Synthetic Data for HR and Workforce
HR data has to be internally consistent: salary should track seniority, termination should follow hire, and headcount should reconcile. Misata correlates pay with tenure and level, orders employment dates correctly, and rolls department headcount up from real employee rows.
The tables Misata generates
employeesNames, roles, hire dates, salary correlated with tenure and leveldepartmentsNames, cost centers, headcount roll-upspayrollPeriodic runs consistent with the employee's salaryreviewsPerformance ratings on a realistic distributionWhat holds true, every time
- Salary rises with tenure and seniority, not randomly
- Termination dates never precede hire dates
- Department headcount equals the count of its employees
- No real employee PII is sourced
Frequently asked
Do I need real HR data to generate this?
No. Misata builds the dataset from a specification, not a sample. There is no real HR data to source, anonymize, or leak. You describe the tables you need and the engine constructs them with referential integrity and realistic distributions.
Is the generated HR data privacy safe?
Yes, by construction. Nothing is learned from real records, so there is no membership to infer and nothing to leak. It runs entirely on your machine with no API key for the core engine.
Can I control the outcomes, like rates and totals?
Yes. Declare a target such as a monthly volume curve or an event rate and Misata produces rows that hit it exactly, while foreign keys stay intact and roll-up columns reconcile after a JOIN.
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