The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Business Intelligence and Data Mining
Abstract
Whenever decision makers find out that they want to know more about how the business works and progresses, or why customers do what they do, then data miners are summoned, and business intelligence is to be built or altered. Data mining aims at retrieving valid, interesting, explicable connection between key factors for either operative reporting or supporting strategic planning. While data mining discovers static connections between factors, business intelligence visualizes relevant data for decision makers in order to make them identify fast changes and analyze precisely business states. In this chapter, the authors give a short introduction for data oriented decision support systems with data mining and business intelligence in it. While these techniques are widely used in business processes, there are much more bad practices than good ones. We try to make an attempt to demystify and clear the myths about these technologies, and determine who should and how (not) to use them.
Related Content
|
Emrah Arğın.
© 2022.
16 pages.
|
|
Ebru Gülbuğ Erol, Mustafa Gülsün.
© 2022.
17 pages.
|
|
Yeşim Şener.
© 2022.
18 pages.
|
|
Salim Kurnaz, Deimantė Žilinskienė.
© 2022.
20 pages.
|
|
Dorothea Maria Bowyer, Walid El Hamad, Ciorstan Smark, Greg Evan Jones, Claire Beattie, Ying Deng.
© 2022.
29 pages.
|
|
Savas S. Ates, Vildan Durmaz.
© 2022.
24 pages.
|
|
Nusret Erceylan, Gaye Atilla.
© 2022.
20 pages.
|
|
|