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.
Highlights
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 [1]
Experience evaluation shows that when cold storage is located on commodity ash, Siberia can lead to an appropriate productivity loss of 7–14%, given that cold data access rates are for an improved main memory DB
Will we only have one universe? Or does force drive us into madness and transform us into “invaders of the universe” and penetrate the universes of others, based on greed, against the desire for more force? Will we be good? Or evil? Or both? Will we be able to achieve wisdom, and secure peaceful and harmonious coexistence with all other demigods, or will we go to war? Or will we merge into one excessive force? Or are we tired one day from the divine and start the final game again, and transform ourselves into a universe that we will have to evolve for billions of years for us to be re-created one day? Maybe this is exactly what is happening
Summary
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) [1]. The organization can improve the business productive process due to this analysis of unstructured data that contains valuable information It is significant for education, security, healthcare, and manufacturing. Business Intelligence (BI) can be described as an automated process for deriving models and insights form raw data that are collected from heterogeneous data sources and are organized in a systematic way for improving business operations and processes. The main challenge with this three-tier architecture, is how to fulfill service level objectives such as minimal throughput rates and maximal response time This is because, the data storage management at the low-lever layers is hidden from the application layer which makes some difficulties to predict execution times. While users have gained immense value from traditional platforms for historical reports capabilities, there are more users require data analysis technologies that need direct access to data without depending on IT professionals. Additional users need capabilities of self-service for linking and analyzing specific datasets depend on their own understanding, for any purpose, and at any time
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