You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: A Review on Business Intelligence and Big Data 
Chapter Title:  Business Intelligence 
1. Abstract of Cited Paper (BIB001):  BI technologies are essential to running today's businesses and this technology is going through sea changes. 
2. Abstract of Cited Paper (BIB002):  Although Business Intelligence and analytics (BI&A) is one of the most essential technologies to be purchased, the implementation of many BI&A projects fail. They do not fulfill the expectations of organizations. The reasons for this failure are not clear and still not well investigated. Resource-based View (RBV) and dynamic capability theory could help to overcome this gap and to provide an appropriate theoretical basis for future research in BI&A area. The research objectives for this study are: (1) conceptualization and discussion on BI&A dynamic capability, (2) building the comprehensive framework of BI&A capabilities. In order to address these objectives, the remainder of the paper is structured as follows: The first sections provide the theoretical foundations of BI&A, RBV and dynamic capability theory. Next, the BI&A capability was conceptualized. Finally, a model of BI&A as a dynamic capability was proposed. The study was based mainly on (1) a critical analysis of literature and (2) interviews with managers and experts in BI&A. The results of this study can be used by IT and business leaders as they plan and develop BI&A capabilities in their organizations.

Literature Review:
For last decades there has been tremendous increase and easiness in regards to creating, capturing, collecting and transferring the data. By this technological development demand and willingness, extracting business value hidden within this huge data piles has also increased. Not much more than a few decades ago, reaching information in itself was a matter. But nowadays although information is abundant and ubiquitous, having the right and relevant information is a matter as much as reaching it beforehand. At this point, organizations need more sophisticated tools for their managers and analysts to retrieve valuable information from huge data sets. and access rights. In short, BI can be described as the process of collection and transformation of data into valuable information and serving this information those who need. BI is being used in wide range of sectors such as Business, Security, Finance, Marketing, Law, Education, Visualization, Science, Engineering, Medicine, Bioinformatics, Health Informatics, Humanities, Retailing, and Telecommunications. It has proved that it is an essential system for organizations to gain a competitive advantage in the global market BIB003 and is regarded as a key approach to increasing enterprise's value. Redwood Capital forecasts that global BI market is expected to reach $20.81 billion by 2018. This growth equals 8.28% of annual growth rate date back 2013  . BI is just not used as a tool for better decision making for administrative purposes but also used by industries in order to extract useful patterns by outlier detection, process mining and clustering like improving combustion efficiency  . As BI main function is transforming data into information and further into knowledge, it is better to mention about these terms. The relationship between data, information, and knowledge is shown in Figure 4 . Data; is raw and by itself meaningless. It just exists in different formats. Information; gives data a context, so data becomes meaningful. For example, 1300 is meaningless data but "engine volume: 1300 cc" means more. We can find answers "who", "what", "where", and "when" questions from information BIB001 . For example; a relational database provides information by establishing relations between data items  . Knowledge; is the concept of understanding information based on recognized patterns in a way that provides insight to information and can be gained by learning. Wisdom; the quality of having experience, knowledge, and good judgment; the quality of being wise. Carter  proposes that decision making would no longer be based on guess-work, hunches or random facts. Instead, it would be based on good, clean, valuable information which is ready to consume that is what BI tries to fulfill. Chaudhuri et al. BIB002 reviewed current BI technologies in their paper. They mentioned specific technologies related to BI including ETL tools, complex event processing engines, and relational database management systems, MapReduce paradigms, OLAP servers, reporting servers, enterprise search engines, data mining, and text analytic engines. They also depicted a typical BI architecture and the way data flows from data sources such as operational databases, text documents, web pages towards data movement and streaming engines, DWs, mid-tier servers like OLAP server or report server and front-end applications. Although BI approves its value to the business, it is rare to come across successful BI implementation and use. Olszak BIB003 asserts that although BI is anessential technology to be procured, implementation of many BI projects fails. She concludes her work by stating that managers are not fully aware of BI capabilities and are deprived of using its whole potential. She also concludes BI is treated as a technology or tool to collect and analyze data but not as a supportive instrument for effective decision making or improving business processes and performances.