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    Anti-Analytics

Anti-Analytics

Eduardo Rodriguez
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      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 intelligenceDetermine the best of the mix of managers and technology to create organizational valueReduce errors in the analysis and design of data analytics systemsAnti-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.

      Format: Hardback CONTRIBUTORS: Eduardo Rodriguez EAN: 9781032842844 COUNTRY: United Kingdom PAGES: 440 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-11-17 CITY: GENRE: BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Strategic Planning, COMPUTERS / Computer Science, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General WIDTH: 156 mm SPINE:

      Book Themes:

      Econometrics and economic statistics, Business strategy, Probability and statistics, Data mining, Computer science

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      Eduardo Rodriguez, PhD, is an associate teaching professor at the University of Wisconsin–La Crosse, United States. 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, Canada.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, Canada. 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.

      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 intelligenceDetermine the best of the mix of managers and technology to create organizational valueReduce errors in the analysis and design of data analytics systemsAnti-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.

      Format: Hardback CONTRIBUTORS: Eduardo Rodriguez EAN: 9781032842844 COUNTRY: United Kingdom PAGES: 440 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-11-17 CITY: GENRE: BUSINESS & ECONOMICS / Econometrics, BUSINESS & ECONOMICS / Strategic Planning, COMPUTERS / Computer Science, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General WIDTH: 156 mm SPINE:

      Book Themes:

      Econometrics and economic statistics, Business strategy, Probability and statistics, Data mining, Computer science

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      Eduardo Rodriguez, PhD, is an associate teaching professor at the University of Wisconsin–La Crosse, United States. 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, Canada.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, Canada. 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.

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