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Využití účetních výkazů pro finanční řízení podniku
Hadravová, Hana ; Strouhal, Jiří (advisor)
Cílem této bakalářské práce je charakterizovat základní techniky rozboru účetních výkazů a vysvětlit jejich význam pro finanční řízení a rozhodování podniku. Práce je zaměřena především na vertikální a horizontální analýzu účetních výkazů, analýzu fondů finančních prostředků a analýzu základních typů poměrových ukazatelů. V druhé části práce je proveden rozbor výkazů konkrétního výrobního podniku a na jeho základě je zhodnocena rentabilita, aktivita, likvidita a platební schopnost tohoto podniku.
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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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On possible approaches to detecting robotic activity of botnets
Prajer, Richard ; Palovský, Radomír (advisor) ; Pavlíček, Luboš (referee)
This thesis explores possible approaches to detecting robotic activity of botnets on network. Initially, the detection based on full packet analysis in consideration of DNS, HTTP and IRC communication, is described. However, this detection is found inapplicable for technical and ethical reasons. Then it focuses on the analysis based on network flow metadata, compiling them to be processable in machine learning. It creates detection models using different machine learning methods, to compare them with each other. Bayes net method is found to be acceptable for detecting robotic activity of botnets. The Bayesian model is only able to identify the botnet that already executes the commands sent by its C&C server. "Sleeping" botnets are not reliably detectable by this model.
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Support of marketing through social networks
Vaněk, Jiří ; Pavlíček, Antonín (advisor) ; Čermák, Radim (referee)
The goal of the diploma thesis "Support of marketing through social networks" is to pro-vide an overall series of recommendations for editorial staff of magazines and similar journals how to proceed in communication on social networks. Afterwards, these recom-mendations are applied to a specific title, Exclusive magazine. The practical part contains an introduction and analysis of communication on social networks. Based on the analysis of communication magazine Exclusive, and an analysis of the competition is designed a proposal of how to improve the use of social networks in the communication mix of the mentioned journal. The theoretical part describes the possibilities of online marketing and online PR with a focus on social media and networks.
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Doing business while studying
Kopecká, Adéla ; Kašparová, Eva (advisor) ; Novák, Pavel (referee)
This thesis is written about factors, which leads people doing business while studiing. It is more actual then ever and it is more and more popular between people. This thesis tries to find out which factors are important, that student starts his/her own business. This thesis is devided to two parts. the first one is teoretical and second one is practical. Teoretical part is about business and motivation. The aim of second part is to identifie and examine factors of motivation doing business, analysis of current situation in Czech republic and analysis of business support also in Czech republic and abroad.
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Comparison of accounting programs from the point of view of the use of information for management companies
Loušová, Petra ; Stejskalová, Irena (advisor) ; Pevná, Jana (referee)
The aim of the thesis is to compare accounting programs from the point of view of the use of information that are important for management companies. The theoretical part deals with the general approach to processing business information in the accounting. Next there is explained an overview of what information in the field of accounting are important and necessary for the job of financial manager. The practical part contains an analysis of at least three accounting programs, with the main focus on what information from the selected accounting program managers need in their work and what information is actually gaining from the program. In practical part, there are also compared results of individual organizations; information is gathered through in-depth interview with financial managers selected companies.
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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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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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The impact of South China Sea dispute on trade relations between China and Vietnam
Nguyen Hong, Viet ; Vlčková, Jana (advisor) ; Hasík, Gabriel (referee)
This bachelor thesis investigates the impact of South China Sea dispute on mutual relations between China and Socialist Republic of Vietnam. Thesis lays great emphasis on the analysis of mutual trading relations. The goal of this work is to find out if the dispute over territory has negative influence on mutual relations and to what extent. Therefore, thesis is divided into 3 main chapters. The introductory chapter describes position and development of each country. Second chapter uses findings from the introductory part for the analysis of political and trade relations of both countries. It focuses on the history of mutual relations and mainly it lays emphasis on current mutual relations. Last chapter of the thesis is dedicated to the issues regarding South China Sea. Motives and causes of this dispute are described in this chapter. It provides a view on the course of this territorial dispute, and also impacts on mutual relations are analyzed. The output of all three chapters helps to formulate following conclusion. Dispute over South China Sea has impact on mutual relations. Predominantly, it influences political relations between China and Vietnam, therefore, this dispute is often mentioned in media. However, according to available data this dispute has not had major effect on trading relations. Mutual trading between both countries went off in dispute period without any limitations and barriers.
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Employee motivation and satisfaction in production company
Olszowá, Zuzana ; Matysová, Kamila (advisor) ; Chylíková, Hana (referee)
The main subject of the thesis is employee motivation and satisfaction. The aim of this thesis is to analyze the employee motivation and work satisfaction of a production company, identify areas of dissatisfaction and provide recommendations for future improvements. The study also aims to emphasize the relationship between employee motivation and work satisfaction and the level of their performance, loyalty, absenteeism, fluctuation as well as the correllation between employee motivation and satisfaction and the overall organizational performance. A brief introduction is followed by the theoretical framework of the thesis which includes such concepts as motivation, stimulation, work motivation, job satisfaction or motivation profile, explains and focuses on basic theories of motivation and factors of employee satisfaction. The empirical part of the thesis introduces the human resources management in the production company and the questionnaire investigation conducted among the employees of the production company. The questionnaire icludes parts where the questions about satisfaction of the employee with the selected factors influencing employee motivation and satisfaction were asked. This section also includes conclusions and recommendations for future employee motivation and satisfaction improvements.
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