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Data Mining meets Decision Making: a Case Study Perspective

机译:数据挖掘满足决策:案例研究的角度

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Data Mining (DM) technologies have been employed within the specialized domains of customer relationship and risk management for over a decade. However, it has been only recently that DM techniques have begun to enter the main stream of optimization activities often spurred on by recent external influences such as the challenging economic climate. While increased use of DM offers many benefits to organizations, communicating the value of DM requires an approach beyond over simplistic Return on Investment (ROI) calculations. The study described in this paper aimed to determine if Value Analysis (VA) as outlined by Keen(Keen 1981) may serve as an appropriate approach to evaluating DM and gaining executive alignment. A case study methodology will be employed to illustrate how a fresh perspective of this theory may address the challenges in communicating DM value.
机译:数据挖掘(DM)技术已在客户关系和风险管理的专业领域中使用了十多年。但是,直到最近,DM技术才开始进入优化活动的主流,而优化活动通常是受近期外部影响(例如充满挑战的经济环境)的刺激。虽然增加使用DM可以为组织带来很多好处,但要传达DM的价值,还需要一种超越简单的投资回报(ROI)计算的方法。本文所述的研究旨在确定Keen(Keen 1981)概述的价值分析(VA)是否可以作为评估DM并获得执行人员一致的适当方法。将采用案例研究方法论来说明该理论的新观点如何解决传达DM价值的挑战。

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