{"title":"商业智能过程建模:迈向智能数据驱动策略","authors":"A. Najdawi, Sree karan Patkuri","doi":"10.1109/ICCIKE51210.2021.9410804","DOIUrl":null,"url":null,"abstract":"This paper aims to provide an updated conceptualization of the Business Intelligence Process in general and how the operational data are transformed into valuable insights to enhance business processes design and achieve strategic competitive advantage. The current research will review previous studies on effectively adopting and implementing data-driven strategies for intelligent decision-making using emerging technologies such as Applied Artificial Intelligence, Machine Learning, and Big Data Analytics. This work’s contribution will be an updated conceptual framework of the modern Business Intelligence Process constructed using the concept mapping tool. Such a conceptual framework will provide a fresh look into future research projects in this area and help BI practitioners and organizations plan, develop, and implement big data strategies to gain a competitive advantage in decision-making and innovation over their competitors. Additionally, this paper explores the process of Intelligent Business decisions, the various tools, techniques used for making an Intelligent Business decision.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling Business Intelligence Process: Toward Smart Data-Driven Strategies\",\"authors\":\"A. Najdawi, Sree karan Patkuri\",\"doi\":\"10.1109/ICCIKE51210.2021.9410804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to provide an updated conceptualization of the Business Intelligence Process in general and how the operational data are transformed into valuable insights to enhance business processes design and achieve strategic competitive advantage. The current research will review previous studies on effectively adopting and implementing data-driven strategies for intelligent decision-making using emerging technologies such as Applied Artificial Intelligence, Machine Learning, and Big Data Analytics. This work’s contribution will be an updated conceptual framework of the modern Business Intelligence Process constructed using the concept mapping tool. Such a conceptual framework will provide a fresh look into future research projects in this area and help BI practitioners and organizations plan, develop, and implement big data strategies to gain a competitive advantage in decision-making and innovation over their competitors. Additionally, this paper explores the process of Intelligent Business decisions, the various tools, techniques used for making an Intelligent Business decision.\",\"PeriodicalId\":254711,\"journal\":{\"name\":\"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIKE51210.2021.9410804\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIKE51210.2021.9410804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling Business Intelligence Process: Toward Smart Data-Driven Strategies
This paper aims to provide an updated conceptualization of the Business Intelligence Process in general and how the operational data are transformed into valuable insights to enhance business processes design and achieve strategic competitive advantage. The current research will review previous studies on effectively adopting and implementing data-driven strategies for intelligent decision-making using emerging technologies such as Applied Artificial Intelligence, Machine Learning, and Big Data Analytics. This work’s contribution will be an updated conceptual framework of the modern Business Intelligence Process constructed using the concept mapping tool. Such a conceptual framework will provide a fresh look into future research projects in this area and help BI practitioners and organizations plan, develop, and implement big data strategies to gain a competitive advantage in decision-making and innovation over their competitors. Additionally, this paper explores the process of Intelligent Business decisions, the various tools, techniques used for making an Intelligent Business decision.