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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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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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A Comparison of Preconditioning Methods for Saddle Point Problems with an Application to Porous Media Flow Problems
Axelsson, Owe ; Blaheta, Radim ; Hasal, Martin
The paper overviews and compares some block preconditioners for the solution of saddle point systems, especially systems arising from the Brinkman model of porous media flow. The considered preconditioners involve different Schur complements as inverse free Schur complement in HSS (Hermitian - Skew Hermitian Splitting preconditioner), Schur complement to the velocity matrix and finally Schur complement to a regularization block in the augmented matrix preconditioner. The inverses appearing in most of the considered Schur complements are approximated by simple sparse approximation techniques as element-by-element and Frobenius norm minimization approaches. A special interest is devoted to problems involving various Darcy, Stokes and Brinkman flow regions, the efficiency of preconditioners in this case is demonstrated by some numerical experiments.
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Profile and reflections of dance department of the Juilliard school
Červinka, Marek ; JANEČEK, Václav (advisor) ; KŘENKOVÁ, Mahulena (referee)
This bachelor thesis, called Profile and Reflection of Juilliard School’s Dance Division, first of all briefly touches the key events in history of both classical and modern dance in the first half of the twentieth century and then approaches the history of The Bennington School of the Dance which is considered to be the Juilliard’s predecessor. After a general historical overview, descriptions of the educational goals and study programs, is the rest of the work focussing on Juilliard’s Dance Division in detail. Its past accomplishments, famous teachers, study programs and the admission procedures are discussed. All these information, including the interviews with Jarek Cemerek, a Czech choreographer and dance teacher, and with Brennan Clost, a current student of the fourth year at The Juilliard School, were used as a final reflection of Juilliard’s Dance Division. The comparison of Czech dance schools with The Juilliard School is comprised in this section.
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Activities and functioning of New web organization
Tyl, Jan ; PROKOP, Petr (advisor) ; SULŽENKO, Jiří (referee)
Abstract
Bachelor thesis Activities and functioning of New Web organisation aims to detailed analysis of this culture network. What paths choose, how fulfills its visions, etc. Describe the formation of the organization, motivations and partial steps, which New web takes for its funcioning. How partial sections of this organism thinks and how cooperate.
Also this thesis deals with organization structure of New web. Collectively write an overview of activities this network. Uncover sources of funding. All in relation with functioning of another culture networks in Europe. Concretely IETM, Trans Europe Halles and IN SITU organizations. In conclusion wants to outline future direction of New web organization.
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Global Economy Outlook - December 2016
Česká národní banka
Global Economic Outlook presents the regular monthly overview of recent and expected developments in selected territories, focusing on key economic variables: inflation, GDP growth, leading indicators, interest rates, exchange rates and commodity prices. In this issue, we also focus on a major phenomenon of the day: the migration of people into Europe, and Germany in particular. In this context, we present an analysis of the effect of the increased number of refugees on the German labour market. We show, among other things, that the incoming migrants will be far from enough to cover the demand for labour in Germany and also that they will compete more with workers arriving in search of jobs in Germany from Central and Eastern European countries than with German citizens.
Fulltext:  PDF; PDF
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Global Economy Outlook - November 2016
Česká národní banka
The November issue of Global Economic Outlook presents the regular monthly overview of recent and expected developments in selected territories, focusing on key economic variables: inflation, GDP growth, leading indicators, interest rates, exchange rates and commodity prices. In this issue, we also focus on the relationship between the Brent crude oil price and the US dollar exchange rate over the last ten years. The results show that the inverse relationship between the Brent price and the nominal effective exchange rate of the dollar still applies, helping dampen fluctuations in the dollar price of oil in “non-dollar” economies.
Fulltext: PDF; PDF
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