A supply chain team can have a dashboard open on every screen and still make the same decision it would have made without any data — because having numbers in front of you is not the same as using them to decide. That gap between collecting data and acting on it is where most of the value of analytics gets lost. The Supply Chain Analytics: From Data to Decisions Training Course, delivered by the Arab British Fellowship Training Academy, is built to close it, for professionals who want data to change what happens next, not just describe what already happened.

The course is organised around a single question for every technique it covers: does this change a decision? Participants learn to define KPIs and build dashboards that decision-makers actually use, apply business intelligence tools to surface patterns worth acting on, and use predictive analytics to get ahead of disruption and demand shifts rather than reacting to them. The course closes with performance measurement practices that hold teams accountable and the cultural shift needed to make data-driven decisions the default, not the exception.

• Judge analytics initiatives by whether they change a real decision, not just produce a report
• Define and track KPIs that reflect what actually matters to the business
• Build dashboards that decision-makers actually use, not ones left unopened
• Apply business intelligence tools to surface patterns worth acting on
• Use predictive analytics to anticipate disruption and demand shifts
• Implement performance measurement practices that drive accountability
• Build a data-driven decision-making culture across supply chain teams

Target Audience

• Supply chain analysts and performance management professionals
• Supply chain and logistics managers responsible for KPI tracking
• Business intelligence professionals supporting supply chain functions
• Planning and forecasting professionals working with predictive analytics
• Operations managers seeking stronger data-driven decision-making
• Professionals preparing for leadership roles in supply chain analytics

Module 1: Why Data Sitting on a Dashboard Is Not a Decision

• The gap between having data and acting on it
• What separates actionable analytics from reporting for its own sake

Module 2: Defining KPIs That Actually Matter

• Selecting KPIs that reflect meaningful supply chain performance
• Avoiding vanity metrics that look good but do not drive decisions

Module 3: Business Intelligence and Dashboards Decision-Makers Use

• Applying BI tools to surface patterns in operational data
• Designing dashboards for clarity and actionability, not data volume

Module 4: Predictive Analytics for Getting Ahead of Disruption

• Applying predictive analytics to anticipate disruption and demand shifts
• Using predictive models to support proactive, not reactive, decisions

Module 5: Performance Measurement and Accountability

• Implementing performance measurement systems that drive accountability
• Aligning individual and team performance with supply chain objectives

Module 6: From Insight to Action: Building a Data-Driven Culture

• Translating analytics findings into concrete operational improvements
• Overcoming resistance to replacing instinct with evidence-based decisions

Module 7: Sustaining Analytics Maturity Long-Term

• Building ongoing analytics capability rather than one-off reporting projects
• Reviewing analytics practices regularly as data and tools evolve