Course

The objective of this course is to equip participants with the knowledge and skills necessary to leverage big data analytics for supply chain optimization. Participants will learn to collect, analyze, and interpret large volumes of supply chain data to identify patterns, trends, and insights for strategic decision-making.

• Understanding the role of big data analytics in transforming supply chain management practices and driving operational excellence.
• Proficiency in collecting and processing large volumes of supply chain data from various sources, including sensors, IoT devices, and enterprise systems.
• Skills for applying advanced analytics techniques, such as machine learning and predictive modeling, to optimize supply chain processes and identify opportunities for improvement.
• Strategies for using data visualization tools and dashboards to communicate insights and facilitate data-driven decision-making across the organization.
• Tools and techniques for integrating big data analytics into existing supply chain management systems and workflows to drive continuous improvement.

This course is suitable for supply chain managers, logistics professionals, data analysts, operations managers, and anyone involved in supply chain management and optimization functions within organizations.

Relevant across various industries and sectors that rely on efficient supply chain management to support their operations, including manufacturing, retail, distribution, e-commerce, and logistics.

• Introduction to Big Data Analytics for Supply Chain Management
• Data Collection and Integration in Supply Chain Analytics
• Advanced Analytics Techniques for Supply Chain Optimization
• Data Visualization and Decision Support Tools
• Implementing Big Data Analytics in Supply Chain Management
• Performance Measurement and Continuous Improvement
• Case Studies and Practical Applications in Supply Chain Analytics