Objectives

• What is a digital platform? Why does it exist?
• Examine the key processes and ecosystem framework
• Identify and evaluate potential challenges, threats and opportunities.
• Frameworks for decision making
• Explore modeling techniques for digital ecosystems
• Promote data based decision making
• Practical examples of machine learning for digital platforms

Contents

1. Design Thinking for Banking Innovation: From Empathy to Economics
    • What is Design Thinking?
    • Banking Innovation
    • Caselet discussion from Indian Banking Industry
2. Foundations of Data Analytics & Visualization
    • Introduction to Data-Driven Decision Making
    • Overview of Data Analytics Lifecycle
    • Key Concepts: Descriptive, Predictive & Prescriptive Analytics
    • Hands-on: Advanced Excel for Data Cleaning & Analysis
    • Use Cases from Banking, Retail & Finance
3. Business Intelligence with Power BI
    • Introduction to Power BI Dashboarding
    • Connecting, Transforming, and Modeling Data
    • Creating Interactive Dashboards and Visualizations
    • Real-time Monitoring and Reporting
    • Hands-on Lab: Build a Management Dashboard (e.g., Sales, Risk, or Productivity)
4. Data Visualization & Storytelling
    • Principles of Effective Data Visualization
    • Using Charts, KPIs, Filters for Storytelling
    • Advanced Features in Power BI (DAX, Power Query)
    • Case Study: Visualizing Customer Behavior/Branch Performance
    • Peer Presentations: Storytelling with Visuals
5. Introduction to AI & ML in Analytics
    • What is AI/ML? How it differs from traditional analytics
    • Supervised vs Unsupervised Learning
    • Real-world applications in finance, operations, HR, marketing
    • Tools Overview: Python, Jupyter Notebooks, AutoML
    • Demo: Predicting Customer Churn or Credit Risk using ML
6. AI/ML for Operational Efficiency & Innovation
    • How AI is automating internal processes (RPA, chatbots, OCR)
    • AI in Forecasting, Resource Planning, Fraud Detection
    • Designing an AI-Driven analytics strategy
        ? Coopetition, tactics for brand stickiness - AI, relationship management, economies of scope
        ? Platform neutrality - Pros and Cons
        ? Boundaries set by Competition Regulation
7. Your company flight path - breakouts and presentation

Who should attend?

This program is aimed at managers in the early or mid-stages of involvement with organizational decision making process. It is also aimed at managers who do not have technical know-how to leverage AI/ML techniques.

Venue & Duration

The programme is scheduled during December 10-12,2025 on a residential basis at MDI Gurgaon Campus, Mehrauli Road, Sukhrali, Gurugram. Accommodation for participants would be available at MDI Gurgaon Campus from the noon of December 09,2025, to the forenoon of December 13,2025.

Registration & Fees

Participants should be nominated by their organizations. The enclosed nomination form should be completed and returned with all the details. The fee of the program is Rs. 42,500/- (Rupees Forty Two Thousand Five Hundred only) per participant which includes a professional fee and all charges for boarding, lodging and supply of course materials during the programme. GST as applicable will be charged extra in addition to the programme fee. Payment should be made by Cheque/NEFT/RTGS.

Discount Policy
With a view to our long-term relationship with your esteemed organization, we are pleased to introduce the discount policy in this programme. The discount will be observed in the following conditions: (discount is applicable in NEPAL also)
• 10% Discount against 3-5 nominations
• 20% Discount against more than 5 nominations

Important Dates

The last date for receipt of nominations is November 26, 2025. The last date for withdrawal of nominations is November 27, 2025. Any withdrawal received after this date will be subject to deduction as per the Institute’s rules. However, substitution may be permitted.
Nominating organizations are advised to await confirmation of acceptance of nominations(s) before sending the participants to the programme venue.

For enquiry, please contact at [email protected] or +91-124-4560008.