MIT Sloan 管理评论· Jeffrey D. Camm, Michael J. Fry, and Scott M. Shafer. <p>Jeffrey D. Camm is senior associate dean of faculty and research, a professor of analytics, and the Inmar Presidential Chair in Analytics at the Wake Forest University School of Business. Michael J. Fry is a professor of operations, business analytics, and information systems and senior director of the centers and institutes in the Lindner College of Business at the University of Cincinnati. Scott M. Shafer is senior associate dean of academic programs and a professor of operations management at the Wake Forest University School of Business.</p>
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为什么光有数据建模还不够：决策科学如何补上数据科学的缺口
Why Data Modeling Is Not Enough
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研究表明 60% 至 85% 的数据科学项目以失败告终，原因多不是算法差，而是数据科学家专注预测与准确率指标、管理者需要的是库存与利润等经营决策，双方语言不通导致模型闲置。决策科学转而建模管理者必须做出的决策，把数据模型分析与业务目标对齐。作者建议：若分析投入未带来 ROI，就停止只建模数据，开始建模决策。
来源：MIT Sloan 管理评论 · sloanreview.mit.edu