Big Data Analytics for Supply Chain Optimization

Overview

Introduction

This 5-day training equips professionals with practical skills to leverage Big Data for optimizing supply chain operations. Participants will learn to analyze, visualize, and interpret large datasets to improve forecasting, inventory, and logistics efficiency. The program emphasizes data-driven decision-making for enhanced operational performance.

Learning Outcomes

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

  • Understand Big Data fundamentals and their relevance to supply chains.
  • Collect, process, and manage large datasets for decision-making.
  • Apply analytics techniques to optimize inventory, demand, and logistics.
  • Visualize supply chain performance using dashboards and reporting tools.
  • Implement data-driven strategies to enhance operational efficiency and reduce risks.


Main Modules

  1. Introduction to Big Data in Supply Chain
  2. Data Collection, Processing, and Management
  3. Analytics and Predictive Modeling
  4. Logistics, Distribution, and Risk Analytics
  5. Strategy, Visualization, and Decision-Making
  6. Inventory Optimization and Forecasting Techniques
  7. Dashboards and KPI Monitoring
  8. Case Studies and Practical Exercises

Certification

All participants will be provided with a program completion certificate from TRACEZ on satisfying the following conditions:

  • 100% attendance in the class and involvement in group discussions
  • Submission of continuous assessment (individual exercise and group exercise)
  • Successful completion of the end of course assessment


Mode Of Learning

online, classroom

Course Code

TRLSCM002

Price

Duration

5 Days

Category

Logistics & Supply Chain Management

Language

English

Certification

Yes

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