Harvard Business Review IdeaCast 09月29日
数据驱动决策:如何避免误用
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本文探讨了领导者对于新数据的两种常见反应:过度依赖或完全忽视。哈佛商学院教授艾米·埃德蒙森和约翰霍普金斯凯瑞商学院教授迈克尔·卢卡提出了如何正确解读、质疑和参与数据与研究的策略,以促进商业决策。

We live in an age where we have more data than ever. But most leaders have two strong reactions to new data. Either they rely too heavily on studies or information to make decisions. Or they dismiss outright data that could be very relevant. The better way is learning how to interpret, question, and engage with data and studies, say Harvard Business School professor Amy Edmondson and Johns Hopkins Carey Business School professor Michael Luca. They break down the essential analytical tools to assess and interrogate data to be able to apply it to business decisions. Edmondson and Luca are coauthors of the HBR article "Where Data-Driven Decision-Making Can Go Wrong."

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数据驱动决策 数据分析 商业决策 艾米·埃德蒙森 迈克尔·卢卡
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