• Learn to identify patterns in supply chain behavior using Big Data tools.
  • Create virtual models to evaluate and select optimal supply chain strategies.
  • Explore Big Data sources and methods for analysis in supply chain and logistics.
  • Use Big Data insights for dynamic simulation and forecasting.
  • Focus on increasing market share, profitability, and cost reduction.
  • Improve real-time decision-making through predictive analytics.

• Use Big Data tools to identify patterns in supply chain behavior.
  • Create virtual supply chain models to maximize profits.
  • Identify Big Data sources in supply chain and logistics.
  • Apply Big Data analysis methods for accurate forecasting.
  • Use Big Data insights for dynamic simulation and decision-making.
  • Focus on market share growth, profitability, and cost reduction.
  • Enhance real-time decision-making through predictive analytics.

• Supply chain managers and directors.
  • Logistics and operations professionals.
  • Data analysts and business intelligence specialists.
  • Procurement and inventory management teams.
  • IT professionals supporting supply chain systems.
  • Consultants specializing in supply chain optimization.
  • Business leaders seeking to leverage Big Data for competitive advantage.

The course combines interactive lectures, hands-on workshops, and real-world case studies to ensure practical learning.
Participants will engage in group discussions, data analysis exercises, and simulation modeling. Facilitators will use a mix of
presentations, Q&A sessions, and collaborative activities to provide both theoretical knowledge and actionable skills.

Day 1: Introduction to Big Data in Supply Chain

o Overview of Big Data and its relevance to supply chain optimization.
o Key Big Data sources in supply chain and logistics.
o Introduction to Big Data analysis tools and techniques.
o Case study: Identifying patterns in supply chain behavior.

Day 2: Big Data Analysis and Forecasting
o Methods for analyzing Big Data in supply chains.
o Using Big Data for demand forecasting and inventory management.
o Hands-on workshop: Analyzing supply chain data sets.
o Group activity: Forecasting supply chain trends.

Day 3: Virtual Supply Chain Modeling
o Creating virtual models of supply chains.
o Evaluating alternative strategies for profitability.
o Hands-on session: Building and testing supply chain models.
o Case study: Selecting the optimal supply chain strategy.

Day 4: Dynamic Simulation and Real-Time Decision-Making
o Using Big Data insights for dynamic simulation.
o Improving real-time decision-making with predictive analytics.
o Workshop: Simulating supply chain scenarios.
o Group discussion: Addressing real-time supply chain challenges.

Day 5: Driving Business Value and Implementation
o Focusing on market share growth, profitability, and cost reduction.
o Developing actionable plans for supply chain optimization.
o Final presentation: Participants present their optimization strategies.
o Q&A and feedback session.

The CDGA attendance certificate will be issued to all attendees completing a minimum of 80% of the total course duration