{"title":"Integrated Architecture of Data Warehouse with Business Intelligence Technologies","authors":"C. A. U. Hassan, Rizwana Irfan, M. A. Shah","doi":"10.23919/IConAC.2018.8749017","DOIUrl":null,"url":null,"abstract":"Business Intelligence (BI) is the process to extract information from data then get knowledge from that information to take the decisions. This paper shows the effectiveness of BI technologies with data warehouse, for decision making. In this paper, we deploy the Integrated Proposed Architecture (IPA) on W category hospital in order to manage and monitor the data effectively for analysis and decision making. The accuracy of IPA is 93% in term of information analysis that is 6% better than Traditional Data warehouse Architecture (TDA). The IPA is also able to support dashboard management, multidimensional data model, perform online analytical processing, perform user authentication and generate dynamic reports via BI technologies.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 24th International Conference on Automation and Computing (ICAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/IConAC.2018.8749017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Business Intelligence (BI) is the process to extract information from data then get knowledge from that information to take the decisions. This paper shows the effectiveness of BI technologies with data warehouse, for decision making. In this paper, we deploy the Integrated Proposed Architecture (IPA) on W category hospital in order to manage and monitor the data effectively for analysis and decision making. The accuracy of IPA is 93% in term of information analysis that is 6% better than Traditional Data warehouse Architecture (TDA). The IPA is also able to support dashboard management, multidimensional data model, perform online analytical processing, perform user authentication and generate dynamic reports via BI technologies.