Practical Data Analytics for BFSI: Leveraging Data Science for Driving Decisions in Banking, Financi

DESCRIPTION

Are you looking to unlock the transformative potential of data analytics in the dynamic world of Banking, Financial Services, and Insurance (BFSI)? This book is your essential guide to mastering the intricate interplay of data science and analytics that underpins the BFSI landscape.

Designed for intermediate-level practitioners, as well as those aspiring to join the ranks of BFSI analytics professionals, this book is your compass in the data-driven realm of banking. Address the unique challenges and opportunities of the BFSI sector using Artificial Intelligence and Machine Learning models for a data-driven analysis.

TABLE OF CONTENTS

1. Introduction to BFSI and Data-Driven Banking

2. Introduction to Analytics and Data Science

3. Major Areas of Analytics Utilization

4. Understanding Infrastructures behind BFSI for Analytics

5. Data Governance and AI/ML Model Governance in BFSI

6. Domains of BFSI and team planning

7. Customer Demographic Analysis and Customer Segmentation

8. Text Mining and Social Media Analytics

9. Lead Generation Through Analytical Reasoning and Machine Learning

10. Cross Sell and Up Sell of Products through Machine Learning

11. Pricing Optimization

12. Data Envelopment Analysis

13. ATM Cash Forecasting

14. Unstructured Data Analytics

15. Fraud Modelling

16. Detection of Money Laundering and Analysis

17. Credit Risk and Stressed Assets

18. High Performance Architectures: On-Premises and Cloud

19. Growing Trends in the Data-Driven Future of BFSI