Platforms / ProcureTRAK
See your spend clearly and act with confidence
ProcureTRAK helps procurement teams classify, explore and report on spend so they can identify priorities, test assumptions and track performance from a common evidence base.
Who it is for
For organisations whose spend data sits across systems, uses inconsistent categories or cannot answer basic questions about suppliers, compliance, concentration and opportunity.
How it is used
ProcureTRAK is built and run by PI Data Analytics, a Comprara company. Your data is prepared and classified before it is presented, and your team explores it in the dashboards from there. You can use the platform on its own, with clear data ownership and refresh arrangements, or with Comprara's analysts and consultants working alongside you.
What it supports
- Spend classification using agreed taxonomies
- Supplier, category and organisational views
- Off-contract and fragmented-spend analysis
- Tail-spend and opportunity identification
- Drill-down dashboards and exportable reporting
- Repeatable performance measures
Explore a spend cube
This is the kind of view ProcureTRAK gives a procurement team. Switch between views, and hover or tab to any bar, line or bubble for its figures. The figures are sample data, not a client's.
From a raw ledger line to a category you can act on
Categorisation is laborious and time-consuming. ProcureTRAK cleans and maps every line to one taxonomy, and you stay in control of the rules that decide the outcome.
The model proposes. Code decides.
Every line goes through the same six steps. Play it through, or pick a step. Try the pipe assembly to see what happens when a line does not say enough.
Want the analysis done for you?
The platform shows where the money goes. Comprara's analysts and consultants can run the analysis with you, test the opportunities against your contracts and stakeholders, and turn the findings into a plan with owners and measures.
See whether it fits
We will show the platform in the context of your procurement process, data and users, and explain what implementation would require.