Spend Analytics
Spend analysis usually answers the question you asked last quarter. This answers the one you have now.
The analysis is finished by the time it is relevant
Classification is manual, so the taxonomy lags. The dashboard answers a fixed set of questions, so anything new is a request to a reporting team. By the time the answer arrives, the negotiation is over.
- Category coverage good enough for a board slide, not for a negotiation
- Exceptions found in review rather than as they happen
- Every new question is a ticket
- Two teams quoting different numbers for the same category
What it does
Classify continuously
Spend is classified as it lands, with the confidence level visible, so the taxonomy does not decay between refreshes.
Surface exceptions, not just totals
Maverick spend, price variance and duplicate payments are raised as events rather than waiting to be noticed in a chart.
Ask in plain language
Natural-language questions over the same governed model the dashboards use, so an ad-hoc answer and the official one agree.
Pre-built where it should be
The standard procurement views ship ready, so the first month is spent on findings rather than on building charts.
Where it sits
On top of your transactional data, and on top of governed master data if you have it, because the classification is only as good as the supplier record underneath.
- Reads from
- ERP · P2P · Contract systems
- Pairs with
- Master Data Management
- Delivery
- Dashboards, exception alerts, natural-language query
- Refresh
- Scheduled or event-driven
Live readout
- Spend classified
- 98.1%
- Exception alerts
- 7 this week
- Categories analysed
- 412
- Query
- “Top suppliers by variance”
- Category managers preparing for negotiation
- Procurement leaders reporting savings they have to defend
- Finance teams reconciling spend across entities
See Spend Analytics against your own process
Run it in the Experience Centre with sample data, or book a session and we will run it against your categories, your ERP and your approval chains.