Indicating Financial Health of Czech Companies with the Support of Modern Methods of Multidimensional Data Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F17%3A00004339" target="_blank" >RIV/46747885:24220/17:00004339 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24310/17:00004339
Result on the web
<a href="https://sgemworld.at/ssgemlib/spip.php?article4801&lang=en" target="_blank" >https://sgemworld.at/ssgemlib/spip.php?article4801&lang=en</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/sgemsocial2017/13/s03.045" target="_blank" >10.5593/sgemsocial2017/13/s03.045</a>
Alternative languages
Result language
angličtina
Original language name
Indicating Financial Health of Czech Companies with the Support of Modern Methods of Multidimensional Data Processing
Original language description
The current economy is a living organism and, the conditions affecting the financial health of companies are changing dynamically. There are many ways how to evaluate the financial health of a company. In addition to the use of the ratio indicators, complex models using one numeric indicator expressing the financial health of the company can be applied. A major problem for the company’s financial health research has so far been the lack of relevant electronic data over a longer timeframe. This situation is changing significantly today. One source that can be used in the Czech Republic now is the MagnusWeb database of the Bisnode company. This database provides a relatively large amount of data that can be tested and examined. With the development of computer science, applications for multi-dimensional data processing in the form of neural networks, clustering, genetic algorithms or decision trees can be used for this study. The basic element of this article is the research of financial health of companies in the Czech Republic using advanced methods of multi-dimensional data analysis.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
50206 - Finance
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů