Research, Data Analytics, and Business Intelligence

Data Analytics for Supply Chain Management Training Course

Supply chains now generate more data than most teams can turn into action, yet many organizations still rely on fragmented spreadsheets, delayed reports, and inconsistent master data that hide service failures until they become expensive. Data analytics for supply chain management is the disciplined use of supply chain data, statistical methods, and decision dashboards to improve planning, execution, and control. It enables professionals to identify demand patterns, track operational KPIs, and convert ERP, WMS, TMS, RFID, and IoT data into practical actions. As AI-assisted forecasting, automation, and real-time exception monitoring become standard expectations, the gap between available data and usable insight keeps widening. This course bridges that gap for supply chain analysts, planning specialists, logistics coordinators, procurement professionals, and operations managers who need to produce KPI scorecards, root-cause analyses, demand forecasts, and improvement plans. Built around real supply chain working outputs, it helps you move from reporting activity to managing performance with evidence, clarity, and confidence.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Foundation To Intermediate
Level
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Live Online Training

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Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
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Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,800
Kigali Rwanda
Mon - Fri
5 Days
USD 2,100
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,600
Abuja Nigeria
Mon - Fri
5 Days
USD 3,100
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In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,800 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,600 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 3,100 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,700 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,900 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 4,200 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,600 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 2,094 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Muscat, Oman Mon - Fri (5 Days) USD 4,800 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Kisumu, Kenya Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Nakuru, Kenya Mon - Fri (5 Days) USD 3,200 English See dates & reserve →
Bangalore, India Mon - Fri (5 Days) USD 4,600 English See dates & reserve →

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About the Course

Organizations invest in supply chain analytics because they need results they can prove across service, cost, and resilience. In practical terms, that means you must demonstrate data quality control, KPI design, dashboard interpretation, demand analysis, and exception management in ways that support planning and executive review. This course uses recognized analytics discipline and supply chain metrics so you can work with inventory turns, fill rate, forecast accuracy, on-time-in-full performance, and root-cause analysis instead of relying on generic reporting. It also reflects how teams now use cloud dashboards and automated data capture to keep pace with faster planning cycles.

The course turns scattered knowledge into a structured supply chain analytics workflow. You will practice building KPI trees, cleaning operational data, mapping process bottlenecks, designing a control dashboard in Power BI or Tableau, and shaping a forecast using Excel and introductory Python concepts. You will also be introduced to how SQL supports querying operational data and how statistical process views support practical diagnosis, while hands-on work focuses on deliverables you can use after class. What you will learn: you will learn to assess supply chain data readiness, design analytics outputs for planning and control, and present findings in a way that supports action. In this course, you will practice building dashboards, KPI scorecards, and root-cause analyses hands-on, while predictive modeling and broader analytics automation are introduced at a foundation-to-intermediate level.

The course is designed for professionals working under real constraints such as incomplete data, multiple systems, limited analytics capacity, and pressure to justify inventory, transport, and service decisions quickly. It is structured to help you make progress even when data maturity is uneven and decision timelines are short.


Target Audience

This course is designed for professionals who need to improve supply chain decisions with trusted data, practical metrics, and usable dashboards.

  • Supply Chain Analysts tracking service, inventory, and exception patterns
  • Demand Planners building forecast views from historical order data
  • Inventory Control Specialists monitoring stock accuracy and replenishment signals
  • Logistics Coordinators analyzing lane performance, dwell time, and delays
  • Procurement Analysts reviewing supplier performance and purchase order trends
  • Operations Managers overseeing KPI reviews across planning and execution
  • Supply Chain Planning Managers aligning demand, supply, and inventory data
  • Transportation Analysts measuring route performance and carrier reliability
  • Business Intelligence Analysts supporting supply chain reporting and dashboards
  • Finance Partners evaluating supply chain cost drivers and working capital impact

Course Objectives

This course equips you to design, execute, and measure supply chain analytics initiatives that improve forecast accuracy, strengthen operational control, and support faster decisions.

  • Assess supply chain data readiness using an operational data quality checklist and ERP, WMS, and TMS inputs.
  • Apply descriptive and diagnostic analytics to inventory, transport, and order-fulfilment performance trends.
  • Build a supply chain KPI scorecard using OTIF, forecast accuracy, inventory turns, and fill rate.
  • Construct a Power BI or Tableau dashboard for daily planning and exception review.
  • Evaluate data consistency and process variation against a practical root-cause analysis workflow.
  • Navigate cross-functional reporting requirements for procurement, logistics, planning, and operations stakeholders.
  • Implement a demand-tracking workflow using Excel trend analysis and introductory SQL querying.
  • Synthesize dashboard findings into a concise supply chain improvement report and action plan.

Requirements & Prerequisites

Prerequisites required: working familiarity with supply chain or logistics operations, basic Excel use, and comfort reading operational reports. No coding is required for completion, although introductory SQL and Python concepts are included at an operational awareness level. Participants should bring a laptop with spreadsheet software and access to sample operational data where available; datasets and lab materials are provided for the exercises. This course is suited to foundation-to-intermediate learners who want practical analytics capability, not advanced data engineering.


Local Application and Business Return in your market

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants apply this course by cleaning and combining supply chain data from planning, warehouse, transport, and procurement systems, then turning it into practical scorecards and forecasts. In day-to-day work, they learn to spot demand shifts, isolate the root cause of service misses, and identify which lanes, suppliers, items, or sites need attention. They also use dashboards to track KPIs such as forecast accuracy, fill rate, OTIF, inventory turns, and order cycle performance. The result is faster decision-making with fewer opinions and more evidence.

Expected ROI

Within 6 to 12 months, organizations typically see better reporting discipline, faster identification of operational problems, and more credible forecasting discussions. That can translate into fewer expedited shipments, improved inventory alignment, and better prioritization of corrective actions across planning and logistics. Procurement teams can also gain clearer visibility into supplier performance and spend patterns, which improves negotiation and sourcing decisions. The biggest value usually comes from reducing avoidable friction caused by delayed, incomplete, or inconsistent data.

Training Methodology

This is a practical, outcome-driven course designed to turn supply chain analytics aspiration into measurable action and credible reporting.

Methodology includes:

  • Hands-on calculation of OTIF, forecast accuracy, and inventory turns from sample supply chain datasets.
  • Scenario simulation on a late-shipment disruption and replenishment constraint.
  • Assessment using a supply chain data quality checklist and KPI audit matrix.
  • Stakeholder mapping across planning, procurement, warehouse, transport, and finance reporting lines.
  • Case study analysis from retail, manufacturing, e-commerce, and third-party logistics operations.
  • Group workshop to build a daily supply chain dashboard under time and data constraints.
  • Reflection exercise comparing current reporting practices against benchmark KPI and analytics discipline.

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 1,700
29th Jun-10th Jul 2026

Nairobi

Kenya
USD 2,900
29th Jun-10th Jul 2026

Kigali

Rwanda
USD 3,800
29th Jun-10th Jul 2026

Dubai

United Arab Emirates (UAE)
USD 7,800
6th Jul-17th Jul 2026

Zanzibar

Tanzania
USD 4,300
29th Jun-10th Jul 2026

Abuja

Nigeria
USD 3,100
6th Jul-10th Jul 2026

Addis Ababa

Ethiopia
USD 4,900
20th Jul-31st Jul 2026

Mombasa

Kenya
USD 3,200
29th Jun-10th Jul 2026

Cape Town

South Africa
USD 7,500
29th Jun-10th Jul 2026

Johannesburg

South Africa
USD 6,000
13th Jul-24th Jul 2026

Pretoria

South Africa
USD 3,600
29th Jun-3rd Jul 2026

Kampala

Uganda
USD 3,700
6th Jul-17th Jul 2026

Lagos

Nigeria
USD 2,500
27th Jul-31st Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Data Analytics for Supply Chain Management Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance

  • Master cutting-edge tools to optimize supply chain efficiency and predictability.
  • Transform data into actionable insights for strategic supply chain decisions.
  • Leverage analytics to reduce costs and improve delivery times.

Expert Delivery

  • Learn from industry leaders with years of experience in supply chain analytics.
  • Gain exclusive insights from real-world case studies by top logistics companies.
  • Interactive sessions ensure you apply concepts in real-time scenarios.

Career Advancement

  • Enhance your resume with skills sought after by Fortune 500 supply chain managers.
  • Position yourself as a key player in driving organizational change through data.
  • Unlock new career opportunities in logistics, procurement, and supply chain management.

Tools and platforms relevant to this field

Examples local teams may encounter, and that may be featured in training where they support the confirmed course scope.

5

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • Power BI Microsoft
    Used to build KPI dashboards and exception views for inventory, service, demand, and supplier performance.
  • Tableau Salesforce
    Used to visualize trends, compare sites or categories, and present supply chain performance to managers.
  • SAP S/4HANA SAP
    Used as an enterprise system of record for supply chain, procurement, and planning data that analytics teams extract and model.
  • Oracle Fusion Cloud SCM Oracle
    Used to support planning, procurement, and logistics processes whose data can be analyzed for performance improvement.
  • Blue Yonder Blue Yonder
    Used in demand planning and fulfillment environments where teams need forecasting and operational visibility.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Local market advisory

Course relevance for your market

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Why this course matters in your market

A market-specific advisory on the operating pressures this course helps teams address.

In the United States, supply chain teams are under pressure to turn fragmented operational data into faster decisions on demand, inventory, service, and supplier performance. This course matters because it helps planners, analysts, logistics teams, procurement, and operations leaders move from reporting what happened to diagnosing why it happened and what to do next. That supports better choices on replenishment, service-level recovery, exception handling, and forecast confidence across complex multi-site networks.
From spreadsheets to decision support

U.S. supply chain roles increasingly need to reconcile ERP, WMS, TMS, and sensor data into one performance view so leaders can act before service failures become costly.

Forecasting is a core capability

Demand volatility and promotions make forecasting skill valuable for U.S. planners, because better statistical forecasts improve inventory positioning and reduce expedites.

Procurement now depends on spend visibility

Procurement teams in the U.S. benefit from spend and supplier analytics because they need clearer evidence on supplier performance, compliance, and category risk.

This training is timely because U.S. organizations are expected to make quicker, evidence-based supply chain decisions while managing higher complexity, tighter service expectations, and more automation. Teams that cannot turn data into usable dashboards, forecasts, and root-cause analysis are more exposed to stockouts, excess inventory, late deliveries, and supplier disruption.

Regulatory context in your market

The local regulators, laws, and frameworks shaping this discipline, with the curriculum mapped to what teams need to know.

4

Regulators

  • BTS Provides transportation data that can support logistics and freight analytics used in supply chain performance management.
  • FMC Relevant where ocean freight and port performance affect supply chain analytics, carrier visibility, and shipment risk.
  • USDOT Oversees transportation policy and data sources that affect logistics planning and performance analysis.
  • Census Bureau Provides trade and business data that can inform demand, market, and supply chain analysis.

Frameworks the course aligns with

  • 01 Supply Chain Act

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

Designation Organization
PRINCIPAL SUPPLY CHAIN OFFICER GHANA NATIONAL PETROLEUM CORPORATION, GHANA

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It is most relevant for supply chain analysts, planners, procurement specialists, logistics coordinators, and operations managers. These roles are typically responsible for turning data into decisions on service, inventory, and performance improvement.

The course is most useful for people who work with Excel plus dashboard or analytics tools such as Power BI or Tableau, and with enterprise systems such as SAP S/4HANA or Oracle Fusion Cloud SCM. The exact tools depend on the employer’s stack, but the core skill is interpreting and using the data rather than just extracting it.

It teaches participants how to examine historical demand, identify patterns and outliers, and use statistical methods to improve forecast quality. That helps teams make better inventory and capacity decisions instead of relying only on intuition.

It addresses late visibility into service issues, weak root-cause analysis, inconsistent KPI reporting, and poor coordination between planning, execution, and procurement. Those are common problems in organizations that have data but lack a disciplined analytics process.

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