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Updated in [June 30th, 2023]

This course, Supply Chain Analytics, provides an overview of the importance of Business Analytics and Optimization in the present time of intense global competition. Students will learn the basics of Descriptive, Predictive and Prescriptive Analytics in a Supply Chain, as well as the basics of Modeling through R Language. Upon successful completion of the course, students will be able to understand the level of uncertainty associated with the supply of products and services to targeted customer segments and justify the choice of a supply chain strategy and its fit with competitive strategy.

This course is an elective for PG students and working professionals. Basic knowledge of Operations management is desirable. Supply Chain Analytics is a growing field, and some of the companies already in the business of Supply Chain Analytics and may recognize the online course include IBM, Mu-Sigma, Genpact, Accenture, Capgemini, Wipro, and Deloitte.

[Applications]
Upon successful completion of this course, students and working professionals will be able to apply Supply Chain Analytics to their respective industries. They will be able to understand the importance of Business Analytics and Optimization, analyze the level of uncertainty associated with the supply of products and services to targeted customer segments, explain the role and applications of Descriptive, Predictive, and Prescriptive Analytics in a Supply Chain, and learn the basics of Modeling through R Language. Additionally, they will be able to identify potential employers in the field of Supply Chain Analytics, such as IBM, Mu-Sigma, Genpact, Accenture, Capgemini, Wipro, and Deloitte.

[Career Paths]
[Job Position Path]
Supply Chain Analytics Manager

[Description]
A Supply Chain Analytics Manager is responsible for developing and managing the analytics strategy for a company’s supply chain. This includes analyzing data to identify trends and opportunities, developing models to optimize supply chain operations, and creating reports to track performance. The Supply Chain Analytics Manager must have a strong understanding of supply chain operations and be able to use data to identify areas of improvement. They must also be able to communicate their findings to stakeholders and make recommendations for improvement.

[Development Trend]
The demand for Supply Chain Analytics Managers is expected to grow as companies become increasingly reliant on data-driven decision making. Companies are investing more in analytics and automation to improve their supply chain operations, and the need for professionals with the skills to manage these initiatives is growing. As companies become more data-driven, the role of the Supply Chain Analytics Manager will become increasingly important. Companies will need to hire professionals with the skills to analyze data, develop models, and create reports to track performance.

[Education Paths]
The recommended educational path for learners interested in Supply Chain Analytics is a Master's degree in Supply Chain Management. This degree program typically includes courses in supply chain analytics, operations management, logistics, and business analytics. Students will learn how to analyze and optimize supply chain operations, develop strategies to improve efficiency and reduce costs, and use data-driven decision-making to improve customer service. They will also gain an understanding of the latest technologies and trends in the field, such as artificial intelligence, machine learning, and blockchain.

The development trend of Supply Chain Analytics is towards the use of more advanced analytics and technologies to improve the efficiency and effectiveness of supply chain operations. Companies are increasingly using predictive analytics, machine learning, and artificial intelligence to automate processes, reduce costs, and improve customer service. Additionally, the use of blockchain technology is becoming more widespread, allowing companies to securely track and manage their supply chain data. Finally, the use of big data and analytics is becoming increasingly important, as companies use data to gain insights into customer behavior and optimize their supply chain operations.