Data discovery
Know what your data can answer.
Data Atlas lays out the datasets in your graph. Every week, context discovery works through fourteen areas of workforce analytics and keeps only the questions your data answered completely — up to five an area — ready to open in a chat.
In the product: Data Atlas
- How many people left each month this year, by exit reason?Ask →
- What is time to fill by department over the last four quarters?Ask →
- How is headcount split across locations and job levels?Ask →
Data discovery, part by part.
- 01
Data Atlas
Browse the datasets in your graph, their tables and their fields.
- 02
Proven questions
A question is kept only if it was answered on your graph with complete results.
- 03
Refreshed weekly
Discovery runs every week, so the list follows your data as it grows.
- 04
One click to ask
Open any proven question in a chat, and take it from there.
Explore, Discover, Prove, Ask.
- Step 1
Explore
The datasets your graph holds.
- Step 2
Discover
Questions across fourteen areas.
- Step 3
Prove
Kept only if answered completely.
- Step 4
Ask
Open one in a chat.
Questions it answers, in your words.
- “What can we answer about attrition with our data?”
- “Which datasets hold pay history?”
- “Show me this week's proven questions on hiring.”
On the same model and graph
- Common data modelOne common language for every HRIS and HRMS — Workday, Keka, SuccessFactors — with the analytical layer prebuilt.
- AI analystAsk in plain English. It plans the work, runs it on the graph and shows its working.
- HR knowledge graphYour workforce as a graph: people, roles and events, joined by what relates them.
Your next people decision, with the why attached.
Request a demo. We'll email you a two-minute walkthrough today, then set up a time that suits you.