Canonical Field Normalizer
Map messy HRIS columns to a clean, consistent field set — once, repeatably.
$19or every pack + kit in the $24/mo subscription
Every export names things differently; this maps raw HRIS columns to canonical fields so the rest of your analysis stops breaking when a column gets renamed. Set the mapping once, re-run forever.
Who it’s for & the problem it solves
An analyst whose source data arrives with different column names every time.
- The situation — Raw HRIS columns and values don't match what your models expect.
- Why it stings — You re-clean the same fields every cycle and it never quite sticks.
- Why it’s wrong — Your analysis shouldn't break because someone renamed a column.
The plan
- Map your columns to canonical fields once
- Save the mapping
- Re-run on every future export
What success looks like
- Clean, consistent fields on every refresh — no re-cleaning
- Without it: Pay the manual cleaning tax again every single cycle
Why us
We know the cleaning tax eats the time you wanted to spend analyzing. The segmentation-studio canonical-field normalization engine.
On the roadmap. Tell us you want it — demand sets what we build next.
This capability already exists in the platform; the drop-in version isn’t packaged yet. Tell us you want it and you move it up the queue.