Abstract
Currently, business intelligence (BI) systems are used extensively in many business areas that are based on making decisions to create a value. BI is the process on available data to extract, analyze and predict business-critical insights. Traditional BI focuses on collecting, extracting, and organizing data for enabling efficient and professional query processing to get insights from historical data. Due to the existing of big data, Internet of Things (IoT), artificial intelligence (AI), and cloud computing (CC), BI became more critical and important process and received more great interest in both industry and academia fields. The main problem is how to use these new technologies for creating data-driven value for modern BI. In this chapter, to meet this problem, the importance of big data analytics, data mining, AI for building and enhancing modern BI will be introduced and discussed. In addition, challenges and opportunities for creating value of data by establishing modern BI processes.
Reference48 articles.
1. Wael M.S. Yafooz Abidin, S. Z., & Omar, N. (2011, November). Challenges and issues on online news management. In Control System, Computing and Engineering (ICCSCE), 2011 IEEE International Conference on (pp. 482-487). IEEE
2. https://technative.io/unstructured-data-the-hidden-threat-in-digital-business/
3. Balachandran, B. M., & Prasad, S. (2017). Challenges and Benefits of Deploying Big Data Analytics in the Cloud for Business Intelligence. Procedia Computer Science, 112, 1112-1122
4. Kimble, C. and Milolidakis, G. Big Data and Business Intelligence: Debunking the Myths. Global Business and Organizational Excellence. 35, (2015), 23 – 34
5. Richards, G., Yeoh, W., Chong, A. Y. L., & Popovic, A. (2017). Business intelligence effectiveness and corporate performance management an empirical analysis. Journal of Computer Information Systems, 1-9
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献