Data Readiness: The Workstream That Decides Your S/4HANA Timeline

Data Readiness: The Workstream That Decides Your S/4HANA Timeline

Data migration is the workstream most S/4HANA programs budget for last and understand least, and it's often the one thing standing between a realistic 2027 timeline and a missed one. AI-assisted tooling can compress parts of that work, but it doesn't replace the plan.

SAP's mainstream maintenance for ECC and Business Suite 7 ends December 31, 2027. That date is fixed, and it's doing most of the work pushing organizations to move now. The pressure isn't only about losing patches and support tickets after that date. The wider ECC ecosystem, the consultants who know the old customizations, the third-party tools built around it, the internal staff who've spent a career in it, thins out year by year as the installed base shifts toward S/4HANA. Waiting doesn't just risk running an unsupported system. It risks running one that fewer and fewer people nearby still know how to fix.

Inside that broader migration, data readiness is the workstream most likely to break the schedule. Legacy master data profiling and cleansing gets scoped late and estimated optimistically, in part because nobody can say with confidence how many duplicate vendor records, orphaned material masters, or decade-old unit-of-measure errors are sitting in a given system until someone actually goes looking. Historically that discovery and cleanup work has consumed a large share of a data analyst's time, done record by record and spreadsheet by spreadsheet, and it has to start well before cutover planning locks in the rest of the timeline. AI-assisted profiling tools are starting to compress that timeline for teams that use them, which this piece gets to, but the underlying workload and the need to start early haven't changed.

Data migration doesn't get the executive attention that functional design or custom code decisions get, yet it still eats a disproportionate share of the budget. Research published in Compact, the