Programme Content
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
