Many SAP programs start with a dangerous assumption: “our data is good enough.” It rarely is. Duplicate records, outdated master data, and inconsistent definitions surface quickly. Vendors assume clean data because they cannot control it. But when that assumption fails, timelines and costs shift. The earlier data reality is acknowledged, the more stable the program becomes. Ignoring it only delays the impact.

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