

Decision-Driven Analytics: Leveraging Human Intelligence to Unlock the Power of Data
DECISION-DRIVEN ANALYTICS
內容簡介
Companies have more data at their fingertips than ever before. Yet, studies show that most executives and organizations fail to extract real value from it.
Challenging the conventional wisdom of data-driven decision-making, marketing professors and behavioral scientists Bart De Langhe and Stefano Puntoni argue that many analytics efforts flounder because data analyses are disconnected from the decisions to be made. In their important book, they offer a new approach they call decision-driven analytics. Counterintuitively, they argue that the key to making good decisions with data is to start by putting data in the background. Drawing from their own research and teaching, as well as real-world business cases, De Langhe and Puntoni offer four pillars of decision-driven analytics and guide you around common mistakes that have held back many organizations from using data for impact. In Decision-Driven Analytics, you will learn how to: + Avoid common pitfalls in data-driven decision-making;+ Close the gap between managers and decision-making on one side, and data scientists and data analytics on the other;
+ Enhance the impact of data analytics on business outcomes;
+ Think without data to make better decisions;
+ Prepare for artificial intelligence's impact on data analytics; and
+ Evaluate the costs and benefits of decision-driven analytics. A must-read for anyone who wants to harness the power of data for competitive advantage, Decision-Driven Analytics will equip you with the skills and tools you need to more effectively use data for business outcomes and to make better decisions in today's complex and data-rich world.
作者介紹
Bart De Langhe is a Professor of Marketing at KU Leuven and Vlerick Business School. He also founded Behavioral Economics and Data Analytics for Business (BEDAB), a consultancy that assists companies in using behavioral science and data analysis to make better decisions and improve performance. De Langhe's research examines how managers and consumers make judgments and decisions, with a specific emphasis on their intuitions about data, metrics, and statistics. He has published articles in leading academic journals in business and psychology, such as Journal of Marketing Research, Management Science, Journal of Consumer Research, and Journal of Experimental Psychology: General. His work has also been featured in popular outlets, such as Harvard Business Review, MIT Sloan Management Review, The Wall Street Journal, and The New York Times. In 2017, he was recognized by the Marketing Science Institute as one of the most promising young scholars in marketing.
De Langhe has taught a wide array of courses related to marketing management, consumer behavior, behavioral economics, data analytics, and managerial decision-making at various academic levels, including undergraduate, MSc, MBA, EMBA, PhD, and open/custom executive programs. He has taught at prestigious business schools in Europe, North America, and Asia. As a testament to his excellence in teaching, De Langhe was recognized by Poets and Quants in 2021 as a "best 40-under-40" business school professor. He received his PhD in Marketing from Erasmus University Rotterdam, and his bachelor and master degrees in Psychology from KU Leuven. Stefano Puntoni is the Sebastian S. Kresge Professor of Marketing at the Wharton School, University of Pennsylvania. He is also the co-director of AI at Wharton, an initiative to foster, coordinate, and promote research and teaching on artificial intelligence across the Wharton School. Puntoni brings a behavioral science perspective to artificial intelligence and algorithms, to investigate how automation is changing consumption and society. His research has appeared in many leading journals, including Journal of Consumer Research, Journal of Marketing Research, Journal of Marketing, Journal of Consumer Psychology, Nature Human Behavior, and Management Science. He also writes regularly for managerial outlets such as Harvard Business Review and MIT Sloan Management Review. He is a former MSI Young Scholar and MSI Scholar, and the winner of several grants and awards. Puntoni is currently an Associate Editor at the Journal of Consumer Research and at the Journal of Marketing. At Wharton, Puntoni teaches undergraduates, MBAs, and executives in the areas of new technologies, marketing strategy, brand management, and decision making. He holds a PhD in marketing from London Business School and a degree in statistics from the University of Padova, in his native Italy. Prior to joining Penn he was a Professor of Marketing and Department Head at the Rotterdam School of Management, Erasmus University, in the Netherlands.規格
退貨說明
退貨須知:
- 依照消費者保護法的規定,您享有商品貨到次日起七天猶豫期(含例假日)的權益(請注意!猶豫期非試用期),辦理退貨之商品必須是全新狀態(不得有刮傷、破損、受潮)且需完整(包含全部商品、配件、原廠內外包裝、贈品及所有附隨文件或資料的完整性等)。
- 請您以送貨廠商使用之包裝紙箱將退貨商品包裝妥當,若原紙箱已遺失,請另使用其他紙箱包覆於商品原廠包裝之外,切勿直接於原廠包裝上黏貼紙張或書寫文字。若原廠包裝損毀將可能被認定為已逾越檢查商品之必要程度,本公司得依毀損程度扣除回復原狀必要費用(整新費)後退費;請您先確認商品正確、外觀可接受,再行拆封,以免影響您的權利;若為產品瑕疵,本公司接受退貨。
依「通訊交易解除權合理例外情事適用準則」,下列商品不適用七日猶豫期,除產品本身有瑕疵外,不接受退貨:
- 易於腐敗、保存期限較短或解約時即將逾期。(如:生鮮蔬果、乳製品、冷凍冷藏食材、蛋糕)
- 依消費者要求所為之客製化給付。(如:客製印章、鋼筆刻字)
- 報紙、期刊或雜誌。
- 經消費者拆封之影音商品或電腦軟體。
- 非以有形媒介提供之數位內容或一經提供即為完成之線上服務,經消費者事先同意始提供。(如:電子書)
- 已拆封之個人衛生用品。(如:內衣褲、襪類、褲襪、刮鬍刀、除毛刀等貼身用品)
- 國際航空客運服務。
若您退貨時有下列情形,可能被認定已逾越檢查商品之必要程度而須負擔為回復原狀必要費用(整新費),或影響您的退貨權利,請您在拆封前決定是否要退貨:
- 以數位或電磁紀錄形式儲存或著作權相關之商品(包含但不限於CD、VCD、DVD、電腦軟體等) 包裝已拆封者(除運送用之包裝以外)。
- 耗材(包含但不限於墨水匣、碳粉匣、紙張、筆類墨水、清潔劑補充包等)之商品包裝已拆封者(除運送用之包裝以外)。
- 衣飾鞋類/寢具/織品(包含但不限於衣褲、鞋子、襪子、泳裝、床單、被套、填充玩具)或之商品缺件(含購買商品、附件、內外包裝、贈品等)或經剪標或下水或商品有不可回復之髒污或磨損痕跡。
- 食品、美容/保養用品、內衣褲等消耗性或個人衛生用品、商品銷售頁面上特別載明之商品已拆封者(除運送用之包裝外一切包裝、包括但不限於瓶蓋、封口、封膜等接觸商品內容之包裝部分)或已非全新狀態(外觀有刮傷、破損、受潮等)與包裝不完整(缺少商品、附件、原廠外盒、保護袋、配件紙箱、保麗龍、隨貨文件、贈品等)。
- 家電、3C、畫作、電子閱讀器等商品,除商品本身有瑕疵外,退回之商品已拆封(除運送用之包裝外一切包裝、包括但不限於封膜等接觸商品內容之包裝部分、移除封條、拆除吊牌、拆除貼膠或標籤等情形)或已非全新狀態(外觀有刮傷、破損、受潮等)與包裝不完整(缺少商品、附件、原廠外盒、保護袋、配件紙箱、保麗龍、隨貨文件、贈品等)。
- 退貨程序請參閱【客服專區→常見問題→誠品線上退貨退款】之說明。


