Amazon cover image
Image from Amazon.com

Practical data analytics for BFSI : leveraging data science for driving decisions in banking, financial services, and insurance operations / Bharat Sikka, Priyender Yadav and Prashant Verma

By: Contributor(s): Material type: TextTextPublication details: New Delhi : Orange Education, 2023.Description: xxiv, 310 pages : illustrations ; 24 cmISBN:
  • 9789388590907
Subject(s): DDC classification:
  • 332.10285 SIK
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
Summary: 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.Summary: This book explores the area of Data Science and Analytics, including Artificial Intelligence/Machine Learning, that runs behind the BFSI sector to provide its services. This book functionally explains the core concepts of how businesses adapt to Data-Driven solutions to generate profits, reduce risks, and provide better customer support, giving a brief idea to the top management in understanding such a field. On the other hand, this book technically aims to provide solutions to multiple banking pain points using programming languages like Python, R, IBM SPSS, etc. The field of Data Science and Analytics has been in constant highlight for a decade now, and many major industries have stepped and benefited from the domain. BFSI leading the grips in the industry, generating a humungous amount of data. It is only necessary for BFSI to therefore benefit from the information available.
List(s) this item appears in: New Arrivals-December 1st to 31st 2024
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode
Books Institute of Public Enterprise, Library S Campus 332.10285 SIK (Browse shelf(Opens below)) Available 49262

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

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 explores the area of Data Science and Analytics, including Artificial Intelligence/Machine Learning, that runs behind the BFSI sector to provide its services. This book functionally explains the core concepts of how businesses adapt to Data-Driven solutions to generate profits, reduce risks, and provide better customer support, giving a brief idea to the top management in understanding such a field. On the other hand, this book technically aims to provide solutions to multiple banking pain points using programming languages like Python, R, IBM SPSS, etc.

The field of Data Science and Analytics has been in constant highlight for a decade now, and many major industries have stepped and benefited from the domain. BFSI leading the grips in the industry, generating a humungous amount of data. It is only necessary for BFSI to therefore benefit from the information available.

There are no comments on this title.

to post a comment.

Maintained and Designed by
2cqr automation private limited, Chennai. All Rights Reserved.

You are Visitor Number

PHP Hits Count