Management Decision-Making, Big Data and Analytics

by Simone Gressel, David J. Pauleen, Nazim Taskin

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers.

The book successfully combines theory with practical application, featuring case studies, examples and a 'critical incidents' feature that make these topics engaging and relevant for students of business and management.

The book features chapters on cutting-edge topics, including:
- Big data
- Analytics
- Managing emerging technologies and decision-making
- Managing the ethics, security, privacy and legal aspects of data-driven decision-making

The book is accompanied by an Instructor's Manual, PowerPoint slides and access to journal articles.

Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

336 pages, Paperback

Published January 21, 2021

About the author

Simone Gressel (PhD) is a writer based in the Netherlands. She was a lecturer at The Hague University of Applied Sciences in the Netherlands. She has studied in Germany, the Netherlands, the United States, and completed her doctoral studies in Management and Information Systems in New Zealand. As part of the Management Analytics Decision Making group, her research aimed at exploring the role of analytics and big data as well as human factors such as intuition and experience in the managerial decision-making process, and how a balance between both can be established. She has also held Director positions in the IT industry.

Reviews

[The Lit · Rating 5 out of 5]

This book provides timely and comprehensive insight into data-based (big data and analytics) managerial decision-making. In an age where terms like ‘big data’ and ‘machine learning’ are tossed around but never carefully defined, the authors clearly and plainly explain these core concepts, before spotlighting the focus on the ‘manager’ and Management in the remainder of the book. Chapters are clearly structured and contain useful case studies, practical assessments, as well as succinct ‘take aways’ outlining the key points. Importantly, the authors connect research to practice by including quotes and illustrative scenarios to provide authentic insight into the issues and challenges around using big data for managerial decision-making. Chapter 9 in particular is a favourite, as it explores the ethics and legal implications of data-driven decision-making; an issue we are currently seeing playing out both within and beyond the workplace. Overall, this is an excellent and informative read not only for managers, but for anyone interested in how data can best aid decision-making!

[Ritcha · Rating 5 out of 5]

This book provides wide range of insights on how one can use data in true sense to make strategic and tactical decisions in the world of rapidly evolving technology. This book provides case studies and some thought provoking questions for the reader to reflect upon. The chapter summaries help you to relate your problems with thought provoking messages in the book.

I would highly highly recommend this book! The author has invested time and constructive thoughts to put the message across. The author has also touched on emotional intelligence how one goes through various stages while making impactful fact based decisions.

Definitely worth a read!