Executive Certificate in
Supply Chain Analytics

50+ Hrs, 20 Weeks
September 3, 2023

Digitization has led to access of large amount of high speed data. However, insighting from this data remains elusive. This course enhances a supply chain professional’s familiarity with the analytics tools and technologies and shall enhance their data driven decision making skills – a critical skill for career growth.

1,20,000 + GST
(Interest free EMI options available)

Register Now

Course Enroll Now Form

Executive Certificate in
Supply Chain Analytics

Key Learning Items

Understand various ways in which supply chain decisions is becoming data and technology intensive.
Understand the potential of the data to discover problems and shape key decisions in supply chain
Enhance familiarity with the various analytical processes and analytical models and techniques.
Analyze business problems and be able to identify the appropriate analytics tools and techniques.
Understanding the Technology Infrastructure required for Analytics.

Equipment Needed


Who Should Attend

This course is designed for any professional who is part of the Digital Transformation projects in an organization or aims to part of such transformations. Professionals in the IT Department who make decisions on the analytics tools to be procured for supply chain planning and execution will benefit greatly from the course. The section on demand forecasting will be especially useful to the Marketing Professionals.


Descriptive Data Analytics

Ability to discover problems in the supply chain with descriptive Data Analytics.

Forecast Demand

Forecast demand and apply the appropriate technique for demand forecast demand.

Analyze Outputs

Analyze data analysis outputs and take necessary action based on the analytics.

Course Overview

Supply Chain Digitization is the most important agenda in almost all organizations with the objective of improve innovation, efficiency and responsiveness. Digitization has led to the accumulation of large amount of high speed data that originate from unique sources. However, insighting from this data remains elusive. Supply Chain professionals in Organizations need to develop the skills to envision the potential of analytics, to tease out problems that may not be explicitly visible and discover hidden opportunities. This course aims to familiarize managers with different types of analytics possible from various data sources.

Learning Style

The course has a balanced mix of theories, models and analytical techniques and implementation challenges. Theories will be explained with the help of real life examples and will be in lecture model followed by interactive Q&A for doubts and clarifications. Relevant videos demonstrating a concept in action will be played and subsequently analyzed. Participants will be given small caselets on which they can apply the theories. The faculty shall demonstrate application of analytical techniques on excel or a software and provide the data to participants for hands-on practice. Participants will also learn to analyse different situations, choose the appropriate tools /techniques/technologies and partner for Analytics. There will be specific cases in which participants will need to suggest action based on the analysis presented. There may be some quizzes to test comprehension. Participants will be encouraged to share their personal experience of digitization projects that they are involved in.

What will attendees experience during this course?
How will we create an environment to maximize learning?
What type of activities will be used to embed the knowledge and enjoyment

Detailed Course Agenda

The Course is designed for 50+ hrs over 20 weeks.
Classes every Sunday Morning from 10 am to 12:30 pm.
Complete the certification without interrupting life or career

  • The Triple A framework of Supply Chain
  • The link between Business Strategy and Supply Chain Strategy: Efficient vs Responsive Supply Chains
  • Supply Chain Processes – Plan, Source, Make, Deliver and Sell
  • New Business Models emerging from Value created by the Supply Chain

Pedagogy/Learning tools: Case Studies of New Business models

  • Organization data from internal systems
  • Data Available Outside Organization boundaries
    • Unstructured Data from Reviews, Social media, blogs etc
  • Data Sources from new technologies
    • Internet of Things
    • Blockchain


Pedagogy/Learning tools: Explanation of Concepts in lectures. Videos of new technologies that give rise to new data

  • Process of Problem Discovery through Analytics
  • Pre-processing of raw data from core Supply Chain Systems. Data Validation of Data from multiple core systems. Handling missing data, Collating data from different systems to make it meaningful for analysis.
  • Descriptive Analytics, Supply Chain Metrics
    • Spends/Sourcing Analytics
    • Inventory Analytics: ABC XYZ Analysis
    • Logistics Analytics: Delivery Cost and Service Level Metrics
    • Production Analytics: Process, Capacity, Quality and Service Analytics metrics
    • Customer Analytics: Customer Acquisition and Retention Metrics


Pedagogy/Learning tools: Demonstration of data pre-processing. Demonstration of Calculation of Metrics from Raw data, Visualization of Data based on Case studies. Excel files with data will be shared and students are expected to identify challenges in data.

  • What is Predictive Analytics
  • Various Use Cases for Prescriptive Analytics
  • Demand Forecasting 
  • Time Series Techniques
  • Causal techniques
  • Process of Predictive Modelling: From Building models to evaluating model fit. 
  • Supervised Models
    • Predicting Customer Churn
      • Based on Structured Data
      • Based on Unstructured Data – Text Mining Topic Modelling
  • Predicting Equipment Failure
  • Unsupervised Models
    • Dimensionality Reduction: Reducing number of variables to simplify model building.
    • Clustering: Use cases in Recommender Systems and Segmentation

Pedagogy/Learning tools: Explanation of Concepts in lectures. Case Discussions.  Demonstration of Developing a Predictive model with analytical tools.

  • What is Prescriptive Analytics?
  • Examples of new age use cases of Real time Prescriptive Analytics in Supply Chain fuelled by Digitization. (Driving real time decisions in Manufacturing/ Inventory Management/Logistics or Sales Campaigns or Algorithmic Marketing)
  • Analytical framework for specifying a trade-off problems and optimization problems
  • Formulation a model for Prescriptive Analytics with hands on exercise e.g. Network Design

Pedagogy/Learning tools: Explanation of Concepts in lectures. Case Discussions.  Demonstration of Developing a Prescriptive model.

  • Datawarehousing and Data Center/AWS (including Extraction, Transformation, Loading)
  • Modelling Tools: Implementation of Real Time System with Model Building – Case Studies of AWS.
  • End to End Supply Chain Solutions.
  • Internet of Things and BlockChain.

Pedagogy/Learning tools: Explanation of Concepts in lectures using visual representations. Interesting Videos showing application.

Companies That Can Attend



IT, Tech & Electronics


Food & Beverage





Academia & Experts As Instructors

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Batch starts September 3, 2023

Executive Certificate in
Supply Chain Analytics

50+ Hrs, 20 Weeks
1,20,000 + GST
(Interest free EMI options available)

Register Now

Course Enroll Now Form

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