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Inteligentny kokpit menedżerski jako innowacyjny system wspomagający zarządzanie w MŚP

100%

Korczak J. , Dudycz H. , Dyczkowski M.

Informatyka Ekonomiczna

2014

nr 1(31)

288-303

The article presents the key elements of the Intelligent Management Dashboard InKoM. The InKoM system was designed, built and implemented in the TETA BI environment as the fundamental product of a project which research and commercialization phases were conducted in 2012-2014. The innovative Intelligent Dashboard for SMEs Managers developed by the consortium is both a supplement to and an extention of the TETA BI system, which is a set of business intelligence solutions marketed by UNIT4 TETA BI Center. The major innovation of the InKoM system lies in a very wide application of methods, techniques and tools for visual data exploration in the field of economic and financial knowledge. The creators of the system believe that the approach they adopted and the solutions they developed provide managers of SMEs with some advanced analytical and information tools which had not been available for them earlier and which improve the quality, effectiveness and efficiency of decision-making processes. It should be added that the project InKoM and the system created under it are the examples of collaboration and knowledge transfer between a scientific research institution, a commercial manufacturer of business software and business practitioners, cooperation without which it is impossible to develop innovative solutions to support management.

HEURISTIC EVALUATION OF VISUALIZATION IN THE SEMANTIC SEARCHING FOR ECONOMIC INFORMATION. PRELIMINARY ANALYSIS OF THE RESEARCH RESULT

100%

Dudycz H.

Information Systems in Management

2012

tom 1

nr 2

100-111

Economic indicators provide much information concerning the functioning of an enterprise. Their usefulness depends also on decision-makers' comprehension of structural and semantic connections existing between indicators. Visualization of a semantic network in the topic map allows users to more swiftly notice and understand various relations. The main goal of this paper is to discuss the research on heuristic evaluation of visualization in the semantic searching for economic information. This study consists of three experiments with the participants. We used the two author’s applications of the ontologies for return on investment indicator and for early warning system. In this paper we analyze and compare the results of these experiments.