Bring structure to the data that lives nowhere.
The context that makes numbers meaningful — who owns which territory, how brands roll up, how customers are classified — isn't in any system. It's in a spreadsheet on someone's laptop.
The Data Management Application captures territory maps, product hierarchies, historical context, classifications and custom KPIs — with validation, approvals, ownership and audit trails — and feeds them downstream into every dashboard, pack, answer, forecast and nudge.
- Territory remap — Route 7 → R. Sharma · approved by ZSM
- New SKU classification — "Derma-Premium" · pending approval
- Brand hierarchy update — 3 brands rolled up · validated
- Custom KPI — "Net realization %" definition v3 · audit trail attached
Validation · approvals · ownership · every change traceable
The context no system holds.
Territory & geography
Who owns what — territories, routes, beats, and the remaps that never make it into the ERP.
Hierarchies
How products, brands, customers and teams roll up — consistent across every report and answer.
Classifications
Customer classes, channel types, priority tags — the labels analysis depends on, finally governed.
Custom KPIs
Definitions with versions, owners and approvals — so "net realization" means one thing everywhere.
Small app. Outsized leverage.
Most analytics failures trace back to context, not computation: an outdated territory map, two versions of a hierarchy, a KPI that means different things in two departments. The Data Management Application closes exactly that gap — which is why it ships alongside the Analytical Engine in every Data Foundation engagement.
The governance half of UNIFY — the Data Management Application is why answers hold up when someone asks "says who?"
Where does your business context live today?
If the answer is "a spreadsheet on someone's laptop" — let's talk.
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