{"title":"Mining Mavericks -一种数据驱动的方法来检测支出泄漏","authors":"Priyadarshi, Anish Chaugule, M. Natu","doi":"10.1109/DSAA53316.2021.9564194","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":129612,"journal":{"name":"2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mining Mavericks - A data-driven approach to detect spend leakage\",\"authors\":\"Priyadarshi, Anish Chaugule, M. Natu\",\"doi\":\"10.1109/DSAA53316.2021.9564194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":129612,\"journal\":{\"name\":\"2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSAA53316.2021.9564194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSAA53316.2021.9564194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.