Revolutionizing BFSI with Data Analytics

Key Features

● Real-world examples and exercises will ground you in the practical application of analytics techniques specific to BFSI.

● Master Python for essential coding, SQL for data manipulation, and industry-leading tools like IBM SPSS and Power BI for sophisticated analyses.

● Understand how data-driven strategies generate profits, mitigate risks, and redefine customer support dynamics within the BFSI sphere.

Book 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.

What you will learn

● Delve into the world of Data Science, including Artificial Intelligence and Machine Learning, with a focus on their application within BFSI.

● Explore hands-on examples and step-by-step tutorials that provide practical solutions to real-world challenges faced by banking institutions.

● Develop skills in essential programming languages such as Python (fundamentals) and SQL (intermediate), crucial for effective data manipulation and analysis.

● Gain insights into how businesses adapt data-driven strategies to make informed decisions, leading to improved operational efficiency.

Who is this book for?

This book is tailored for professionals already engaged in or seeking roles within Data Analytics in the BFSI industry. Additionally, it serves as a strategic resource for business leaders and upper management, guiding them in shaping data platforms and products within their organizations.

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

    
    

Index