Proposal of Analytical Model for Business Problems Solving in Big Data Environment (CROSBI ID 58335)
Prilog u knjizi | izvorni znanstveni rad
Podaci o odgovornosti
Klepac, Goran
engleski
Proposal of Analytical Model for Business Problems Solving in Big Data Environment
This chapter proposes a new analytical approach that consolidates the traditional analytical approach for solving problems such as churn detection, fraud detection, building predictive models, segmentation modeling with data sources, and analytical techniques from the big data area. Presented are solutions offering a structured approach for the integration of different concepts into one, which helps analysts as well as managers to use potentials from different areas in a systematic way. By using this concept, companies have the opportunity to introduce big data potential in everyday data mining projects. As is visible from the chapter, neglecting big data potentials results often with incomplete analytical results, which imply incomplete information for business decisions and can imply bad business decisions. The chapter also provides suggestions on how to recognize useful data sources from the big data area and how to analyze them along with traditional data sources for achieving more qualitative information for business decisions.
Big data
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Podaci o prilogu
209-228.
objavljeno
Podaci o knjizi
Strategic Data-Based Wisdom in the Big Data Era
John Girard (Middle Georgia State College, USA), Deanna Klein (Minot State University, USA) and Kristi Berg (Minot State University, USA)
IGI Global
2015.
9781466681224