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  1. 1 Ιαν 2004 · Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers.

  2. 1 Ιαν 2009 · Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers.

  3. 1 Δεκ 2012 · Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be...

  4. Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers, in order to improve the timeliness and quality of the decision-making process (Negash, 2004).

  5. The paper explores the concepts of BI, its components, emergence of BI, benefits of BI, factors influencing BI, technology requirements, designing and implementing business intelligence, and various BI techniques. Keywords:business intelligence, data, support system.

  6. ABSTRACT. Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process.

  7. This document demystifies modern business intelligence technologies and helps explain how the modern platform can co-exist in a traditional BI reporting environment to expand the capabilities of the businesses in the realm of data exploration and advanced analytics.

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