All prices are in Canadian dollars.

Supply Chain Analytics for Business Results

Date:   Jul 20, 2021 - Aug 19, 2021
Time:   10:00 AM (EDT)
Location:   Zoom Virtual Platform

Supply Chain Analytics for Business Results

10 Sessions: Every Tuesdays and Thursdays from July 20th - August 19th at 10:00AM EST - 12:00PM EST 

About the Training Courses

The Supply Chain Analytics for a Business Results is a 20-hour live, virtual, and practical training delivered by Dr. Prashanth H Southekal (profile below), Managing Principal of DBP-Institute. This training will equip participants with key data analytics concepts and skills across Supply Chain and Data analytics domains. Dr. Southekal has trained over 2000 professionals world over for organizations such as SAS-Institute (Canada), Suncor Energy (Canada), DataVersity (US), University of Calgary (UoC, Canada), IE Business School (Spain), Supply Chain Canada, SP-Jain School of Management (India), NTPC (India), Riversand Technologies (US), GAIL (India) and Plains Midstream (Canada).

Learning Objectives

The way data is collected and used in SCM mean that manufacturers are looking for professionals who can understand, analyze, and use the data for improved business performance.  Supply Chain Talent of the Future:  Findings from the Third Annual Supply Chain Survey, points out the need for SCM talent with different skill sets than what was needed in the past.  A majority of supply chain executives as reported by Forbes consider big data analytics a “disruptive and important technology, setting the foundation for long-term change management in their organizations.” 

In this backdrop, this training is designed for Supply Chain Professionals and builds on one’s technical and managerial competencies. Participants will learn real life examples on how data analytics can be applied to various areas of supply chain from transportation, facilities, inventory, information, and procurement. This training has a strong focus on the application of data and insights for supply chain business performance. This training has 3 key learning objectives.

  1. Understanding Data Analytics, Business Data and Business Systems in the context of Supply Chain Management (SCM)
  2. Learning key strategies to acquire quality data for Data Analytics in SCM
  3. Applying Data Analytics techniques, deriving insights, interpreting the results, and communicating the insights derived to senior management and stakeholders.


Training Methodology

This training uses field-tested business analytics tools and techniques. The training material is constantly updated to match the latest trends and industry best practices as Dr. Southekal trains over 50 professionals every month. This training uses a variety of approaches including live lessons, classroom discussions, videos, group activities, pre-class readings, case studies, individual exercises, and guest speaker(s). 

Participants with at least 75% attendance will be awarded a Certificate of Achievement from DBP-Institute, Canada and Supply Chain Canada as evidence of the course mastery. Post training, Dr. Southekal is always available for any short discussion with the students via email, LinkedIn, phone, or video conferencing tools. 

Course Contents:

Session 1: Introduction To Supply Chain Analytics

  • Introduction to Supply Chain Analytics
  • Competitive Advantage with Supply Chain Analytics
  • Supply Chain Competencies for the next decade
  • 5 Key drivers in Supply Chain Analytics
  • Types of Analytics and Data Science Techniques Taxonomy
  • Data Analytics Lifecycle

Session 2: Business Data and IT Systems

  • Business Data, Characteristics and Types
  • IT Systems and types
  • Data Lifecyle, Data Quality and Data Catalog

Session 3: Descriptive Analytics – Part 1(Exploratory Descriptive Analytics)

  • Introduction to Statistics
  • Measuring Supply Chain Performance with Exploratory Data Analytics
  • Measures of Central Tendency and Variation
  • Exploratory Data Analytics
  • Data Profiling
  • Exercise on Data Quality (EDA)

Session 4: Descriptive Analytics – Part 2 (Associative Descriptive Analytics)

  • Introduction to Associative Data Analytics
  • Correlation – Pearson and Spearman
  • Apriori Techniques
  • Strategic Data Acquisition for Analytics

Session 5: Descriptive Analytics – Part 3 (Inferential Descriptive Analytics)

  • Fundamentals of Inferential Data Analytics
  • Hypothesis Testing
  • Inferential Data Analytics (T-Test, A/B Testing, & ANOVA)

Session 6: Predictive Analytics

  • Fundamentals of Predictive Analytics
  • Regression Models – Simple Linear Regression and Multiple Linear Regression
  • Predictive Data Analytics Techniques
  • Evaluating Analytics Models
  • Exercise on Multiple Linear Regression (MLR)

Session 7: Essentials of Machine Learning

  • Fundamentals of ML (Machine Learning)
  • Key characteristics of ML Models
  • Supervised & Unsupervised ML Algorithms in Supply Chain Management
  • Statistical Paradoxes

Session 8: Prescriptive Analytics

  • Introduction to Prescriptive Analytics
  • Prescriptive Analytics for Business Optimization
  • Applying Prescriptive Analytics Techniques for Optimal Results
  • Prescriptive Data Analytics in Solver

Session 9: Data Products and Other Analytics Topic

  • Data Products and Data Monetization
  • Times-series data and Fast Fourier Transform (FFT) Analysis
  • Text Analytics in Enterprises
  • Good Supply Chain Analytics v/s Bad Supply Chain Analytics
  • Supply Chain Data Analytics Case Studies – Oil/Gas, Utilities, and Retail/CPG

Session 10: Data Visualization & Wrap-up

  • Dashboards & Reports
  • Overview of Data Visualization
  • Data Visualization principles of Edward Tufte
  • 6 building blocks of Data Storytelling including Gestalt Principles
  • Managing your careers in Data Analytics
  • Summary and Wrap-up



Dr. Prashanth H Southekal

Dr. Prashanth H Southekal is the Managing Principal of DBP-Institute, a Data Analytics Consulting and Education company. He brings over 20 years of Information Management experience from over 75 companies such as SAP, Shell, Apple, P&G, SAS and GE. In addition, he has trained over 2500 professionals world over in Analytics, Data Products, and Enterprise Performance Management (EPM). He sits on the Advisory board of Evalueserve (Switzerland) and Grihasoft (India). Dr.Southekal is the author of 2 books - Data for Business Performance and Analytics Best Practices and writes regularly in He is an adjunct faculty of Data Analytics at the University of Calgary (Canada) and IE Business School (Spain). Dr. Southekal holds a PhD from ESC Lille (FR) and an MBA from Kellogg School of Management (US). 






Live Supply Chain Data Analytics 20-hour course (10 Sessions) over Zoom over 5 weeks



Recordings of the course in Zoom (till 3 months)



Certificate of Achievement (Digital Badge) signed by Dr. Prashanth Southekal (for 75% attendance) with SCM Canada affiliation



Slides in PDF format



25% discount code on Dr. Southekal’s books – Analytics Best Practices and Data for Business Performance



Regular Registration

  • Member: $995 + Province Tax
  • Non-Member: $1,295 + Province Tax

Corporate Price: 20% off for a team of 4 and customized pricing for a team of 5 or above. Contact Melissa Ciani at

  • Non-member registration includes membership until April 30, 2022
  • Available to Ontario residents only
  • Membership will be activated after this course is completed

Early Bird Registration until May 21, 2021

  • Member: $895.50 + Province Tax
  • Non-Member: $1,165.50 + Province Tax

Corporate Price: 20% off for a team of 4 and customized pricing for a team of 5 or above. Contact Melissa Ciani at

  • Non-member registration includes membership until April 30, 2022
  • Available to Ontario residents only
  • Membership will be activated after this course is completed

CPD: This seminar is worth 10 Continuous Professional Development (CPD) Maintenance Credits

Interactive Workshop Cancellation/Refund Policy:

A full refund will be issued on cancellations received in writing at least 10 business days prior to the workshop start date. An administration fee of $150.00 is applicable if notification is received between three and nine days prior to start date. Thereafter no refund will be available. Substitutions and transfer of registrations is permissible when received in writing three business days before the workshop start date.  Credits to be used for future offerings are valid for 12 months from the date of initial payment and will expire if not used in that time frame.  

Attendees will  receive a confirmation email with the specific workshop details. 


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