Transform fragmented procurement data into clear, confident commercial decisions
Procurement teams often hold extensive data across purchasing systems, invoices, contracts, supplier scorecards and market sources. Yet inconsistent classifications, fragmented records and poor data quality frequently prevent that information from guiding better decisions.
This practical two-day workshop shows participants how to convert procurement data into actionable commercial intelligence. Working with a realistic, deliberately imperfect dataset, participants will improve data quality, classify spend, identify value leakage, quantify opportunities, test scenarios and present decision-ready recommendations.
The workshop also explores responsible uses of artificial intelligence in spend classification, anomaly detection and document analysis — with a strong focus on analytical judgement, human validation and auditable decision-making rather than programming.
Reserve a place on the next run
Full outline, dates and fees
What you will take away
- An opportunity register
- A scenario analysis
- A one-page management recommendation
Working documents built during the two days, ready to apply in your organisation.
Two days, built for practice
- Frame the Right Decision Questions
Translate business priorities into clear analytical questions, hypotheses and evidence requirements.
- Strengthen Data Quality and Governance
Address duplicates, missing records, inconsistent descriptions, taxonomy, ownership and confidentiality across procurement data sources.
- Conduct Spend-Cube Analysis
Classify and analyse expenditure by category, supplier, business unit, location and time using manual, rules-based and AI-assisted approaches.
- Identify Leakage and Opportunity
Detect supplier fragmentation, price variance, maverick and tail spend, contract leakage, duplicate expenditure and payment-term opportunities.
- Analyse Cost Drivers and Price Variance
Explain cost differences through supplier drivers, volumes, commercial terms and total-cost components.
- Forecast and Test Scenarios
Assess the impact of demand, inflation, foreign exchange, commodities, freight, capacity and alternative sourcing.
- Design Decision-Focused Dashboards
Select meaningful indicators and communicate the decision, evidence, assumptions, risks and recommended action.
- Use AI Responsibly and Prioritise Action
Apply AI to classification, anomaly detection and document analysis while protecting data, validating outputs and ranking opportunities by value, feasibility and confidence.
For those who use data to drive procurement decisions
Procurement, category and strategic sourcing managers; procurement and cost analysts; and experienced procurement executives who use data to support sourcing, supplier and cost decisions. Also suitable for finance, business intelligence, supply chain, operations and digital-transformation professionals supporting procurement performance.
Deliver this programme in-house
Run it for your team at your premises — in Singapore or overseas — tailored to your organisation's categories and operations, or go further with a fully customised engagement.
