Data analysis in procurement supports informed decision making, supplier evaluation, and strategic sourcing by enabling professionals to interpret patterns and trends in purchasing activities. This workshop outlines the frameworks and tools used to structure, interpret, and communicate procurement-related data. It provides participants with foundational knowledge in analyzing procurement metrics, forecasting demand, and identifying performance insights that contribute to procurement efficiency.
Identify key data types and metrics used in procurement analysis.
Outline the structure and goals of spend analysis for strategic insight.
Explore the methods used for evaluating supplier performance using data.
Examine the importance of demand forecasting and inventory trends.
Utilize reporting techniques used to present procurement findings.
Procurement and sourcing professionals.
Supply chain analysts.
Contract managers and purchasing officers.
Finance and operations staff supporting procurement.
Data analysts involved in procurement functions.
Types and sources of procurement data.
Key indicators in procurement performance.
Methods of data collection and classification.
Factors affecting data accuracy and reliability.
Overview of procurement analytics systems.
Objectives and structure of spend analysis.
Methods of grouping and segmenting procurement spend.
Key indicators for supplier evaluation.
Techniques for identifying procurement inefficiencies.
Benchmarks and historical comparisons.
Principles of procurement forecasting.
Common patterns in demand and lead time trends.
Elements of effective procurement reporting.
Techniques for summarizing and visualizing results.
Principles of communicating analytical insights to decision makers.
