Quality organizations generate massive amounts of data, but up to 80% of it is unstructured and siloed: buried across IoT data, in technician notes, supplier narratives, and field reports. When that data stays siloed, the business consequences compound fast. Warranty claims go uncontested, unplanned downtime catches operations off guard, root causes get misattributed, and supplier accountability becomes nearly impossible to enforce. Engineering teams end up spending half their time cleaning spreadsheets instead of solving problems; by the time an issue surfaces, the cost is already on the P&L.