Anti-Analytics
How Not to and How to Use Data Analytics in Business
Will be published approx. on 17. November 2026
408 pages
E-Book
978-1-040-52414-5 (ISBN)
Description
Meet Matt! Matt is the Mathematical and Analytical Thinker as well as the narrator of Anti-Analytics: How Not to and How to Use Data Analytics in Business. Matt explains how managers can successfully apply data analytics to business problems.
Matt shares insight into developing a business analytics mindset that fosters the conditions under which organizations can develop business intelligence, create value, and build sustainable competitive advantage. The book introduces the concept of Anti-Analytics, which are the practices and processes preventing the proper adoption and adaptation of analytics-based approaches. The book explains how to:
Enhance the sustainability of data analytics projects to achieve higher levels of strategic intelligence
Determine the best of the mix of managers and technology to create organizational value
Reduce errors in the analysis and design of data analytics systems
Anti-analytics and the business analytics mind set can also help organizations manage the uncertainty surrounding AI's application and integration into broader organizational and societal systems. Because generative AI models and basic AI solutions are widely accessible, organizations can easily adopt this technology. The real advantage from AI as well as data analytics comes from users with an analytical mindset who can manage and operate organizations in ways that solve increasingly complex problems. This book shows how to develop this analytical mindset that can create business solutions delivering value and competitive advantage now and in the future.
Matt shares insight into developing a business analytics mindset that fosters the conditions under which organizations can develop business intelligence, create value, and build sustainable competitive advantage. The book introduces the concept of Anti-Analytics, which are the practices and processes preventing the proper adoption and adaptation of analytics-based approaches. The book explains how to:
Enhance the sustainability of data analytics projects to achieve higher levels of strategic intelligence
Determine the best of the mix of managers and technology to create organizational value
Reduce errors in the analysis and design of data analytics systems
Anti-analytics and the business analytics mind set can also help organizations manage the uncertainty surrounding AI's application and integration into broader organizational and societal systems. Because generative AI models and basic AI solutions are widely accessible, organizations can easily adopt this technology. The real advantage from AI as well as data analytics comes from users with an analytical mindset who can manage and operate organizations in ways that solve increasingly complex problems. This book shows how to develop this analytical mindset that can create business solutions delivering value and competitive advantage now and in the future.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
101 Line drawings, black and white; 101 Illustrations, black and white
ISBN-13
978-1-040-52414-5 (9781040524145)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
approx. 11/2026
1st Edition
Auerbach
€185.50
Not yet published
Book
approx. 11/2026
1st Edition
Auerbach
€74.50
Not yet published
Person
Eduardo Rodriguez, Ph.D. is an Associate Teaching Professor at the University of Wisconsin-La Crosse. He is also the Founder and Principal of IQAnalytics Inc., a research center and consulting firm based in Ottawa, Canada. In addition, he serves as an Adjunct Professor of Analytics at the Telfer School of Management, University of Ottawa.
Dr. Rodriguez has held numerous academic leadership and advisory roles. He has been a member of the Advisory Board for the Finance, Innovation, and Technology Certificate at the Fields Institute of Mathematics, University of Toronto. He previously served as an Assistant Professor in the School of Mathematical Sciences at Wenzhou-Kean University in Wenzhou, China, where he founded and led the Risk Analytics Lab. More recently, he has played an active role in the creation and development of the Data Science Program at the Inter-American University of Puerto Rico and has been a keynote speaker at multiple academic and professional conferences.
Dr. Rodriguez has held numerous academic leadership and advisory roles. He has been a member of the Advisory Board for the Finance, Innovation, and Technology Certificate at the Fields Institute of Mathematics, University of Toronto. He previously served as an Assistant Professor in the School of Mathematical Sciences at Wenzhou-Kean University in Wenzhou, China, where he founded and led the Risk Analytics Lab. More recently, he has played an active role in the creation and development of the Data Science Program at the Inter-American University of Puerto Rico and has been a keynote speaker at multiple academic and professional conferences.
Content
1. Introduction 2. All of Us Have Mathematical-Analytical Minds: Basic Aspects 3. Building a Managerial Mindset to Avoid Anti-Analytics 4. Enterprises and Data Analytics Construction 5. Principles of Anti-Analytics 6. Risk and Anti-Analytics 7. How to Counteract the Principles of Anti-Analytics? 8. Reflections about the Principles of Anti-Analytics
