A Proactive Approach for BI

A Proactive Approach for BI

Stanley Loh (Lutheran University of Brazil (ULBRA), Brazil)
Copyright: © 2015 |Pages: 15
DOI: 10.4018/978-1-4666-6477-7.ch005
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Abstract

A framework to develop proactive BI is presented and discussed in this chapter. In a proactive process, analysis develops as a scientific investigation or research, where analysts must discover an initial set of hypotheses and then test or evaluate the hypotheses. The steps of the framework are presented and ways to perform each step are discussed. Data mining techniques are associated to this proactive paradigm, exploring how they can be applied in each step of the framework. Although there are not yet experiments that validate the correctness of this framework, the objective of the chapter is to focus attention on the differences in the paradigms, discuss ways to perform BI in a proactive way, and alert analysts and executives for practical experiences with the proactive paradigm.
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Business Intelligence As A Discovery Process

The process of BI is, in a certain way, similar to a musician looking for one note that connects two parts of a music, or a criminal investigator searching for suspects, or a mechanic analyzing the cause of a defect in a machine, or an artist searching for a way to express his/her ideas and mental emotions. The search for causes of problems or for best practices depends on mental processes, most of times not well understood by humans.

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