Management Decision-Making, Big Data and Analytics
- Simone Gressel - The Hague University of Applied Sciences, Netherlands.
- David J. Pauleen - Massey University, New Zealand
- Nazim Taskin - Massey University, New Zealand, Bogazici University, Management Information Systems Department, Istanbul, Turkey
Information Management (General) | Strategic Management & Business Policy (General)
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
• 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.
- PowerPoint Slides
- Instructors Manual
- SAGE Journal Articles
This book is essential reading for those wanting to understand the role of big data and business analytics in management decision making.
This is a book for real people who have to make decisions and who want to use the best technology and data analytics available today. You do not need to be a technologist to make sense of this book. The many useful charts and diagrams, the recommended additional readings, insightful quotations that give voice to managers’ experiences in working with big data to make decisions, and summaries of key learning for each chapter all lend themselves to making the learning experience easier and more applicable. Most importantly, I think it is a book that will make you want to learn and read more on this critically important topic.
There are many books on Analytics, Big Data and Data Science. This book is unique and practical as it covers the above topics in tandem with decision making, which is crucial for innovation, problem solving and operational enhancements. Furthermore, I am intrigued to see it also addresses many of the non-technical aspects of the field which are all pivotal for quality decision making and knowledge retention – namely the contexts, ethics, privacy, and decision maker’s styles. A great contribution to the field especially for those in practice.
This book addresses a very interesting and timely topic by explaining data, technology, and managerial aspects that are inevitable components of decision-making in today’s business world. This would be a “go-to” book for managers in managerial decision making by helping them to understand the mindset of technical people in industry, as well as for technical staff like data analysts and data scientists by providing them with the big picture about decision making and how managers make decisions using big data.
Content, structure and supporting PowerPoints are excellent for an introductory undergraduate course.