Hicham El Bousty, S. Krit, M. Elasikri, Hassan Dani, K. Karimi, K. Bendaoud, M. Kabrane
{"title":"大数据时代的商业智能研究:概念、利益和挑战","authors":"Hicham El Bousty, S. Krit, M. Elasikri, Hassan Dani, K. Karimi, K. Bendaoud, M. Kabrane","doi":"10.1145/3234698.3234723","DOIUrl":null,"url":null,"abstract":"Business intelligence suppose retrieving value from data floating in the organization environment. It provides methods and tools for collecting, storing, formatting and analyzing data for the purpose of helping managers in decision-making. At the start, only data from enterprise internal activities were examined. Now and in this turbulent business environment, organizations should incorporate analysis of the huge amount of external data gathered from multifarious sources. It is argued that BI systems accuracy depends on quantity of data at their disposal, yet some storage and analysis methods are phased out and should be reviewed by academics and practitioners. This paper presents an overview of BI challenges in the context of Big Data (BD) and some available solutions provided, either by using Cloud Computing (CC) or improving Data Warehouse (DW) efficiency.","PeriodicalId":144334,"journal":{"name":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Investigating Business Intelligence in the era of Big Data: concepts, benefits and challenges\",\"authors\":\"Hicham El Bousty, S. Krit, M. Elasikri, Hassan Dani, K. Karimi, K. Bendaoud, M. Kabrane\",\"doi\":\"10.1145/3234698.3234723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Business intelligence suppose retrieving value from data floating in the organization environment. It provides methods and tools for collecting, storing, formatting and analyzing data for the purpose of helping managers in decision-making. At the start, only data from enterprise internal activities were examined. Now and in this turbulent business environment, organizations should incorporate analysis of the huge amount of external data gathered from multifarious sources. It is argued that BI systems accuracy depends on quantity of data at their disposal, yet some storage and analysis methods are phased out and should be reviewed by academics and practitioners. This paper presents an overview of BI challenges in the context of Big Data (BD) and some available solutions provided, either by using Cloud Computing (CC) or improving Data Warehouse (DW) efficiency.\",\"PeriodicalId\":144334,\"journal\":{\"name\":\"Proceedings of the Fourth International Conference on Engineering & MIS 2018\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fourth International Conference on Engineering & MIS 2018\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3234698.3234723\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fourth International Conference on Engineering & MIS 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3234698.3234723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigating Business Intelligence in the era of Big Data: concepts, benefits and challenges
Business intelligence suppose retrieving value from data floating in the organization environment. It provides methods and tools for collecting, storing, formatting and analyzing data for the purpose of helping managers in decision-making. At the start, only data from enterprise internal activities were examined. Now and in this turbulent business environment, organizations should incorporate analysis of the huge amount of external data gathered from multifarious sources. It is argued that BI systems accuracy depends on quantity of data at their disposal, yet some storage and analysis methods are phased out and should be reviewed by academics and practitioners. This paper presents an overview of BI challenges in the context of Big Data (BD) and some available solutions provided, either by using Cloud Computing (CC) or improving Data Warehouse (DW) efficiency.