Programme Overview
Myths and promises surrounding Business Analytics galore. Success and failure stories of analytics ventures are visible across organizations. Real experts as well as self-styled experts keep sermonizing about the subject. The uninitiated get confused if it is a panacea, yet another hype, or something that requires informed attention. The reality is confounding to senior people, especially to those involved in tactical and strategic level decision making who have understandably not been formally trained in this emerging field. The result is the dilemma if they are treating the subject with the consideration it deserves, particularly, if they are overdoing the promises or myths surrounding the subject.
The programme will be delivered over five days, through a mix of lectures, interactions, and hands-on demonstration using software tools. The proposed schedule of the sessions is given.
Programme Objective
Given the nature of the subject, expertise development for the operational and tactical level requires a sound understanding of statistics, modern information-communication-computation technology, principles and practices of management, and some business domain expertise as prerequisites. Top and middle level management executives at strategic and tactical levels often may not possess all these skills and this ground reality often paves ways for misunderstandings about the subject leading to unwarranted expectations or missed opportunities caused by ignorance. This programme is meant for middle and top-level decision makers operating at tactical and strategic levels.
The objective is to sensitize the participants about the myths, promises, and realities surrounding business analytics to help them appreciate the potentials and limitations of analytics applications in their own organization.
Key Topics
- Myths, promises, and realities of AI, Machine Learning, and Statistical Learning in decision making
- Success and failure case studies of business analytics
- Statistical approach toward data-driven decision making under uncertainty
- Artificial intelligence and machine learning approaches in modern decision making
- Regression analytics
- Forecasting analytics
- Artificial neural networks and deep learning in aiding business decisions
- HR Analytics
- Social networking analytics in m0dern decision making
- Large language models (LLM) and Generative AI applications in decision making
Programme Directors
Who May Attend
This programme has been refined over years to best suit middle-level and senior-level managers interested in tactical and strategic decision making by using modern data-driven approach of machine learning, statistical learning, and AI.
Programme Duration and Delivery
- From the morning of December 15, 2025 till the afternoon of December 19, 2025
- Face to face - classroom based
Pedagogy
Examples and Case Studies, Discussions on principles and practices without presupposing any technical background, Hands-on practice sessions to get the flavor of machine learning and analytics, Participatory learning
How to Apply
- You can apply/nominate your personnel by clicking on the “Apply Now” link corresponding to the particular MDP, as appearing on our online calendar available at: https://iimcal.ac.in/mdp/mdp-calendar
- Once the candidature(s) is (are) approved, the sponsoring authority or participant (in case of self-nomination) will be intimated over email along with a Proforma Invoice seeking programme fees in advance.
- Programme fees can be remitted online through Electronic Fund Transfer (NEFT/RTGS).
- Upon remitting the fees online, kindly intimate CMDP office with the UTRNo. /relevant transaction details through email, so that we can connect your remittance to your nomination(s). Please note that confirmation of participation is subject to receipt of Programme fees by CMDP Office before commencement of the MDP.
For further assistance, please connect with:
Name: Ms. Payel Majumder
Number: +91 33 7121 6012
Email ID: program_mdp[at]iimcal[dot]ac[dot]in
Programme Brochure
