Business Intelligence, Analytics, and Data Science Book Review

Chapter Titles or Main Sections of the Book

The book is divided into several sections, but without direct access to the content, a detailed list of chapter titles is not possible to provide. However, based on the book’s theme, we can anticipate chapters on the following topics:

1. Introduction to Business Intelligence, Analytics, and Data Science
2. Role of Managerial Decision Making in Business Intelligence
3. Fundamentals of Data Science
4. The Process of Data Analysis
5. Business Applications of Analytics and Data Science
6. Case Studies and Best Practices in Business Intelligence

Each section likely offers a deep dive into its respective topic, exploring foundational concepts, relevant examples, practical applications, and key takeaways for the reader.

Key Takeaways or Conclusions

The key takeaway from this book is that understanding and correctly using business intelligence, analytics, and data science can provide significant value to businesses. These tools empower managers to make data-driven decisions that can lead to improved business outcomes and competitive advantage.

Authors’ Background and Qualifications

The authors of the book, Ramesh Sharda, Dursun Delen, and Efraim Turban, are highly qualified in the field of business intelligence and data science, boasting several decades of academic and practical experience between them.

1. Ramesh Sharda is a Regents Professor of Management Science and Information Systems at the Spears School of Business at Oklahoma State University.
2. Dursun Delen holds the Spears Endowed Chair in Business Administration and is the Patterson Foundation Endowed Chair in Business Analytics at the same institution.
3. Efraim Turban is a visiting scholar at the Pacific Institute for Information System Management, University of Hawaii.

They have collectively authored and edited several textbooks and research books, and their research papers have been published in several prestigious journals.

Comparison to Other Books on the Same Subject

While there are many books on the topic of business intelligence, analytics, and data science, the managerial perspective this book offers sets it apart. It seamlessly combines the technical aspects of these fields with the strategic and decision-making facets of business management.

Target Audience or Intended Readership

The primary target audience of this book would be students studying business intelligence, data science, or business administration. However, it is also immensely valuable to professionals, especially managers and decision-makers who are interested in harnessing the power of data to drive business results.

Reception or Critical Response to the Book

Without access to specific reviews or critical responses, it’s not possible to provide a consensus on the book’s reception. However, given the authors’ expertise and the book’s comprehensive approach to a highly relevant subject, it’s safe to assume it is well-received among its target audience.

Publisher and First Published Date

The book was first published by Pearson on July 14, 2021.

Recommendations (Other Similar Books on the Same Topic)

Other similar books on the same topic include:

1. (Amazon) “Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking” by Foster Provost and Tom Fawcett
2. (Amazon) “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” by Eric Siegel
3. (Amazon) “Big Data: A Revolution That Will Transform How We Live, Work, and Think” by Viktor Mayer-Schönberger and Kenneth Cukier

Where to Buy

Final Thoughts

The book’s biggest takeaway is: harnessing the power of business intelligence, analytics, and data science is a game-changer in making informed, strategic decisions in business management.