Training on Big Data Analytics for Supply Chain Optimization
Master big data analytics for supply chain optimization. Learn to leverage data to improve forecasting, inventory management, logistics, and overall supply chain efficiency.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
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
What you'll walk away with
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.
What we cover, module by module
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
Where the change lands
Organizational Impact
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Reduce costs and boost profitability by optimizing inventory, transport, and operations.
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Improve demand forecasting with data-driven insights, minimizing stockouts and overstocks.
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Mitigate risks by identifying supply chain disruptions and vulnerabilities early.
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Enhance agility and competitiveness through real-time, data-based decision-making.
Personal Impact
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Gain cutting-edge skills at the intersection of supply chain and data analytics.
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Unlock career progression into senior roles in supply chain, operations, or strategy.
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Drive profitability by turning supply chains into strategic, data-driven assets.
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Lead with confidence in implementing data-powered initiatives.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Big Data Analytics for Supply Chain Optimization in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.