Table of Contents

Data Science for Commercial offers a strategic and accessible guide to embedding data science in business. Spanning finance, retail, healthcare, FMCG, and logistics, the book provides real-world use cases and frameworks for data-driven growth and innovation.

Main Sections link

• About This Book
• Preface
• Foreword
• Foreword

Chapter Overview link

• Chapter 1 - The New Age of Data-Driven Business
• Chapter 2 - Data Science Foundations for Business Leaders
• Chapter 3 - Aligning Data Science with Business Strategy and ROI
• Chapter 4 - Data as a Strategic Asset
• Chapter 5 - Analytical Techniques and Modeling Approaches
• Chapter 6 - Data Science in Finance
• Chapter 7 - Data Science in Retail
• Chapter 8 - Data Science in Healthcare
• Chapter 9 - Data Science in FMCG
• Chapter 10 - Data Science in Distribution and Logistics
• Chapter 11 - Evaluating and Interpreting Model Performance
• Chapter 12 - From Pilot to Production
• Chapter 13 - Integrating Data Science into Business Operations
• Chapter 14 - Managing Risk and Ethical Considerations
• Chapter 15 - Scaling Up and Sustaining Initiatives

Closing link

• Closing Notes
• References

Through structured chapters, Data Science for Commercial bridges technical depth and business relevance—empowering readers to deploy analytics effectively and make strategic data-driven decisions.