DocumentCode :
3649245
Title :
Intelligent Dashboard for SME Managers. Architecture and functions
Author :
Jerzy Korczak;Helena Dudycz;Mirosław Dyczkowski
Author_Institution :
Wroclaw University of Economics ul. Komandorska 118/120 53-345 Wroclaw, Poland
fYear :
2012
Firstpage :
1003
Lastpage :
1007
Abstract :
The article presents the main features of the InKoM project, whose aim is the realization and implementation of an Intelligent Dashboard for Managers. This project is conducted by a consortium led by the University of Economics in Wroclaw, and the other principal member is the company UNIT4 TETA BI Center. Credit Agricole Polska also participates in the project. As part of the project, an innovative Intelligent Dashboard for Managers will be developed, which is on one hand a complement, and on the other a development of the TETA BI system, that is the set of business intelligence tools offered on the market by UNIT4 TETA BI Center. The innovativeness of the InKoM system involves particularly the wide use of methods, techniques and tools for visual data mining of economic and financial knowledge. The InKoM will offer managers especially from micro, small and medium enterprises analytical and information functions not previously available to them, thereby increasing the quality, effectiveness, and efficiency of the decision making process.
Keywords :
"Economics","Bismuth","Business","Ontologies","Semantics","Data mining"
Publisher :
ieee
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
Print_ISBN :
978-1-4673-0708-6
Type :
conf
Filename :
6354380
Link To Document :
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