{"title":"五层商业智能体系结构","authors":"I. Ong, P. Siew, S. Wong","doi":"10.5171/2011.695619","DOIUrl":null,"url":null,"abstract":"Many organizations today have adopted business intelligence (BI) as a catalyst to meet specific business needs and to improve organizational effectiveness. Although BI has become more robust and pervasive, some organizations are still unable to maximize the return on their BI investments. One contributing reason is the lack of a good guiding BI architecture to support the implementation of such a system. Having a solid architecture can help organizations to better control the implementation process as well as the operation of the entire BI environment. A review of the existing literature shows that although the importance of a good BI architecture is non-arguable, research in this area is still lacking. To fill the gap, this paper proposes a framework of BI architecture which consists of five layers: data source, ETL, data warehouse, end user","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":"{\"title\":\"A Five-Layered Business Intelligence Architecture\",\"authors\":\"I. Ong, P. Siew, S. Wong\",\"doi\":\"10.5171/2011.695619\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many organizations today have adopted business intelligence (BI) as a catalyst to meet specific business needs and to improve organizational effectiveness. Although BI has become more robust and pervasive, some organizations are still unable to maximize the return on their BI investments. One contributing reason is the lack of a good guiding BI architecture to support the implementation of such a system. Having a solid architecture can help organizations to better control the implementation process as well as the operation of the entire BI environment. A review of the existing literature shows that although the importance of a good BI architecture is non-arguable, research in this area is still lacking. To fill the gap, this paper proposes a framework of BI architecture which consists of five layers: data source, ETL, data warehouse, end user\",\"PeriodicalId\":187676,\"journal\":{\"name\":\"Communications of the IBIMA\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"40\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications of the IBIMA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5171/2011.695619\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications of the IBIMA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5171/2011.695619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Many organizations today have adopted business intelligence (BI) as a catalyst to meet specific business needs and to improve organizational effectiveness. Although BI has become more robust and pervasive, some organizations are still unable to maximize the return on their BI investments. One contributing reason is the lack of a good guiding BI architecture to support the implementation of such a system. Having a solid architecture can help organizations to better control the implementation process as well as the operation of the entire BI environment. A review of the existing literature shows that although the importance of a good BI architecture is non-arguable, research in this area is still lacking. To fill the gap, this paper proposes a framework of BI architecture which consists of five layers: data source, ETL, data warehouse, end user