Data and Analytics | Platform
Data Quality
Rules enforced at entry, monitored continuously.
What it does
Inside Data Quality.
Bad data is prevented at entry rather than cleaned in reporting.
01
Validation at entry with blocking and warning levels
02
Scheduled completeness and consistency checks
03
Exception queues with owners and resolution tracking
04
Quality trending by domain, entity and process
Where it sits
Part of Data and Analytics.
Unified Data Model One model the applications write and the reports read. Document Capture and OCR Scans and PDFs read into fields, lines and records. Dimensions The analysis structure, defined once and enforced. Analytics Engine Measures computed consistently, wherever they appear. Reporting Layer Governed access for people and tools. AI-Ready Data The same governed model that serves people serves agents.
Run Data Quality against your books.
A working session on your structure and a month of your documents.