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Economic and Political Consequences of Collectivization in Czechoslovakia
Pučelík, Karel ; Chalupecký, Petr (advisor) ; Johnson, Zdenka (referee)
This work aims to analyze the consequences of collectivization in czechoslovak agriculture. Reporting period is between 1948-1960. In the theoretical part are described political and economic motives and condition of czechoslovak agriculture. In the practical part contents development of collectivization and impact of agriculture reforms on agriculture sector. Reporting period is divided into three parts according to collectivization intensity. In the end we managed to verify the hypothesis that collectivization strongly affected the czechoslovak agriculture.
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Hospital strategy performance
Márová, Adéla ; Dvořáček, Jiří (advisor) ; Bláha, Martin (referee)
This master's thesis called Hospital strategy performance deals with the strategic analysis of České Budějovice Hospital in relation to cost efficiency in this company. Information were provided during the interview with the company CEO, MUDr. Břetislav Shon. Primary input for financial analysis purpose were taken from the annual reports of 2011-2015. The introduction defines strategy and strategic analysis and the master's thesis' aims are specified. The theoretical part is based on theoretical definition and methodology of strategic analysis, the analytical process is introduced, as well as results evaluation based on specialized publication. The practical part consists of the description of the current situation in Czech health care, company introduction and the strategic analysis of the company. The conclusion includes the strategic analysis evaluation and recommendation for next steps.
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Effective dashboard design in the analytical tasks of IS
Janeczková, Agata ; Šedivá, Zuzana (advisor) ; Pour, Jan (referee)
The thesis deals with analysing and designing an effective dashboard. By way of introduction the topics of Business Intelligence, data storages and data quality are described. Then, an overview of analytical outputs is given and the process of their formation is outlined. The basic principles of an effective design of management reports are described, with emphasis laid on the end user. The thesis focuses on important factors of efficiency, such as applicability of transferred information and the form of their transfer. The practical part concentrates on the improvement of the efficiency of a particular dashboard. Besides the rules of a correct design, knowledge of cognitive psychology is also used for this purpose. Upon an analysis of deficiencies of an existing dashboard, proposed changes are incorporated. Changes resulting in more effective transfer of information via a dashboard are based on a theoretical basis of the previous section.
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Transformation of Network Data Reporting Process
Tolar, Tomáš ; Matuštík, Ondřej (advisor) ; Malinová, Ludmila (referee)
This thesis deals with transformation of network data reporting process in a Telecom company. The current process is MS Excel based and is inadequate and inefficient. The goal is to find the right tools and to implement them. The thesis is divided into three parts. First part is focused on theoretical background of reporting, i.e. Business Intelligence and other approaches. Second part explains general Network reporting principles and trends. In contrast with these theoretical recommendations, the actual level of the company's process is depicted. The last part of this thesis covers a practical implementation of selected applications. First, a choice is made within a variety of tools based on department's needs then the architecture is proposed and applications are implemented. The final part of the thesis provides an assessment of the benefits attained by this project.
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Design of the pilot Business Intelligence solution for e-commerce platform
Kabrhelová, Kateřina ; Novotný, Ota (advisor) ; Vysoký, Ondřej (referee)
This thesis deals with the design of the pilot Business Intelligence solution for e-commerce platform Shopio. The first part describes the theoretical concepts of Business Intelligence and e-commerce focused on possible approaches to performance measurement of electronic commerce. Furthermore there is a comparison of analytical tools for measuring performance of e-shops which are available on the Czech market. The second part of the thesis first describes the e-commerce platform and the current status of the reporting module. Then the requirement analysis is conducted for the purpose of identifying the current company client's needs and requirements. The new Business Intelligence solution is designed based on the identified requirements described in the previous chapters. This solution is then tested and verified with the use of real e-shop data. The main purpose of this thesis is to refine the current status of the reports and provide a better tool to measure the e-shop performance for the e-shop owners.
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Possibilities of Big Data use for Competitive Intelligence
Verníček, Marek ; Molnár, Zdeněk (advisor) ; Šperková, Lucie (referee)
The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.
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Partial Report IV / 2016 - Rating of the deformation stress monitoring the state of the rock mass during mining coal seam 30 (634) within the trial operation of mining method corridor - a pillar in OPJ ČSM - NORTH
Waclawik, Petr ; Ptáček, Jiří ; Kukutsch, Radovan ; Kajzar, Vlastimil ; Koníček, Petr ; Souček, Kamil ; Staš, Lubomír
Monitoring of the deformation stress state of the rock mass is a prerequisite for the verification of unapproved new mining methods hall-pillar and its further application in the Czech part of the Upper Silesian coal basin. This mining method is designed on the basis of experiences and practices that are verified in different natural conditions and depths below the surface and is therefore essential for the verification of conditions for the Czech part of the Upper Silesian Basin based on geotechnical monitoring. The present report is prepared on the basis of a contract no. 942/50/10, where the Institute of Geonics, v.v agrees to make periodic evaluation of monitoring data napěťodeformačního state of the rock mass. In accordance with the aforementioned agreement, the message is processed in the six-month period and continues in the interim report III / 2015 (Waclawik et al. 2015) passed buyers in April this year. Interim results of the geotechnical monitoring, such as the experience gained during the first conquest dobývky V show specifics of natural conditions in trial operation unapproved new mining methods hall-pillar.
Fulltext: content.csg -  PDF
Plný tet: UGN_0464907 - PDF
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Multimedia Data Processing in Heterogeneous Distributed Environment
Kajan, Rudolf ; Ferko,, Andrej (referee) ; Míkovec, Zdeněk (referee) ; Herout, Adam (advisor)
Pervasive computing sa zameriava odstránenie zložitostí pri interakcii s výpočtovou technikou a zvýšenie efektivity pri jej každodennom používaní. Ale i po viac ako 15 rokoch od sformulovania hlavných cieľov Pervasive computingu existujú aspekty interakcie ktoré stále nie sú súčasťou užívateľskej skúsenosti s dnešnou technológiou. Bezproblémová integrácia s prostredím vedúca k technologickej neviditeľnosti, alebo interakcia naprieč rôznymi zariadeniami predstavujú stále veľkú výzvu. Hlavným cieľom tejto práce je prispieť k tomu, aby sa ciele Pervasive computingu priblížili k realizovaniu tým, že predstavíme spôsob intuitívneho zdieľania informácií medzi osobným a verejne umiestneným zariadením. Predstavili sme tri interakčné techniky, ktoré podporujú intuitívnu výmenu obsahu medzi osobným zariadením a zdieľaným displejom. Tieto techniky sú založené na prenose videa, rozšírenej realite a analýze pohľadových dát. Okrem interakčných techník sme tiež predstavili mechanizmus pre získavanie, prenos a rekonštrukciu aplikačného stavu na cieľovom zariadení.
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Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 130 Studies Say “Probably Not”
Havránek, Tomáš ; Sokolova, Anna
We show that three factors combine to explain the mean excess sensitivity reported in studies estimating consumption Euler equations: the use of macro data, publication bias, and liquidity constraints. When micro data are used, publication bias is corrected for, and the households under examination do not face liquidity constraints, the literature implies no evidence for the excess sensitivity of consumption to income. Hence little remains for pure rule-of-thumb behavior. The results hold when we control for 45 additional variables reflecting the methods employed by researchers and use Bayesian model averaging to account for model uncertainty. The estimates of excess sensitivity are also systematically affected by the order of approximation of the Euler equation, the treatment of non-separability between consumption and leisure, and the choice of proxy for consumption.
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