Supply Chain Analytics for Business Results

Date:
May 18, 2023

Location:

Zoom Virtual Platform

Time:
10:00 AM

WORKSHOP DATES:

May 18, 2023 - June 20, 2023

TIME:

10 Sessions: Tuesdays & Thursdays, 10:00AM EST - 12:00PM EDT

LOCATION:

Zoom Virtual Platform

BRIEF DESCRIPTION:

Though the discipline of supply chain analytics has existed for many decades, the analytical models, data management, and software applications underpinning these analytics have evolved significantly. The way data is collected and used in SCM mean that enterprises 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.”

Research by BCG found that Supply Chain Analytics can predict demand and cut inventory by 30% and increase fill rate by 7% which can increase margins by 1-2%. Deloitte says 79% of organizations with high performing supply chains are enabled by Supply Chain Analytics. An Accenture study revealed that 97% of executives understand Supply Chain Analytics can improve their supply chain.

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.

KEY TAKE-AWAYS:

This training is designed for experienced 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.

Understanding Data Analytics, Business Data and Business Systems
Applying Data Analytics techniques, deriving insights, and communicating the insights derived to the business stakeholders.
Make good and quick decisions using the right Decision Science techniques.

Upon completion of the course, candidates will be positioned on the following core competencies.

Spot business opportunities and use-cases for data and analytics.
Improve the adoption of data and analytics solutions in the organization by collaborating with Business, IT, and Data teams based on proven best practices
Improve technical competency and decision-making using data based on trade-off

This course is NOT designed for Under-grad Students or Entry level Programmer or aspiring Python Data Science Developer or a Talend ETL Data Engineer.

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 SCMAO 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:

Module 1

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 and Data Quality
Strategic Data Acquisition for Analytics

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

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

Introduction to Associative Data Analytics
Correlation – Pearson and Spearman
Apriori Techniques

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: Decision Science

Introduction to Decision Science and DEAR Model
4 Factors in the Decision Problem
Analyzing Viable Alternatives & Quantifying Pay-off values
8 Key Decision-Making Environments

Session 10: Data Visualization & Wrap-up

Dashboards & Reports
Data Visualization principles of Edward Tufte
6 building blocks of Data Storytelling including Gestalt Principles
Data Governance
Supply Chain Data Analytics Case Studies – Oil/Gas, Utilities, and Retail/CPG
Managing your careers in Data Analytics
Summary and Wrap-up

Schedule and Logistics

The training is from 4th October to 3rd November 2022, Tuesday and Thursday from 10 AM to 12 PM ET (8 AM to 10 AM MT)
All the data analytics techniques will be done in MS Excel with Analytics + Solver Add-ins

Deliverables:

#	Feature	Feature
1	Live Supply Chain Data Analytics 20-hour course (10 Sessions) over Zoom over 5 weeks	Yes
2	Recordings of the course in Zoom (till 3 months)	Yes
3	Certificate of Achievement (Digital Badge) signed by Dr. Prashanth Southekal (for 75% attendance) with SCM Canada affiliation	Yes
4	Slides in PDF format	Yes
5	25% discount code on Dr. Southekal’s books – Analytics Best Practices and Data for Business Performance	Yes

INSTRUCTOR:

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 3,000 professionals world over in Analytics, Data Products, and Enterprise Performance Management (EPM). He sits on the Advisory board of Evalueserve (Switzerland), uArrow (Singapore), Miles Education (India) and Grihasoft (India). Dr. Southekal is the author of 2 books - Data for Business Performance and Analytics Best Practices and writes regularly in Forbes.com. 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).

PRICE:

Early Bird Registration until April 18, 2023

Members - $895.50 + Tax
Insider - $1,065.50 + Tax
Non-Members - $1,165.50 + Tax

Regular Registration

Member - $995.00 + Tax
Insider - $1,195.50 + Tax
Non-Member - $1,295.00 + Tax

Corporate Price: 20% off for a team of 4 and customized pricing for a team of 5 or above. Please contact Alisha Seguin at aseguin@scmao.ca

CPD:

15 CPD Points

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.

INTERACTIVE WORKSHOP CANCELLATION/RESCHEDULLING:

In the event of a workshop being cancelled or rescheduled, prior notification will be given to registrants by phone or e-mail, with the option of a full refund of registration fees or transfer of registration to another SCMAO offering.