Solutions/People Analytics
For People Analytics

Ship people insights faster, with models stakeholders actually trust

Pre-built data models, governed semantic layer, and explainable ML for every common HR question — so your team builds new analyses instead of rebuilding pipelines.

What we deliver

A purpose-built people analytics platform: HR-aware data model, audit-ready ML, governance and PII controls, and embedded analytics that ship insights to the leaders who need them.

Faster time-to-insight
100%
Audit-ready ML
−60%
Stakeholder ad-hoc requests
Pain points

What's slowing People Analytics down today

80% of time on data plumbing

Your team is rebuilding the same HRIS-to-warehouse pipeline instead of doing analysis.

Inconsistent metric definitions

Attrition, headcount, and tenure are calculated 4 different ways across the company.

Off-the-shelf BI isn't HR-aware

Generic dashboards can't handle effective-dated records, org changes, or PII at the right grain.

Black-box ML blocked by legal

Predictive attrition models can't ship without explainability and adverse-impact testing.

Insights die in dashboards

Your decks land in inboxes; nothing changes because no one operationalizes them.

Workflows

How People Analytics use TalentFlow AI

  1. 1
    HR-native semantic layer

    Pre-modeled entities (employee, role, org, comp) with effective-dating, governed metric definitions, and PII tiers.

  2. 2
    Explainable ML library

    Attrition, performance, and mobility models with SHAP-style explanations and adverse-impact reports out of the box.

  3. 3
    Embedded insights

    Push insights into Slack, Teams, and HRBP cockpits — not just dashboards.

  4. 4
    Reverse ETL to action

    Sync segments and signals back to HRIS, ATS, and engagement tools to close the loop.

ROI

Outcomes you can measure in a quarter

We co-build a value model with you in onboarding so every metric ties back to a P&L line — not a vanity dashboard.

Faster time-to-insight

Pre-built data model removes months of pipeline work per project.

100%
Audit-ready ML

Every prediction ships with explainability and adverse-impact reporting.

−60%
Stakeholder ad-hoc requests

Self-serve cockpits answer the recurring questions automatically.

Integrations

Plugs into the systems you already run

Bi-directional sync, SCIM provisioning, and event streams — no rip-and-replace.

SnowflakeDatabricksBigQuerydbtFivetranTableauPower BILookerHightouchCensus
Proof

"We replaced two engineers' worth of pipeline work and shipped four new predictive models in the time it used to take to refresh one dashboard."

Lin Wei · Director, People Analytics, Aperture Robotics
Other solutions

See TalentFlow AI for People Analytics

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