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Data Analytics in Business Functional Areas

Authors: Dr. N. Janani, Dr. K. Thirumalvalavan, Mrs. S. Janaki and Dr. R. Varadharaju

ISBN: 978-93-7183-915-0

DOI: https://doi.org/10.59646/da/412

Date of Publication: August 05, 2025

About the Book:

In today’s dynamic business environment, the ability to extract meaningful insights from data has become a key competitive advantage. Organizations across industries are increasingly leveraging data analytics to enhance decision-making, optimize operations, and drive innovation. As a result, the demand for professionals who can apply analytical techniques to real-world business challenges has never been greater. “Data Analytics in Business Functional Areas” is designed to provide students, educators, and professionals with a comprehensive understanding of how data analytics can be applied across various domains of business, including marketing, finance, operations, human resources, and supply chain management. The textbook bridges the gap between theoretical concepts and practical applications, offering a multidisciplinary approach that reflects the complexity of modern business environments.

This book covers foundational principles, statistical tools, and modern analytical techniques—such as predictive modeling, data visualization, machine learning, and business intelligence—within the context of functional business areas. Each chapter integrates case studies, real-life examples, and hands-on exercises to help readers not only understand the concepts but also apply them effectively using contemporary software tools. Our aim is to equip readers with:

  • A solid grounding in data analytics principles.
  • Practical skills to apply analytics in various business contexts.
  • Critical thinking abilities to interpret data-driven insights for strategic decision-making.

This textbook is suitable for undergraduate and graduate students in business analytics, data science, management, and related fields, as well as industry professionals looking to enhance their data-driven capabilities. We would like to thank the academic and professional communities whose evolving needs and contributions inspired the creation of this book. We hope that this text will serve as a valuable resource in your journey toward mastering data analytics in business.

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