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Information System Assessment and Proposal of ICT Modification
Nečas, Miroslav ; Šebestová, Monika (referee) ; Novák, Lukáš (advisor)
The bachelor thesis is dealing with the evaluation and suggests changes of information system in the company DUHA-COLOR DV s.r.o. The theoretical part focuses on the explanation of basic concepts related to information systems and analyzes that were used in the work. The following part is devoted to the analysis of the company and the information system. The following are suggestions for possible changes in the system.
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Information System Assessment and Proposal of ICT Modification
Zezula, Dominik ; Šebestová, Monika (referee) ; Novák, Lukáš (advisor)
This thesis is focused on the considerations of Husqvarna Manufacturing CZ s.r.o.´s informational system and selecting the most appropriate improvements. The first part describes the theoretical background. The second part follows the analysis of the current state and requirements of the company. The main part is devoted to the design of own solution and the last one deals with the summary of changes. The output is an informati-on system enriched with improvements.
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The Use of Artificial Intelligence for Decision Making in the Firm
Března, Filip Samuel ; Šebestová, Monika (referee) ; Dostál, Petr (advisor)
Artificial intelligence and fuzzy logic related to it currently belong to very popular and rapidly expanding technological subjects. It finds use in many areas, which also include the process of prediction of future states based on specific finite input characteristics. This master’s thesis deals with predictions that are done in field of agricultural crops growing. Basic principles that are affecting mentioned agricultural growing are explained here, their meaning and significance are specified, these are later on perceived as a key aspect to creation of fuzzy models that are used for prediction. This process is specifically about finding out the most suitable crop on considered parcel for maximization of income. Second part of design section is dedicated to description of approaches for work with fuzzy models and is also used as demonstration of application created for purpose of this thesis.
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Robotic Process Automation
Mudrich, Tomáš ; Šebestová, Monika (referee) ; Novák, Lukáš (advisor)
This diploma thesis deals with robotic automation of selected business process using RPA technology. Robotic automation tools are compared with each other and two are subsequently selected for development of the automation – the UiPath software and the AiVIRO library. Realized automations are compared and evaluated in conclusion.
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Information System Assessment and Proposal of ICT Modification
Modrák, Karel ; Šebestová, Monika (referee) ; Novák, Lukáš (advisor)
The aim of the diploma thesis is an assessment of the information system of the company followed by the proposal of changes. The introductory part is focused on the theoretical basis of the work. The second part deals with selected company and its analyses, including the analys of the information system. Based on these analysis, appropriate changes are proposed including its costs and benefits.
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Statistical Analysis of Risk Factors of a Company
Semchiv, Evgheni ; Šebestová, Monika (referee) ; Karpíšek, Zdeněk (advisor)
This master`s thesis deals with the use of statistical and economic methods of analysis for evaluation of the financial situation of Heineken Czech Republic a.s. Company's economic indicators are subjected to regression analysis, interval regression analysis, and time series analysis. The proposal part contains a detailed evaluation of the results of the analyzes, evaluation of the financial risk factors and recommendations for improving the financial situation of the company.
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Metody výběru proměnných pro predikci bankrotu firem
Šebestová, Monika
Predikce finančního selhání je důležitou činností, prováděnou finančními institucemi za účelem zhodnocení finančního zdraví firem i jednotlivců. V současné době jsou predikční modely založeny na statistických metodách či technikách umělé inteligence. Výběr správných proměnných vstupujících do těchto modelů je důležitým krokem k získání reprezentativního vzorku dat a zvýšení finální predikční přesnosti. Vzhledem k tomu, že neexistuje obecný rámec ukazatelů, pomocí kterých by měl být bankrot podniků predikován, je třeba použít metody, které s tímto výběrem mohou pomoci. Předložený článek se zabývá představením používaných metod a snaží se vyslovit odpověď na otázku, která metoda je pro výběr proměnných nejlepší. Z provedené analýzy vyplynulo, že žádnou metodu pro výběr prvků nelze označit za „nejlepší“ pro predikci bankrotu podniků, protože jejich účinnost značně závisí na použitém predikčním modelu.
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