{"title":"应用商业智能技术分析IT项目管理数据","authors":"A. Tasistro","doi":"10.1109/DMIA.2015.15","DOIUrl":null,"url":null,"abstract":"The IT management project must face many challenges, including the identification of the main criteria that lead to success or failure. Project managers generate a lot of data, which is stored in different formats, but in most organizations its use is not systematized with the aim of \"learning from data\" and generating reusable knowledge. The objective of this article is to present a framework based on Business Intelligence techniques that contributes improving the management of IT projects.","PeriodicalId":387758,"journal":{"name":"2015 International Workshop on Data Mining with Industrial Applications (DMIA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Business Intelligence Techniques to Analyze IT Project Management Data\",\"authors\":\"A. Tasistro\",\"doi\":\"10.1109/DMIA.2015.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The IT management project must face many challenges, including the identification of the main criteria that lead to success or failure. Project managers generate a lot of data, which is stored in different formats, but in most organizations its use is not systematized with the aim of \\\"learning from data\\\" and generating reusable knowledge. The objective of this article is to present a framework based on Business Intelligence techniques that contributes improving the management of IT projects.\",\"PeriodicalId\":387758,\"journal\":{\"name\":\"2015 International Workshop on Data Mining with Industrial Applications (DMIA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Workshop on Data Mining with Industrial Applications (DMIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMIA.2015.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Workshop on Data Mining with Industrial Applications (DMIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMIA.2015.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Business Intelligence Techniques to Analyze IT Project Management Data
The IT management project must face many challenges, including the identification of the main criteria that lead to success or failure. Project managers generate a lot of data, which is stored in different formats, but in most organizations its use is not systematized with the aim of "learning from data" and generating reusable knowledge. The objective of this article is to present a framework based on Business Intelligence techniques that contributes improving the management of IT projects.