Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value
| Autor: | Ahmed A.A. Gad-Elrab |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry 05 social sciences Big data 02 engineering and technology Data science Data-driven 0502 economics and business Value (economics) Business intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business 050203 business & management |
| Zdroj: | E-Business-Higher Education and Intelligence Applications |
| DOI: | 10.5772/intechopen.97374 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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