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Supply Chain

Supply Chain Data & Analytics

The Supply Chain Data & Analytics programme turns the data your operation already produces into answers, decisions and measurable savings.

Language
English
Programme detail
Intermediate
Programme detail
48h
Programme detail
Delivered as one interactive course
Programme detail
Professional Credential included
01

Programme overview

What this programme covers

The Supply Chain Data & Analytics programme turns the data your operation already produces into answers, decisions and measurable savings. Across 12 modules and 48 learning hours, you'll learn where supply chain data lives and how to make it trustworthy, the spreadsheet skills that do real analytical work, the KPIs that matter, forecasting and inventory arithmetic worked step by step in dirhams, dashboards people actually act on, applied analytics across procurement, transport and warehousing, and a clear-eyed, no-mystique view of AI and machine learning. Written for supply chain professionals without a data or technical background, every method is explained in plain language and proven on practical examples — reflecting the research landscape as verified in July 2026, when industry studies placed forecasting and visibility at the very top of the supply chain technology agenda. Available fully in English and Arabic, self-paced on any device, with voice narration, a final assessment and a Professional Credential.
02

Practical outcomes

What you will be able to do

  1. 01Why data runs the modern supply chain: the visibility gap, the four levels of analytics, and the 2026 confidence divide
  2. 02The data of a supply chain: systems, master data versus transactions, the item master, and the join keys that unlock analysis
  3. 03Data quality before tools: the six quality dimensions, the cleaning routine, reconciliations and the quality scorecard
  4. 04Spreadsheet skills that do the heavy lifting: lookups, SUMIFS, pivot tables, the cleaning toolkit and charts that answer questions
  5. 05The KPIs that matter: service, inventory, procurement, logistics and warehouse metrics, built into a one-page KPI tree
  6. 06Descriptive analytics: Pareto and ABC classification, trends, seasonality, variance analysis and segmentation
  7. 07Forecasting demand: moving averages, exponential smoothing, seasonal adjustment, and accuracy measured with MAPE and bias
  8. 08Inventory analytics: EOQ, safety stock, reorder points, stock cover and the excess-and-obsolete screen — all worked in dirhams
  9. 09Dashboards and visualisation that drive action: layout, colour discipline, exception management and storytelling with data
  10. 10Analytics in action: spend analysis, supplier scorecards, freight audit, warehouse productivity, control towers and S&OP
  11. 11AI and machine learning without the mystique — then a full capstone case study and your 90-day analytics plan
03

Curriculum

Your learning path

Delivered as one interactive course

All 12 modules and 85 lessons are delivered in one course file. Your place is saved as you go.

  1. Supply Chain Data & AnalyticsInteractive package48h

Verifiable completion

A credential with a public record

Complete every required item and pass the assessment at 65% to receive a Professional Credential with a unique verification code.

See how verification works

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