Every moment, the data servers store huge amount of data which are produced by organizations. Recently, in the fourth industry revaluation, there is a very huge amount of created and generated data by computer machine such as GPS, sensors, website or application systems or by people through social media (twitter, Facebook, Instagram, or LinkedIn).
In addition, challenges and opportunities for creating value of data by establishing modern BI processes. 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.
BUSINESS INTELLIGENCE STRATEGY AND BIG DATA ANALYTICS PDF HOW TO
The main problem is how to use these new technologies for creating data-driven value for modern BI. 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. Traditional BI focuses on collecting, extracting, and organizing data for enabling efficient and professional query processing to get insights from historical data. BI is the process on available data to extract, analyze and predict business-critical insights.
Currently, business intelligence (BI) systems are used extensively in many business areas that are based on making decisions to create a value.