A Systematic mapping Review of Business Intelligence
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Abstract
Experience in software engineering in general and Business Intelligence(BI) and analytics, in particular, involved various approaches, models, tools and criteria to select and implement the right BI system that meets the decision-maker expectations. Those multiple disciplines were appointed in the BI industry, addressed in research, and depicted thought surveys conducted by well-known advisor organizations similar to Gartner, Forester, and others. However, to our knowledge, few systematic reviews have been conducted to identify and analyze Business Intelligence (BI) disciplines explored and cited in the literature.
This paper aims to identify and analyze BI and analytics publications according to five perspectives: publication channel, type of contribution, trends over time, domain and covered area. It performs a systematic mapping review of papers published in the period 2000–2017 and reviews them based on an automated search. This mapping study revealed that most researchers focus on proposing or analyzing models and approaches related to BI systems.
Keywords
Analytics, trends, business intelligence, Software engineering, Systematic Review.
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