{"title":"中小企业商业智能与分析研究综述","authors":"Morgan Ericsson, Tina Persson","doi":"10.53759/5181/jebi202202009","DOIUrl":null,"url":null,"abstract":"This paper provides a critical review of the adoption of Business Intelligence and Business Analytics (BI&BA)\nin SMEs. Business Intelligence (BI), Business Analytics (BA), Small and Medium-sized Enterprises (SMEs), and their\nrespective combinations were among the keywords searched to find as many relevant articles as possible for this review.\nBusiness Analytics (BA) relies heavily on predictive and explanatory modeling, fact-based management, numerical\nanalytic and analytical modeling to guide decision-making. Business intelligence (BI), on the other hand, help\nentrepreneurs manage their budgets and allocate resources more effectively. In this paper, BI&BA (Business Intelligence\nand Business Analytics) has been utilized to cover these data-centric criteria to enhancing corporate decision-making\nprocess within SMEs. BI&BA seems to be a top technical option for enhancing competitive advantage in SMEs, which\nhave not embraced the BI&BA technology in their business activities. This paper further reviews the assumptions from\nvarious aspects such as BI&BA elements, BI&BA solution, BI&BA implementation, BI&BA benefits, BI&BA\napplications, BI&BA adoption, cloud BI&BA, and mobile BI&BA.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Review of Business Intelligence and Analytics in Small and Mediumsized Enterprises\",\"authors\":\"Morgan Ericsson, Tina Persson\",\"doi\":\"10.53759/5181/jebi202202009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides a critical review of the adoption of Business Intelligence and Business Analytics (BI&BA)\\nin SMEs. Business Intelligence (BI), Business Analytics (BA), Small and Medium-sized Enterprises (SMEs), and their\\nrespective combinations were among the keywords searched to find as many relevant articles as possible for this review.\\nBusiness Analytics (BA) relies heavily on predictive and explanatory modeling, fact-based management, numerical\\nanalytic and analytical modeling to guide decision-making. Business intelligence (BI), on the other hand, help\\nentrepreneurs manage their budgets and allocate resources more effectively. In this paper, BI&BA (Business Intelligence\\nand Business Analytics) has been utilized to cover these data-centric criteria to enhancing corporate decision-making\\nprocess within SMEs. BI&BA seems to be a top technical option for enhancing competitive advantage in SMEs, which\\nhave not embraced the BI&BA technology in their business activities. This paper further reviews the assumptions from\\nvarious aspects such as BI&BA elements, BI&BA solution, BI&BA implementation, BI&BA benefits, BI&BA\\napplications, BI&BA adoption, cloud BI&BA, and mobile BI&BA.\",\"PeriodicalId\":309328,\"journal\":{\"name\":\"Journal of Enterprise and Business Intelligence\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Enterprise and Business Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53759/5181/jebi202202009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Enterprise and Business Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53759/5181/jebi202202009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Review of Business Intelligence and Analytics in Small and Mediumsized Enterprises
This paper provides a critical review of the adoption of Business Intelligence and Business Analytics (BI&BA)
in SMEs. Business Intelligence (BI), Business Analytics (BA), Small and Medium-sized Enterprises (SMEs), and their
respective combinations were among the keywords searched to find as many relevant articles as possible for this review.
Business Analytics (BA) relies heavily on predictive and explanatory modeling, fact-based management, numerical
analytic and analytical modeling to guide decision-making. Business intelligence (BI), on the other hand, help
entrepreneurs manage their budgets and allocate resources more effectively. In this paper, BI&BA (Business Intelligence
and Business Analytics) has been utilized to cover these data-centric criteria to enhancing corporate decision-making
process within SMEs. BI&BA seems to be a top technical option for enhancing competitive advantage in SMEs, which
have not embraced the BI&BA technology in their business activities. This paper further reviews the assumptions from
various aspects such as BI&BA elements, BI&BA solution, BI&BA implementation, BI&BA benefits, BI&BA
applications, BI&BA adoption, cloud BI&BA, and mobile BI&BA.