When selecting assessment tools to inform better decisions about their future paths, managers face a wide range of possibilities - some of which are well known, while others are in the early stages of development. The authors give a guide to prognosis and insider tips techniques and technologies. They cover prediction tools, including attributized Bayesian analysis, biological analysis of the responses, cluster analysis, collaborative filtering, content-based filtering / decision trees, neural network analysis, forecasting (or opinions) markets, regression analysis, a social network based on the recommendations and text analysts. With every potential tool, they briefly describe a technique that uses it and for what purpose, its strengths and weaknesses, and its prospects as a prediction tool. Finally, the authors propose to specify the best time in the decision to begin using the tool. "Hide
by Thomas H. Davenport, Jeanne G. Harris Source: MIT Sloan Management Review 5 pages. Publication Date: January 1, 2009. Prod. #: SMR299-PDF-ENG
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