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The possibilities and conditions for the use of tools for analyzing customer behavior on social networks
Horák, Vít ; Molnár, Zdeněk (advisor) ; Měsíček, Libor (referee)
The thesis deals with free tools that can be used to analyze customers of SMB e-commerce enterprises on the social network Facebook in order to increase their competitiveness within the social network. The theoretical part focuses on defining key terms, distinguishes types of social media and describes present social networks situation in world and in the Czech Republic from a users perspective and in the Czech Republic also from an enterprises perspective. Furthermore, the theoretical part also deals with possibilities that social networks can offer to the SMB enterprises. And as well it identifies different types of analytical tools that can be used for purposes of monitoring customers or analysis of customers. In the beginning of the practical part there is introduced the company Dobrutka.EU s.r.o. (the e commerce B2C company). Afterwards is presented the analysis of the survey about how SMB companies that operate the best Czech e-shops monitor and analyze their activities and customers from the social network Facebook. Subsequently there is handled the selection of appropriate tools for SME companies, which are also analyzed in the following chapter. At the end of the practical part there is practical application of knowledge from the thesis to Dobrutka.EU s.r.o. through the design and pilot deployment of appropriate procedures and analytic tools, whose effectiveness is evaluated at the end of chapter. The main benefit is in act of finding and verification of free tools and effective method that allows for detailed analysis of company customers even for micro companies and thus also effectively achieve positive economic results even in emerging facebook presentations.
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Strategic analysis of Plzeňský Prazdroj, a. s.
Jirásková, Žaneta ; Dvořáček, Jiří (advisor) ; Mareš, David (referee)
The aim of this thesis is to do strategic analysis of Plzeňský Prazdroj, a. s. and to provide some recommendations for the further development of company. To achieve this goal, it is necessary to conduct external and internal analysis, which will provide a comprehensive view of the environment, in which the company operates. The work is divided into theoretical and practical part. The theoretical part defines the basic methods and techniques that are then applied to an analyzed company.
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Analysis of communication strategy of Red Bull Czech Republic
Syrovátková, Anežka ; Mikeš, Jiří (advisor) ; Homolka, Pavel (referee)
In my thesis I focused on the analysis of communication strategy of Red Bull Czech Republic, specifically on advertising, communication at the point of sale, public relations and media communications, opinion leaders program, event marketing and digital communications. I started from global communication strategy represented by Red Bull Media House and I have examined, how this strategy is implemented at local level. For this analysis, it was also necessary to analyze market of energy drinks in the Czech Republic, as it stands under the category of soft drinks and what position takes Red Bull. Based on these analyzes, I evaluated pros, cons and suggested possible improvements.
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Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.
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Usage of unstructured data in Business Intelligence
Rakhmanova, Malika ; Šperková, Lucie (advisor) ; Karkošková, Soňa (referee)
The aim of the thesis is to identify the main trends that are occurring in the market of Business Intelligence and related to unstructured data, to describe the possibilities for integrating unstructured data, to clarify what the impact on the company have the results that can be obtained using these solutions and how generally incorporate an analysis of unstructured data into BI. Another aim is to show the current situation of processing unstructured data on the example of BI system. The thesis is divided into several parts. First part is describing of the Business Intelligence area and the basic components of Business Intelligence, as well as identifying market trends. Then, there is the next part: separating the data into structured and unstructured. Here is the part about how you can access and analyse unstructured data and what is their place in BI systems. This is the end of a block of unstructured data and the beginning of a description of the enhanced version of BI. Finally, the current market situation and BI tools, which include unstructured data, are introduced. This section provides an overview of how BI tools approach to analyse unstructured data. Existed literature, professional and freely available Internet resources are used for writing the work. The purpose is to serve as a source of information for quickly orienting in the current situation, to serve as a guide to the world of BI solutions and to show potential users what are the options and functionality of these BI solutions.
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Problematics of hotels promotion and analysis of specific hotel
Juríčková, Kristína ; Mikeš, Jiří (advisor) ; Jenčková, Jiřina (referee)
Diploma thesis deals with the problematics of promotion in the hotel industry. After defining theoretical knowledge, it is demonstrated on specific practical example, the internationally known hotel in Prague. The practical part includes an analysis of the actual promotion of the selected hotel, where the emphasis is put primarily on communication on social networks. Subsequently, this promotion is compared to competing hotel. At the end, on the basis of the conclusions, there are presented recommendations and proposals for the marketing campaign of the hotel.
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Valuation of the company Jihoměstská sociální a.s.
Hovorka, Luboš ; Smrčka, Luboš (advisor) ; Strouhal, Jiří (referee)
The goal of this master´s thesis is to perform an evaluation of the company Jihoměstská sociální a.s. on the date of evaluation of December 31st, 2015, for the purpose of a possible sale to a private company. The thesis consists of two parts: theoretical part and practical part. The theoretical part describes process and methods, which are applied in the practical part. The practical part contains an analysis of previous company´s results and forecast of the future by 2020. Next comes the valuation of Jihoměstská sociální. The conclusion discusses possibilities of sale.
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Design and implementation of e-learning in the area of interest
Marešová, Nikola ; Husa, Jiří (advisor) ; Marek, Marek (referee)
The bachelor's thesis entitled "Design and implementation of e-learning in the area of interest" deals with buying used cars. The essential part of this work is a creation of e-learning course for buyers and other people interested in this area which aims to improve their knowledge. The participants will get an overview of the most common situations and problems they can meet when buying a used car. The theoretical part presents an overview of the topics of the issue of purchase of used cars. It may serve as a theoretical guidance to the e-course, it brings its content. The topics are based on the analysis of information from printed and electronic sources, supplemented by experiences of the author and experts in the field. The practical part deals with the creation of an e-learning course. It contains an analysis of the needs of buyers, the reasons for the creation of the course and the requirements of it, its objectives, a description of the used authoring tool eXe and graphic creation process from the creation of the course after its publication in steps. All this is complemented by the feedback from six volunteers who have expressed an interest in testing the course and then doing a review. Before the creation of the course it was necessary to analyze the situation and find out why such a course is needed. The acquired knowledge was then processed in the course by the synthesis method. For the evaluation method it was used a short personal interview where the author examined satisfaction with the course, its possible shortcomings and suggestions for improvements or enhancements.
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