Introduction

In today’s data-driven world, supply chain management (SCM) relies heavily on data visualization to transform complex datasets into actionable insights. Effective visualization enhances decision-making, real-time monitoring, risk management, and predictive analytics, enabling supply chain professionals to optimize processes and drive performance.

This course provides an in-depth understanding of modern data visualization tools, dashboards, and best practices to help professionals interpret, analyze, and communicate supply chain data efficiently. Participants will gain hands-on experience with Power BI, Tableau, Python, and other advanced tools to create interactive dashboards and reports that drive strategic decisions.

Course Objectives

By the end of this course, participants will be able to:

• Understand the role of data visualization in supply chain management.
• Use modern visualization tools (Power BI, Tableau, Python, Excel, Google Data Studio).
• Create interactive dashboards for real-time tracking and analytics.
• Interpret KPIs, trends, and predictive analytics using visual storytelling.
• Enhance inventory, logistics, and procurement decision-making through data insights.
• Implement AI and machine learning-driven visual analytics.
• Develop customized visualization solutions for specific supply chain challenges.

Who Should Attend?

This course is designed for:

• Supply Chain Managers & Analysts needing better data insights.
• Logistics & Operations Professionals optimizing tracking and reporting.
• Procurement & Inventory Specialists enhancing decision-making through analytics.
• Business Intelligence & Data Analysts working with supply chain data.
• IT & Data Science Teams integrating visualization into supply chain workflows.
• Retail, Manufacturing, and E-commerce Professionals improving demand forecasting.

Course Outline

Day 1: Fundamentals of Data Visualization in Supply Chain

Morning Session: Introduction to Data Visualization

• Importance of data-driven decision-making in SCM.
• Fundamentals of visual perception and storytelling with data.
• Case study: How leading companies use data visualization for supply chain insights.

Afternoon Session: Tools & Technologies for Data Visualization

• Overview of tools: Power BI, Tableau, Python (Matplotlib, Seaborn), Excel, Google Data Studio.
• Choosing the right tool for different supply chain use cases.
• Workshop: Hands-on introduction to Power BI and Tableau dashboards.

Day 2: Creating Interactive Supply Chain Dashboards

Morning Session: Data Preparation & Integration

• Cleaning and structuring supply chain data for visualization.
• Connecting to ERP, WMS, TMS, and IoT devices for real-time data feeds.
• Workshop: Building a real-time logistics dashboard with Power BI.

Afternoon Session: Designing KPI Dashboards for SCM

• Key supply chain metrics: OTIF, inventory turnover, demand accuracy, lead time.
• Creating custom KPI dashboards for warehouse, transportation, and procurement.
• Workshop: Developing an inventory management dashboard in Tableau.

Day 3: Advanced Data Analytics & Predictive Visualization

Morning Session: Predictive Analytics & Machine Learning in Visualization

• Using AI and ML to forecast demand and optimize logistics.
• Implementing time-series forecasting and anomaly detection in dashboards.
• Case study: How Amazon optimizes supply chain decisions with AI-powered visualization.

Afternoon Session: Geospatial & Network Analytics for Supply Chains

• Mapping supply chain networks and logistics routes.
• Integrating Google Maps API, GIS, and geospatial tools for logistics analytics.
• Workshop: Building a route optimization visualization in Python.

Day 4: Real-Time Monitoring & Risk Management Dashboards

Morning Session: Real-Time Supply Chain Monitoring

• IoT and sensor-based data visualization for real-time tracking.
• Creating live dashboards for fleet management and warehouse tracking.
• Workshop: Developing a live supply chain tracking dashboard in Power BI.

Afternoon Session: Risk Management & Exception Reporting

• Identifying supply chain disruptions using real-time analytics.
• Designing exception reports and alerts for risk mitigation.
• Case study: How DHL and Maersk use dashboards to manage global supply chain risks.

Day 5: Custom Visualization Solutions & Future Trends

Morning Session: Customizing Visual Solutions for Your Organization

• Developing custom visualizations for unique supply chain needs.
• Best practices for reporting, storytelling, and executive dashboards.
• Workshop: Designing a company-specific supply chain dashboard.

Afternoon Session: The Future of Data Visualization in Supply Chain

• Emerging trends: AI-driven analytics, augmented reality dashboards, and voice-driven insights.
• Strategies for continuous improvement and scaling visualization solutions.
• Capstone Project: Presenting a real-world visualization project for supply chain management.

Training Methodology

This course follows a hands-on, practical approach, including:

• Live demonstrations of Power BI, Tableau, Python, and Excel.
• Case studies from industry leaders (Amazon, Walmart, DHL, Maersk).
• Workshops on KPI dashboards, predictive analytics, and real-time monitoring.
• Interactive discussions on supply chain data challenges and solutions.
• Capstone project: Creating an interactive SCM dashboard for a business scenario.

Certification

Upon successful completion, participants will receive:

• A Certificate of Completion in Data Visualization for Supply Chain Management from Learnify® Training.
• A Digital Badge for LinkedIn and professional recognition.

This certification validates expertise in visual analytics, real-time supply chain monitoring, predictive analytics, and AI-driven decision-making, preparing professionals for leadership roles in supply chain data analytics.