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.
Executive Certificate in
Supply Chain Analytics
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.
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.
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.
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
Pedagogy/Learning tools: Case Studies of New Business models
Pedagogy/Learning tools: Explanation of Concepts in lectures. Videos of new technologies that give rise to new data
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.
Pedagogy/Learning tools: Explanation of Concepts in lectures. Case Discussions. Demonstration of Developing a Predictive model with analytical tools.
Pedagogy/Learning tools: Explanation of Concepts in lectures. Case Discussions. Demonstration of Developing a Prescriptive model.
Pedagogy/Learning tools: Explanation of Concepts in lectures using visual representations. Interesting Videos showing application.
IT, Tech & Electronics
Food & Beverage