Course overview
Procurement teams hold large volumes of purchasing, supplier, contract, invoice and inventory data, yet many reports remain static extracts with limited diagnostic value. Buyers need to identify spend concentration, off-contract purchasing, price variance, supplier underperformance, forecast error and savings leakage quickly enough to support sourcing decisions. This course develops the Excel methods used to turn operational procurement data into controlled analysis, management reporting and targeted action.
Participants work through the full analytical cycle: defining reliable procurement data, cleaning extracts, building calculation models, analysing spend, measuring supplier performance, testing contract compliance, tracking savings and forecasting demand. The course uses Excel Tables, formulas, PivotTables, Power Query, charts and structured models. Participants also apply procurement methods including Pareto analysis, supplier scorecards, price-volume-mix analysis, ABC classification, total cost of ownership and the Kraljic Portfolio Matrix.
Teaching combines concise instructor briefings with worked procurement cases, guided spreadsheet builds, group interpretation of findings and decision simulations. Cases reflect common purchasing situations such as fragmented indirect spend, contract price leakage, delayed deliveries, inventory exposure and competing supplier quotations. Participants receive a certificate of completion and leave with a reusable procurement analytics workbook structure, KPI definitions, scorecard formats and an application plan for their own reporting priorities. The five-day course is available in classrooms in 50+ cities or live online, with training days running from 08:30 to 16:30.
The course suits procurement professionals who already use Excel for operational reporting and need stronger analytical discipline. It is particularly relevant where procurement must provide evidence for category strategy, supplier reviews, savings governance, audit requests or management decisions.

