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A Comparison of Two Models of the Energy Market Development in Czech Republic from 2015 to 2040
Dvořáková, Jitka ; Zeman, Martin (advisor) ; Lukášová, Tereza (referee)
The bachelor thesis is focused on the prediction of the energy market in the Czech Republic between 2015 and 2040 and on the comparison of potential costs related to two models of energy portfolio management. The first model was created according to the National Energy Concept from 2014, while the other one was designed artificially to simulate usage of the renewable resources in 50% of the electric energy production. The theoretical part of the thesis discusses the recent situation of the Czech energy market, defines types of energy resources and explains terms related to the discussed topic. In the practical part, direct production costs of different kinds of power plants were computed and used to estimate economic demands of the two considered models. The efficiency of both models was compared and evaluated. The aim of the thesis was to decide, which of the two models would be more favourable for the Czech national economy. Key words: energy, energy market, direct costs, economic advantage JEL classification: Q40, Q41, Q43, Q47
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Implementation of the Smart Metering Systems in Energetics in Slovakia
Petreová, Adela ; Machek, Ondřej (advisor) ; Tyll, Ladislav (referee)
The goal of the Master´s thesis is to map the actual situation of transformation of power energy sector to smart grid, find answers to some of the major questions concerning the implementation of smart metering systems, evaluate societal and economic costs and benefits, evaluate trends in legislation, compare the situation in Slovakia with other peer countries from the European Union, and create a follow-up recommendations for Slovakia based on this assessment. The thesis includes detailed critical analysis of the CBA, originally created for Slovakia, using benchmarking with countries with a different calculation approach. The used methodology in this work is a research of available resources, qualitative research of case studies, break-down of the CBA, and expert research through interviewing. The outcome is evaluation of economic and societal contributions of smart metering systems and mapping the process and state of the implementation.
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Marketing communication of commercial insurance companies on social media
Havránek, Jiří ; Gála, Libor (advisor) ; Molnár, Zdeněk (referee)
The diploma thesis deals with marketing communication of commercial insurance companies on social media. The aim of the thesis is to analyze the current state of the communication activities of commercial insurance companies on selected social media. Based on the identified state and detected interest in these communication activities by customers, recommendations are suggested for improvement of communication online commercial insurance companies to support the sales of insurance products. The first section defines the areas of insurance, marketing communication and social media. After that there is identification of activities that companies can perform on social media to increase brand awareness. These activities can be monitored, evaluated and after that optimized. In the second section there is identified the current state of commercial insurance activities on social media and detected interest in these activities from customers by using qualitative research. Based on these findings, draft recommendations are formulated on possible improvements to the current situation. The benefit of this thesis is the identification of the current state of commercial insurance activities on social media.
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Selection method of on-premise IT infrastructure conception
Šťastný, Martin ; Gála, Libor (advisor) ; Fortinová, Jana (referee)
The focus of this work is to create a method for the selection of the concept of on-premise IT infrastructure. The document is divided into six chapters, where the first is dedicated to brief introduction and definition of objectives of the work. The second chapter focuses on current state of the problem, which includes research of similar works and definitions of used terms. The third chapter is devoted to describing conceptions as the basis for the fourth chapter, which deals with construction of the method. The fifth chapter is devoted to the verification of the method in a real world environment and last chapter summarizes the whole thesis.
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The Use of Data Analytics in Internal and External Audit
Tecáková, Andrea ; Říhová, Zora (advisor) ; Kadochová, Lucie (referee)
Data Analytics is one of the fast-developing applications of IT in organizations worldwide. This Master's thesis examines data analytics in the context of internal and external audit. Principal aim of the thesis is to identify the opportunities for data analytics application in both audit disciplines. Secondary goal is to design a data-analytical procedure, apply it to actual business data and thus demonstrate the benefits of employing data analytics. The thesis builds on a summary of theoretical sources of the relevant area, followed by a survey conducted by the author. The survey maps current state of data analytics usage in both internal and external audit in the Czech Republic. The added value of this thesis is, apart from the identification of audit areas in which it is beneficial to use data analytics, the design of an analytical procedure and its application. Another benefit is the survey revealing current state of the art and the insights of interviewed auditors, pointing to both benefits and problems of data analytics application to the performance of the audit profession.
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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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Renewable energy legislation
Kučerová, Veronika ; Štěpánek, Petr (advisor) ; Černý, Pavel (referee)
This master thesis discusses current legislation in the field of supported and renewable energy sources. At the beginning of the thesis are defined renewable energy sources from the perspective of Czech legislation and of professional view. The second part is focused on legislation regarding renewable energy sources in the European Union and the Czech Republic. Follows an overview of the support tools and legislation regarding renewable energy sources in other member states of the European Union and the current status of the set objectives related to the share of energy from renewable sources in gross final energy consumption, which have been established by Directive 2009/28/EC. At the end is summary, along with an overview of the most successful and least successful countries in terms of achieving the objective.
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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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