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Agentic analytics for human resources
HR decisions on hiring, attrition, and engagement are only as good as the data behind them. Cube is the agentic analytics platform built on a semantic layer: HR teams ask questions in plain language and get answers grounded in governed workforce definitions — no SQL, no waiting on an analyst. Sensitive people data stays governed by access rules you model once.
- Ask questions in plain language and get governed, trustworthy answers
- One semantic model, served to BI, spreadsheets, agents, and embedded analytics
- Runs on top of your cloud warehouse — no rip-and-replace
Agentic AI for Human Resources:
Smarter Data, Faster HR Decisions
AI agents surface trends in hiring, attrition, and engagement from governed workforce data, in plain language and under the access rules you set. HR teams get answers directly, without SQL skills or an analyst in the loop.
Accelerate Recruitment and Onboarding
Bring applicant data from disparate systems into one governed model so hiring decisions rest on consistent numbers. Data-backed onboarding shortens time-to-productivity and improves new-hire retention.
Transform Performance Management
Governed HR metrics give every manager the same objective view of performance, so evaluations stay fair and development plans are grounded in consistent data. Agents and dashboards read the same definitions, so there's no argument over whose number is right.
Simplify Compliance and Reporting
Model HR data and access rules once, and reporting for labor laws, diversity mandates, and privacy regulations follows the same governed definitions. Real-time visibility into compliance metrics lowers audit risk and frees HR from manual pulls.
Boost Employee Engagement and Reduce Turnover
Governed, real-time views of sentiment, engagement, and retention let HR intervene before problems compound. Grounded in one model, the metrics behind those decisions stay consistent quarter over quarter.
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