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

Bharat Sikka, Dr. Priyender, Dr. Prashant

Sinopse

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 DescriptionAre 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 Contents1. Introduction to BFSI and Data Driven Banking 2. Introduction to Analytics and Data Science 3. Major Areas of Analytics Utilization4. Understanding Infrastructures behind BFSI for Analytics5. 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 Learning10. Cross Sell and Up Sell of Products through Machine Learning11. Pricing Optimization12. Data Envelopment Analysis 13. ATM Cash Forecasting14. 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

Disponível desde: 11/02/2025.

Comprimento de impressão: 334 páginas.

Ciência e Tecnologia

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