Anti-Analytics: How Not to and How to Use Data Analytics in Business
暫譯: 反分析：企業如何避免誤用與正確運用資料分析
Rodriguez, Eduardo
- 出版商: Auerbach Publication
- 出版日期: 2026-11-30
- 售價: $3,300
- 貴賓價: 9.5 折 $3,135
- 語言: 英文
- 頁數: 433
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032851104
- ISBN-13: 9781032851105
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相關分類:
Data-mining
尚未上市，無法訂購
商品描述
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 mindset 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 of 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.
商品描述(中文翻譯)
認識 Matt！Matt 是數學與分析思考者，也是《Anti-Analytics: How Not to and How to Use Data Analytics in Business》的旁白。Matt 將說明管理者如何成功運用資料分析來解決商業問題。
Matt 分享了如何培養商業分析思維的洞見，營造有利條件，讓組織得以發展商業智慧、創造價值，並建立可持續的競爭優勢。本書介紹「反分析」（Anti-Analytics）的概念，指的是阻礙組織正確採用與調整以分析為基礎之方法的實務與流程。本書將說明如何：
• 提升資料分析專案的永續性，以達成更高層次的策略智慧
• 判斷管理者與技術的最佳組合，以創造組織價值
• 減少資料分析系統在分析與設計過程中的錯誤
反分析與商業分析思維也能協助組織管理將 AI 應用並整合至更廣泛的組織與社會系統時所面臨的不確定性。由於 Generative AI 模型與基本 AI 解決方案已廣泛普及，組織可以輕鬆採用這項技術。然而，AI 與資料分析的真正優勢，來自具備分析思維的使用者；他們能以解決日益複雜問題的方式管理與營運組織。本書將說明如何培養這種分析思維，進而在現在與未來創造能帶來價值與競爭優勢的商業解決方案。
作者簡介
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.
作者簡介(中文翻譯)
Eduardo Rodriguez 博士是美國 University of Wisconsin-La Crosse 的教學副教授。他也是位於加拿大 Ottawa 的研究中心暨顧問公司 IQAnalytics Inc. 的創辦人兼負責人。此外，他亦擔任加拿大 University of Ottawa Telfer School of Management 的兼任分析學教授。
Rodriguez 博士曾擔任多項學術領導與顧問職務。他曾任加拿大 University of Toronto Fields Institute of Mathematics「Finance, Innovation, and Technology Certificate」課程的諮詢委員會成員。此前，他曾任中國溫州 Wenzhou-Kean University School of Mathematical Sciences 的助理教授，並在該校創辦及領導 Risk Analytics Lab。近年來，他積極參與 Puerto Rico Inter-American University Data Science Program 的創設與發展，並曾在多場學術及專業 конференция 擔任主題演講者。
