Mining Mavericks -一种数据驱动的方法来检测支出泄漏

Priyadarshi, Anish Chaugule, M. Natu
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引用次数: 0

摘要

采购到支付过程中的支出泄漏是全球组织面临的突出挑战之一。鉴于采购过程的复杂动态,支出分析在很大程度上依赖于专家的隐性知识。在本文中,我们使用数据驱动的方法解决了检测异常花费的问题。我们提出的方法来模拟采购过程的行为动力学,检测特立独行,并推荐替代的采购方案。我们通过实际案例研究证明了该解决方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining Mavericks - A data-driven approach to detect spend leakage
Spend leakage in the procure-to-pay process is one of the prominent challenges that organizations across the globe face. Given the complex dynamics of the procurement process, spend analysis heavily relies on the tacit knowledge of experts. In this paper, we address the problem of detecting maverick spends using a data driven approach. We present approaches to model the behavior dynamics of the procurement process, detect mavericks, and recommend alternate procurement options. We demonstrate the effectiveness of this solution through a real-world case-study.
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