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Supply chain data analysis: optimisation and decision-making
Your supply chain data should help you act on flows and deviations. Structure your analysis, choose useful indicators and make results easy to interpret. Strengthen your ability to support operational decisions and improvement priorities with evidence.
- Duration
- 3 days 21 hours
- Code
- SUPC020FR Code
Presentation
In a competitive environment, the supply chain is a strategic performance lever. Businesses generate huge volumes of data, but analysing it is what enables them to optimise inventory, improve logistics flows and anticipate risks. This course develops the skills to collect, analyse and interpret that data to improve operational performance and decision-making.
This 3-day programme covers essential analytical methods, key performance indicators (KPIs) and commonly used digital tools such as Excel and Power BI. The approach is practical and interactive, with hands-on workshops that help you turn theory into action immediately.
By the end of the course, you will be able to build relevant dashboards and use data analysis to identify improvement opportunities. You will then be able to implement corrective actions to optimise overall supply chain performance.
Objectives
- collect and structure data from across the supply chain, including purchasing, inventory, transport and distribution;
- calculate essential KPIs, including availability, inventory turnover, OTIF, overall equipment effectiveness (OEE) and logistics cost, and monitor them in real time;
- use Excel, Power BI and Tableau to combine sources and produce clear visualisations;
- identify trends, demand peaks and anomalies to adjust operational decisions;
- design interactive dashboards that summarise performance and provide early warnings of supply risks or stockouts.
Program
Module 1: Understanding data analysis in the supply chain
- The role of data in supply chain management.
- Data types and information sources.
- Data quality and reliability concepts.
Module 2: Mastering analytical methods and tools
- Descriptive statistics and key performance indicators.
- Mastering pivot tables and advanced Excel formulas.
Module 3: Optimising operations through analysis
- Inventory monitoring and product turnover.
- Lead time and supplier performance analysis.
- Demand forecasting and supply planning.
Module 4: Applying analytical methods
- Analysing a logistics flow to identify bottlenecks.
- Developing a complete supply chain dashboard.
- Interpreting data to propose corrective actions.
Module 5: Implementing continuous improvement
- Establishing indicators for ongoing performance monitoring.
- Variance analysis and regular reporting.
- Strategies for embedding analytics in company culture.
Audience
This course is intended for professionals seeking to use data to optimise supply chain performance and make strategic decisions, including:
- supply chain managers seeking to improve operational management and efficiency;
- logistics planners and analysts seeking to master analytical tools to anticipate demand and optimise flows;
- operations, purchasing and production managers who want to use data to coordinate their functions and identify performance levers;
- logistics managers seeking a data-driven approach to managing activities and supporting decisions with figures.
Prerequisites
- Logistics knowledge: an overall understanding of the supply chain and operational processes, including procurement, inventory, transport and distribution.
- Office software skills: proficiency in common Excel functions, including pivot tables and basic formulas, or previous use of a simple visualisation tool.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
- Practical exercises
- Case study
Course highlights
- Practical, interactive approach: action-focused learning through case studies and workshops using real or simulated data.
- Decision-making and performance focus: the programme is entirely oriented towards improving performance and supporting decisions.
- Adaptability to existing tools: concepts and methods can be applied to different ERP and supply chain monitoring systems.
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.