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Applications of Data Analysis across Business Functions and Domains
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03 September 2026

Applications of Data Analysis across Business Functions and Domains offers a comprehensive exploration of how data analytics is transforming decision-making and operational efficiency across industries. In an era defined by data-driven competition, this timely work equips readers with foundational knowledge of key analytical techniques—descriptive, diagnostic, predictive, and prescriptive—and examines their practical applications in core business functions such as marketing, finance, human resources, supply chain, and operations. It also addresses critical topics like data quality, governance, and ethics, providing a well-rounded understanding of the challenges and responsibilities that come with leveraging data effectively.
Drawing on real-world case studies and theoretical insights, author Sayantani Roy Choudhury extends its scope to diverse domains including healthcare, retail, manufacturing, and education. Readers will discover how data analytics is used to personalise marketing, forecast financial trends, optimise workforce strategies, and enhance supply chain performance. Emerging areas such as learning analytics in education and predictive maintenance in manufacturing are also explored, highlighting the growing influence of Industry 4.0 technologies. Designed for professionals, academics, and students alike, this is an essential resource for anyone seeking to harness the power of data to drive innovation and success across business landscapes.
BUSINESS & ECONOMICS / Information Management, Business mathematics and systems, BUSINESS & ECONOMICS / Management Science, COMPUTERS / Languages / General, Research and development management, Integrated software packages
Sayantani Roy Choudhury is an Associate Professor at Praxis Business School, Kolkata, and a Visiting Faculty at IIM Udaipur and IIM Amritsar.
Chapter 1. Introduction to Data Analysis in Business
Chapter 2. Financial Analytics and Risk Management
Chapter 3. Data Analysis in Marketing
Chapter 4. Data Analytics in Human Resources
Chapter 5. Data-Driven Decision-Making in Operations and Supply Chain
Chapter 6. Economic and Public Policy Analytics
Chapter 7. Data Analysis in Healthcare and Medical Research
Chapter 8. Sports and Agricultural Analytics