{"title":"教与学商业智能:商业评估最后但并非最不重要","authors":"Esther Hochsztain, A. Tasistro","doi":"10.1109/DMIA.2015.19","DOIUrl":null,"url":null,"abstract":"Most data mining, business intelligence and data warehousing university courses are focused in techniques and modeling. But they fail in teaching business understanding, prototyping and how to involve business users from the first stages of a business intelligence project. In this paper we review research related to business intelligence teaching identifying strengths and weaknesses of most common ways of teaching and learning. Following we describe our experience teaching business intelligence in different areas. We continue proposing a method to test the project business applications and the return of investment study.","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":"0","resultStr":"{\"title\":\"Teaching an Learning Business Intelligence: Business Evaluation Last but Not Least\",\"authors\":\"Esther Hochsztain, A. Tasistro\",\"doi\":\"10.1109/DMIA.2015.19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most data mining, business intelligence and data warehousing university courses are focused in techniques and modeling. But they fail in teaching business understanding, prototyping and how to involve business users from the first stages of a business intelligence project. In this paper we review research related to business intelligence teaching identifying strengths and weaknesses of most common ways of teaching and learning. Following we describe our experience teaching business intelligence in different areas. We continue proposing a method to test the project business applications and the return of investment study.\",\"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\":\"0\",\"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.2015.19\",\"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.2015.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Teaching an Learning Business Intelligence: Business Evaluation Last but Not Least
Most data mining, business intelligence and data warehousing university courses are focused in techniques and modeling. But they fail in teaching business understanding, prototyping and how to involve business users from the first stages of a business intelligence project. In this paper we review research related to business intelligence teaching identifying strengths and weaknesses of most common ways of teaching and learning. Following we describe our experience teaching business intelligence in different areas. We continue proposing a method to test the project business applications and the return of investment study.
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