Why does data mining matter before we index anything?

The instinct is to point the AI at a repository and start answering questions. The repository has usually accumulated over decades with inconsistent classification, and nobody can state what is in it — which means the resulting retrieval surface cannot be described either, and no control layered on top compensates for not knowing what was indexed.

Centralpoint characterizes the estate first. Data Transfer draws from the source systems, Data Cleaner evaluates against the organization's own dictionary, and taxonomy assignment places records in a structure the business recognizes. Duplication, orphaned material, unclassified sensitive content and stale records surface at this stage, when they are cheap to address, rather than after they are embedded.