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Abstract
The concept of business intelligence has drawn substantial attention of both academicians and practitioners. As one of the fastest eveloping business application areas, business intelligence has also created a trail of confusion regarding its role, potential, sources of value creation. This study aimed at elucidating the role of business intelligence in the near future through the analysis of the current research and practical trends. The current prevailing trends in business intelligence technologies and systems are mobile business intelligence, location intelligence, software as a service, big data and predictive analytics. The paper points out that human factors in business intelligence are often underestimated, while a thorough consideration of their role should create additional ground for effective business intelligence applications. Some of the important considerations regarding human factors, such as support of problem-solving patterns and an efficient coordination of business intelligence activities, are presented.
Highlights
Since its first mentioning in 1958 by the pioneer of information science H
Business intelligence is an umbrella term that covers transformation from data to knowledge, insight, decisions and profitable actions conducted by people using certain technologies, tools, rules, methods, and processes
There exists a general shift in the analytical power and ownership from IT towards business, empowering the business to put pressure on business intelligence (BI) producers
Summary
Since its first mentioning in 1958 by the pioneer of information science H. BI is an umbrella term covering many technologies, e.g., online analytical processing, data mining, business performance management, data warehousing, business analytic tools, etc., which are complex enough to be stand-alone images of information science. Rather typically, uses the following broad definition: business intelligence is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making (Evelson, Nicolson, 2008). Decomposing these few selected definitions empowers to comprehend the underlying structure of BI. To complete the transformation from data to knowledge and decisions, people use certain technologies, processes, tools and rules
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