Business Analytics: Methods and Cases for Data-Driven Decisions
2 May 2025
Last update: 05/05/25 21:20
Business Analytics, a new textbook from author and professor Richard Huntsinger is uniquely designed for both the business-oriented and data science-oriented student.
The textbook is all about leveraging data analysis and analytical modelling methods to achieve business objectives. This is the book for upper division and graduate business students with interest in data science, for data science students with interest in business, and for everyone with interest in both. A comprehensive collection of over 50 methods and cases is presented in an intuitive style, generously illustrated, and backed up by an approachable level of mathematical rigor appropriate to a range of proficiency levels. A robust set of online resources, including software tools, coding examples, datasets, primers, exercise banks, and more for both students and instructors, makes the book the ideal learning resource for aspiring data-savvy business practitioners.
Key Features
- Uniquely designed for both the business-oriented and data science-oriented student
- Includes a comprehensive collection of data analysis and analytical modelling methods from the machine learning and artificial intelligence repertoires
- Includes professional-grade business cases based on real industry data
- Accompanied by a rich set of online resources
- Demonstrates business analytics from three angles: ‘What is it for?’, ‘How does it work?’, ‘How do I do it?’
“A must-read for anyone in business analytics – this book combines real-life case studies and practical insights from an experienced professional. It’s thoughtfully crafted to guide learners through complex concepts with ease, making it invaluable for students and professionals alike.”
Raghu Santanam, Arizona State University
About the author
Dr. Richard Huntsinger is an author, professor, expert witness, Silicon Valley entrepreneur, Fortune 500 R&D executive, and management consultant with broad international business and technology experience leading programs in data analytics, process automation, and enterprise software development. He now serves as Faculty Director and Distinguished Teaching Fellow at the University of California, Berkeley, where he lectures and oversees research on data strategy and data science applied to business, law, and public policy.
Learn more
Author Video | Request an exam copy | Visit the book’s webpage
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