Practical Data Analytics for BFSI: Leveraging Data Science for Driving Decisions in Banking, Financial Services, and Insurance

✍ Scribed by Bharat Sikka, Dr. Priyender Yadav, Dr. Prashant Verma

Publisher: Orange Education PVT Ltd
Year: 2023
Tongue: English
Leaves: 334
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

This book is a step by step guide to utilize tools like IBM SPSS and Microsoft Power BI. Hands-on examples that utilize Python and SQL programming languages make this an essential guide.

The book features numerous case studies that illuminate various use cases of Analytics in BFSI. Each chapter is enriched with practical insights and concludes with a valuable multiple-choice questionnaire, reinforcing understanding and engagement. This book will uncover how these solutions not only pave the way for increased profitability but also navigate risks with precision and elevate customer support to unparalleled heights.

✦ Table of Contents

Introduction to BFSI and Data Driven Banking
Introduction to Analytics and Data Science
Major Areas of Analytics Utilization
Understanding Infrastructures behind BFSI for Analytics
Data Governance and AI/ML Model Governance in BFSI
Domains of BFSI and team planning
Customer Demographic Analysis and Customer Segmentation
Text Mining and Social Media Analytics
Lead Generation Through Analytical Reasoning and Machine Learning
Cross Sell and Up Sell of Products through Machine Learning
Pricing Optimization
Data Envelopment Analysis
ATM Cash Forecasting
Unstructured Data Analytics
Fraud Modelling
Detection of Money Laundering and Analysis
Credit Risk and Stressed Assets
High Performance Architectures: On-Premises and Cloud
Growing Trends in the Data-Driven Future of BFSI

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