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What You'll Learn

Master big data analytics for supply chain optimization. Learn to leverage data to improve forecasting, inventory management, logistics, and overall supply chain efficiency.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 5-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Big Data Analytics for Supply Chain Optimization - Course Cover Image
Duration 5 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This course is designed to equip supply chain professionals with the knowledge and skills needed to leverage big data analytics for optimizing supply chain operations. Participants will learn how to harness the power of big data to make data-driven decisions, improve efficiency, reduce costs, and enhance overall supply chain performance. The course covers fundamental concepts of big data analytics, advanced analytical techniques, and practical applications in the context of supply chain management.

Course Duration

5 Days

Who Should Attend

  • Supply Chain Managers
  • Operations Managers
  • Logistics Managers
  • Data Analysts
  • IT Professionals working in supply chain management
  • Business Analysts
  • Professionals involved in supply chain strategy and optimization
  • Anyone interested in understanding the impact of big data on supply chain operations

Course Impact

Organizational Impact

  • Reduce costs and boost profitability by optimizing inventory, transport, and operations.

  • Improve demand forecasting with data-driven insights, minimizing stockouts and overstocks.

  • Mitigate risks by identifying supply chain disruptions and vulnerabilities early.

  • Enhance agility and competitiveness through real-time, data-based decision-making.

Personal Impact

  • Gain cutting-edge skills at the intersection of supply chain and data analytics.

  • Unlock career progression into senior roles in supply chain, operations, or strategy.

  • Drive profitability by turning supply chains into strategic, data-driven assets.

  • Lead with confidence in implementing data-powered initiatives.

Course Objectives

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

  • Understand the basics of big data and its relevance to supply chain management.
  • Apply big data analytics techniques to optimize various aspects of the supply chain.
  • Utilize data visualization tools to interpret and present data insights.
  • Implement predictive analytics for forecasting demand and managing inventory.
  • Enhance decision-making processes using data-driven insights.
  • Identify and mitigate risks in the supply chain through advanced analytics.
  • Improve supply chain efficiency and reduce operational costs using big data.
  • Develop and manage big data projects within the supply chain context. receiving, storage, and distribution processes.

Course Outline

Module 1: Introduction to Big Data and Supply Chain Management

  • Overview of Big Data and its significance
  • Key components of the supply chain
  • Integration of big data in supply chain management
  • Case studies on big data applications in supply chains

Module 2: Data Collection and Management

  • Sources of big data in supply chains
  • Data collection techniques and tools
  • Data storage and management strategies
  • Ensuring data quality and integrity

Module 3: Data Analysis Techniques

  • Descriptive analytics: tools and methods
  • Predictive analytics: techniques and applications
  • Prescriptive analytics: optimization models
  • Hands-on exercises using analytical tools

Module 4: Data Visualization and Interpretation

  • Importance of data visualization
  • Tools for data visualization (Tableau, Power BI, etc.)
  • Creating and interpreting dashboards and reports
  • Practical exercises in data visualization

Module 5: Practical Applications and Case Studies

  • Real-world applications of big data in supply chains
  • Case studies and best practices
  • Developing a big data strategy for supply chain optimization
  • Analyzing and presenting a supply chain optimization case

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 9 Jan 2026 5 days Nairobi, Kenya KES 99,000 | USD 1,400 Enroll Now
5 Jan - 9 Jan 2026 5 days Cape Town, South Africa USD 3,500 Enroll Now
5 Jan - 9 Jan 2026 5 days Dubai, United Arabs Emirates USD 4,000 Enroll Now
5 Jan - 9 Jan 2026 5 days Zanzibar, Tanzania USD 2,200 Enroll Now
12 Jan - 16 Jan 2026 5 days Mombasa, Kenya KES 115,000 | USD 1,500 Enroll Now
12 Jan - 16 Jan 2026 5 days Kigali, Rwanda USD 1,800 Enroll Now
12 Jan - 16 Jan 2026 5 days Accra, Ghana USD 5,950 Enroll Now
12 Jan - 16 Jan 2026 5 days Kampala, Uganda USD 2,200 Enroll Now
19 Jan - 23 Jan 2026 5 days Dar es Salaam, Tanzania USD 2,000 Enroll Now
19 Jan - 23 Jan 2026 5 days Johannesburg, South Africa USD 3,100 Enroll Now
19 Jan - 23 Jan 2026 5 days Nakuru, Kenya KES 105,000 | USD 1,400 Enroll Now
19 Jan - 23 Jan 2026 5 days Dakar, Senegal USD 3,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Pretoria, South Africa USD 3,100 Enroll Now
26 Jan - 30 Jan 2026 5 days Kisumu, Kenya KES 105,000 | USD 1,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Naivasha, Kenya KES 105,000 | USD 1,400 Enroll Now
26 Jan - 30 Jan 2026 5 days Arusha, Tanzania USD 2,000 Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 99,000
USD 1,400
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 3,500
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 4,000
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 2,200
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 115,000
USD 1,500
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 1,800
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 5,950
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 2,200
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 3,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to equip you with the skills to manage every phase of a WASH project, from initial design and planning to successful implementation and closure.
It refers to the full process: needs assessment, project design, resource mobilization, implementation, monitoring, and project closure and hand-over.
You'll learn to conduct needs assessments, develop logical frameworks, and create realistic work plans and budgets to build a solid project foundation.
The course teaches you how to coordinate teams, manage resources, and oversee project activities to ensure they are on schedule, within budget, and high quality.
You'll learn to conduct final evaluations, document lessons learned, and prepare for the sustainable handover of WASH assets to the community.
Training on Big Data Analytics for Supply Chain Optimization

Next class starts 5 Jan 2026

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