycling concept as the alternate narrative to rip it out and start again clean core that is counter intuitive to AI adoption and SAPs 5X growth strategy.
Through Dragon ERP, he brings board-level assurance, forensic diagnostics, and hands-on leadership to programmes that others have written off — combining empathy with no-nonsense execution to deliver results where failure once seemed inevitable.
