What is Document Consumption Analytics?

Consumption data reveals an estate's real shape, which usually differs sharply from its assumed one. A small proportion of documents accounts for most access, substantial portions have not been opened in years, and the material people search for hardest is often not the material curated most carefully. Those findings redirect effort toward the documents carrying the work rather than the ones receiving attention by convention. Centralpoint holds consumption alongside AI interaction data, which permits a sharper reading than either alone: what people opened, what they asked the assistant instead, and where the two diverge. A document heavily asked about and rarely opened almost always means the document exists and does not answer the question — a content defect rather than an access one. That signal also feeds the skill corpus, because a question asked repeatedly against thin documentation is a candidate for a governed answer rather than another revision of the source.