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The 2010 Slovakian Referendum: A Brief Comment on Its Results. The article examines geographical support, through the use of the Gini coefficient, of the seventh Slovak referendum agenda at three territorial levels. The vote distribution among districts was abnormally homogenous at every territorial level and the ratio between Yes and No votes at the regional level also showed no significant fluctuation. A slight divergence in vote distribution can be observed between towns with more than 20,000 inhabitants and villages. In spite of being declared invalid due to low turnout, the referendum campaign promoted Freedom and Solidarity’s (Sloboda a solidarita, SaS) policy statements and can be, therefore, regarded as a success. We assert that the SaS was able to mobilize three times more voters than in recent parliamentary elections. This proves that the SaS, despite the opposition of the rest of Slovak political subjects, was able to push its agenda and convey it to non-voters as well as voters of other parties.

This Thesis is focused on the ways of getting information from the World Wide Web source . The Introduction pays attention to the theoretical approach towards data collection options . The main part of the Introduction is engaged in the Web Crawler program as the possibility of data collection from internet and consequently they are followed by alternative methods of data collection. E.g. Google Search API. The next part of the Thesis is dedicated to SAS products and their meanings in the context of reporting and internet monitoring. SAS Intelligence platform is presented as the crucial Company platform In the framework of the platform there could be found concrete SAS solutions. SAS Web Crawler and Semantic Server are described in SAS Content Categorization solution. Whilst the first two parts of Thesis are focused on the theory , the third and closing part pays attention to practical examples. There are illustrated examples of Internet Data collection, which are mainly realized in SAS. The practical part of Thesis follows the theoretical one and it cannot be detached.

This diploma thesis is a practical excursion into the organization of controls in a particular shared service centre. The work deals with the company relation to the section 302 and 404 of Sarbanes-Oxley Act and describes the company's internal control system according to the COSO "Integrated framework - Internal control" issued in 1992. More detailed description is provided within the company's fraud risk assessment process and within yearly testing process of control activities in order to meet section 404 of Sarbanes-Oxley Act. The specifics of external audit when performing audit in shared service centre, the shared service centre influence to foreign accounting entities from internal control system perspective are the other topics taken in consideration. Finally, there are highlighted benefits of automated system for processing travelling expenses in relation to the COSO "Integrated framework - Internal control" issued in 1992 and in relation to necessary assurances requested by U.S. SEC for the purpose of preparing financial statements under U.S. GAAP. The company's relation to anti-corruption laws (such as the FCPA) intersect in the analytical section, whose purpose is to find internal control gaps in the department processing travel reports in terms of their content and process.

This thesis deals with comparation of statistical software from regular user's point of view, evaluates various tools utilized by different applications, and offeres overall assessment of complexity of these statistical packages. The first theoretical part describes selected chapters of statistics; the second part compares following programs: SAS Learning Edition 4.1, SPSS 18 (PASW Statistics 18), StatXact 6, and Minitab 15. The comparison of systems is predominantly focused on formation of statistics and methods used, outputs, and user's interface provided by this software.

The objective of this thesis is to point out to possibilities of how to process demographic data using several statistical software systems. Programs with different approach to data processing and analysis have been chosen on purpose. The thesis is divided into three parts. The first one is theoretical. Terms and methods that have been used in the thesis are explained here and there is also an introduction to the Microsoft Office Excel, SAS and Matlab software. Second part maps sources of demographic data, attends to data formats and explains their usage and advantages. In the third part, selected tasks that are likely to encounter in demography are presented. They have been chosen so that they examine the programs from various views such as transparency, range of choice of statistical functions, ability to create graphical outputs etc. A general procedure, evaluation, output comments and own code implementation (if the functions are not integrated) are introduced for each of the tasks. In my thesis I focused mostly on the question of choosing proper software for demographic data analysis.

This thesis is focused on SAS Enterprise Intelligence Platform product and it's capabilities to integrate within a Business Intelligence solution. The aim of the thesis is to describe integration technolgies that the platform features, as well as to determine their application field and compare them, eventually add usage examples. The first part of the thesis explains the general concept and architecture of Business Intelligence, afterwards the reader gets familiar with the SAS Enterprise Intelligence Platform, it's stucture and components and it's Business Intelligence market position. The second part of the thesis contains description (how they work and what they are good for) of the integration technologies available in SAS Enterprise Intelligence Platform. Those technologies are mostly implementations of the most common industry standards (database APIs, COM/DCOM, CORBA, web services). The study also includes description of these standards supported by SAS. The thesis features also comparisions of the integration technologies, namely comparison of database API implementations and comparision of Integrated Object Model API with SAS BI Web Services.

Poptávka, jakožto determinující faktor vyráběných statků z dlouhodobého hlediska, je natolik důležitý činitel dění v ekonomickém světě, že je potřebné důkladné zkoumání všech příčin a souvislostí, které ji mohou ovlivňovat. Pokud se podaří eliminovat jednotlivé, dříve zvažované, prvky, pak lze postupně získat takové ukazatele, které jednoznačně na poptávku působí. Sekundární data poslouží k náležitému rozlišení a následné dedukce pomohou k osvětlení nejužších souvislostí. Je zřejmé, že k takovýmto závěrům je třeba relevantních softwarových nástrojů, bez kterých by v dnešní době nebylo možno dostatečně adekvátně reagovat na turbulentní prostředí.

This diploma thesis deals with usability of the SAS system and its components for building and running data warehouse and complete solution of Business Intelligence. In the beginning it introduces the meaning and benefits of putting on Business Intelligence and its spot in an organization. It especially focuses on the running BI project in Kooperativa, a.s., insurance company. The main goal of this thesis is to aim on ETL processes of data warehouse, their specificity, characteristics and regular tasks solved across data layers, measuring their performance and feasibility of ETL optimalization. This optimalization can be considered from two different points of view – the first is a creation and maintenance of the ETL source code, the second is tuning for faster data processing. Log files, which are are the main source for performance monitoring, are processed by macroprogram specially tailored to this particular reason. Gained results are analyzed and on that basis I outline spots that need attention. The last part offers comparison of some alternatives to data transformation process typically solved by ETL tasks. Acquired results could be taken as hints used in designing and tweaking other akin ETL processes.

Goal of my thesis is to show and compare various ways of graphical data analysis in statistical computing systems. This area is still developing, new techniques are being discovered and the already known are being developed. This work is split into three parts, one theoretical, one comparing and one general with new ideas. The first part is theoretical and is dedicated to classification of statistical variables. For statistical computing systems I offer a simplified classification because of the way they treat some types of variables. Second part of my work compares graphical outputs of three most used statistical computing systems SAS, SPSS and STATISTICA. This comparison is based on some of the most commonly used graphical methods. The outputs are tables with detailed description and examples of graphs from each system are attached. The last part is focused on the general graphical data exploration and follows the simplified classification of variables. In this part I use common graphical techniques and introduce some new or fewer used techniques. Many of them haven't been described in any Czech literature yet. Almost all the graphs presented in this work were created by me in various statistical computing systems. Two were copied from literature because of serious problems with the process of their creation.

Cílem této diplomové práce je praktické i teoretické seznámení uživatelů neparametrických metod s několika vybranými statistickými programy, v nichž je možné neparametrické analýzy provádět. Nedílnou součástí cíle je i porovnání těchto programů. V teoretické části jsou stručně popsány základy testování statistických hypotéz a teorie neparametrických testů. V praktické části jsou prozkoumány programy NCSS 2007, Statistica 7, SPSS 15, Systat 12, Stagraphics Centurion XV, Minitab 15, S-Plus 6.2, SAS 9.1 a StatXact 7. U každého software jsou popsány neparametrické testy, které obsahuje, a zjednodušeně i vkládání dat a výstupy. Nakonec jsou vybrané programy porovnány z několika hledisek. Všechny vybrané programy obsahují značné množství neparametrických testů a liší se většinou jen v detailech. Pro většinu analýz není potřeba hledat speciální programy a dají se použít všechny vybrané, pouze pro porovnávání rozptylů je nutné použít buď SAS nebo StatXact, protože v jiných programech ve výběru tyto testy nenalezneme.