DATA ANALYSIS AND DATA VISUALIZATION FOR SUPPLY CHAIN
Transforming Supply Chain Performance Through Insights and Intelligence
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 07 – 11 Dec 2026 | London, UK | USD 3495 per delegate |
Course Introduction
In today’s volatile supply chain environment, data-driven decision-making is no longer optional—it’s essential. From demand forecasting to logistics optimization, organizations need real-time insights to boost efficiency, reduce costs, and manage disruptions. Data analysis and visualization empower supply chain professionals to turn complex datasets into actionable intelligence.
This comprehensive 5-day training course provides participants with the analytical and visualization skills needed to optimize supply chain operations. Through hands-on exercises and real-world applications, attendees will learn to analyze trends, identify bottlenecks, and present data effectively for improved decision-making.
Course Objectives
By the end of this course, participants will be able to:
• Understand key data types and sources across the supply chain
• Perform statistical and operational analysis to identify inefficiencies
• Use Excel, Power BI, and other tools for supply chain analytics
• Visualize trends, KPIs, and insights for supply chain stakeholders
• Apply data storytelling to influence strategic decisions
Key Benefits of Attending
• To improve visibility and responsiveness across the supply chain
• To enhance forecasting, inventory, and transportation performance
• To identify risks, inefficiencies, and improvement opportunities
• To drive collaboration through clear and compelling data visuals
• To align data analysis with real business outcomes
Intended Audience
This program is designed for:
• Supply chain analysts and operations professionals
• Procurement, logistics, and inventory managers
• Business analysts supporting supply chain functions
• IT and data professionals working with supply chain systems
• Anyone involved in supply chain performance improvement or decision support
Individual Benefits
Key competencies that will be developed include:
• Data cleaning, transformation, and dashboard creation
• Forecasting and demand planning using historical data
• Visualization of KPIs like OTIF, lead time, and inventory turnover
• Problem-solving using data models and root cause analysis
• Communication of supply chain findings to non-technical stakeholders
Organization Benefits
Upon completing the training course, participants will demonstrate:
• Improved supply chain agility and cost control
• Smarter, evidence-based decisions across departments
• Faster identification and resolution of performance gaps
• Greater collaboration through data transparency and storytelling
• Enhanced adoption of supply chain analytics and reporting tools
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – Supply chain analytics frameworks and data value chains
• Case Studies – Data-driven decisions in procurement, logistics, and inventory
• Workshops – KPI dashboard creation, Excel modeling, and visualization projects
• Peer Exchange – Experience sharing on supply chain performance measurement
• Tools – Power BI dashboards, Excel templates, and data storytelling frameworks
Course Outline
Detailed 5-Day Course Outline
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Foundations of Data and Supply Chain Analytics
- Module 1: Introduction to Supply Chain Data Types (07:30 – 09:30)
• Structured vs. unstructured data, transactional vs. master data
• Key data points across procurement, production, and delivery - Module 2: Data Quality and Cleaning Techniques (09:45 – 11:15)
• Missing values, duplicates, and standardization practices - Module 3: Workshop – Building a Clean Supply Chain Dataset (11:30 – 01:00)
• Excel-based data cleanup and structuring - Module 4: KPIs and Metrics for Supply Chain Performance (02:00 – 03:30)
• OTIF, fill rate, lead time, stockout rate, and more
Day 2: Exploratory Analysis and Visualization Basics
- Module 5: Descriptive Analytics for the Supply Chain (07:30 – 09:30)
• Trend, ratio, and comparative analysis techniques - Module 6: Introduction to Data Visualization Principles (09:45 – 11:15)
• Chart selection, dashboard layout, and storytelling flow - Module 7: Workshop – Creating Basic Dashboards in Excel (11:30 – 01:00)
• Line charts, bar graphs, slicers, and pivot tables - Module 8: Root Cause Analysis with Visual Tools (02:00 – 03:30)
• Pareto charts, heat maps, and cause-effect diagrams
Day 3: Advanced Excel and Power BI for Supply Chain
- Module 9: Advanced Excel Functions for Analysts (07:30 – 09:30)
• VLOOKUP, INDEX-MATCH, conditional formatting, and macros - Module 10: Power BI Essentials (09:45 – 11:15)
• Data modeling, relationships, and measures using DAX - Module 11: Workshop – Supply Chain Dashboard in Power BI (11:30 – 01:00)
• Designing a dynamic performance dashboard - Module 12: Inventory and Logistics Visualization (02:00 – 03:30)
• Mapping inventory flows, lead time curves, and network graphs
Day 4: Forecasting and Predictive Analysis
- Module 13: Demand Forecasting Techniques (07:30 – 09:30)
• Moving averages, exponential smoothing, and regression - Module 14: Scenario Analysis for Planning (09:45 – 11:15)
• What-if models, cost simulations, and sensitivity analysis - Module 15: Workshop – Forecasting Using Historical Sales Data (11:30 – 01:00)
• Developing a forecast model in Excel or Power BI - Module 16: Communicating Forecasts to Decision Makers (02:00 – 03:30)
• Visual formats for planning, budgeting, and procurement
Day 5: Integrated Insights and Final Presentations
- Module 17: From Data to Decision – The Analytics Value Chain (07:30 – 09:30)
• Aligning data, analysis, visualization, and action - Module 18: Data Storytelling for Supply Chain Leaders (09:45 – 11:15)
• Structuring insights, visuals, and recommendations - Module 19: Workshop – Final Dashboard and Insight Presentation (11:30 – 01:00)
• Presenting findings and improvement suggestions - Module 20: Final Review, Certification, and Action Planning (02:00 – 03:30)
• Feedback, peer reviews, and practical implementation roadmap
Certification
Participants will receive a Certificate of Completion in Data Analysis and Data Visualization for Supply Chain, validating their ability to leverage data for operational excellence, visibility, and decision-making across supply chain functions.