Supply Chain Data Analytics

Supply chain data analytics training equips professionals with the essential skills to transform raw data into actionable insights, optimizing every stage of the supply chain. This comprehensive training covers key areas such as demand forecasting, inventory management, logistics optimization, and supplier performance analysis. Participants will learn to leverage industry-leading tools like Power BI, Excel, and specialized supply chain software to enhance decision-making, reduce costs, and improve overall supply chain efficiency. By mastering descriptive, predictive, and prescriptive analytics, graduates can identify trends, anticipate disruptions, and implement data-driven strategies for a more resilient and agile supply chain. This training is ideal for supply chain managers, analysts, and operations professionals seeking to advance their careers and drive business success through effective data utilization.

Target Audience:

○ Supply Chain Managers and Analysts
○ Operations and Logistics Professionals
○ Procurement Specialists
○ Business Intelligence and Data Analysts
○ ERP and IT Integration Leads
○ Industrial Engineers

Course Delivery Method:

This training will be delivered through a combination of:
○ Instructor-led technical walkthroughs of analytics tools and techniques
○ Practical labs and software demonstrations using Power BI and Excel
○ Group workshops and problem-solving activities
○ Case studies of real-world supply chain challenges
○ Hands-on exercises with datasets for analytics modeling
○ Interactive Q&A and open discussion sessions
○ Mini-projects and simulation-based analysis

Course Outline

Module 1: Industry 4.0 and Its Impact on Supply Chain

• Industry 4.0 introduction
• Industry 4.0 drivers and impacts
• Supply chain and logistics within the Industry 4.0
• Vision of the Supply Chain 4.0 and the future of logistics

Module 2: Big Data in Supply Chain and Logistics

• Big Data 5V’s in supply chain and logistics
  • Volume
  • Velocity
  • Variety
  • Value
  • Veracity
• Sources of Big Data within the supply chain and logistics
• Data driven supply chain optimization

Module 3: Supply Chain Optimization

• Framework oriented on customer requirements
• Optimizing the sell operations
• Optimization of distribution
• Optimization of inventory management

Module 4: Optimization of Manufacturing Process

• Optimizing product design and innovation
• Optimizing the production process
• Big Data analysis of logistics activities
• Using created models as agents for future models creation

Module 5: Integration of Excel and Power BI with Existing ERP Software

• Excel most beneficial functions in supply chain analytics
• RFID and vehicle tracking systems connectivity
• Data extrapolation for faster analysis and computation