People analytics turns sanitized workforce aggregates into auditable headcount and attrition answers—not employee surveillance. Audit your next HR pack safely.
HR analytics answers weekly HRBP questions on sanitized aggregates you can reverse—never employee scores, name-level exports, or surveillance files in 2026.
Attrition analysis builds an auditable tenure-band queue without employee risk scores or surveillance. Audit the rate, suppression, and evidence before acting.
Headcount planning joins a versioned budget to on-role counts at band and region—never candidate names, small cells, or a write-back into HRIS in 2026.
Workforce analytics opens org and labor-cost questions on sanitized aggregates, never named payroll files. Audit every query and suppression before acting.
HRIS export analysis starts from the CSV or Excel you already have: strip names first, then ask aggregates a reviewer can reopen on a sanitized file in 2026.
People analytics privacy holds the pack until a name cannot fall out: aggregate only, minimize the file, and refuse any grain that identifies a person.
What is people analytics you can audit: band-level counts and rates on a sanitized export—never a named score, leftover cell, or employee file in 2026.
A people analytics platform that ranks employees fails the privacy test. Ask only aggregate grains on a stripped file and hold leftover cells, in 2026.
People analytics metrics are counts and rates at a safe grain—never a named score. Pick three band-level measures and hide leftover cells before you send.
AI people analytics refuses person-level prediction and answers only band-level questions on sanitized workforce data. Audit every output before using it.