This master thesis is focused on design and implementation of a web application for a company to show users of this application relevant data in prearranged dashboards using visual elements, such as charts, information cards or tables, depending on the role of the logged in user in the application. The data that will be used by the application are obtained from the QI system in which they are transformed into multidimensional cubes that are automatically uploaded to Microsoft SQL Analysis Services Server.

The first section contains a literature search dealing with relevant topics. Primary data were obtained from structured interviews with mayors of municipalities of Lipno. Secondary information was drawn from the literature and many websites of Lipno. In the practical part was prepared a complete analysis of the supply of tourism services. Next was drafted analysis of internal and external environment of Lipno, using SWOT analysis. Based on the analysis and primary research was prepared an optimum development plan of Lipno. Part of the development plan is costing the selected development measures. Recommendations made in developing the plan should lead to the development of tourism in Lipno, and to increase the competitiveness of Lipno.

At the very beginning of the diploma thesis, we introduce the reader to the issues of BI and controlling of manufacturing companies. Subsequently, we perform an analysis and evaluation of the current state of the selected manufacturing company in terms of variations in production. Then we use MSSQL server and SSAS to create a controlling model. The company will be able to unambiguously and quickly identify weaknesses in production and quickly eliminate them. Finally, we evaluate the real benefits of this project for the company.

The diploma thesis is focused on the development of a small plumbing company. The theoretical part deals with a business plan and its components. In the analytical part the company is examined in more detail in five areas - company analysis, human resource management, services marketing, financial analysis and plan and risk analysis. In the proposal part measures are recommended to improve internal operations of the company, strengthen its competitive advantages and enhance its financial stability.

The purpose of this work is in analytical tool supporting manager decision making. The goal was to develop a reporting system which simplifies company customer's orientation in key performance indicators. As implementation environment has been used .NET Framework 3.5 with C\# language and database server Microsoft SQL 2008 with Analysis Services extension, for web interface has been used ASP.NET.

This thesis deals with the issue of the project management, project portfolio management and environment settings for the management and portfolio analysis in a fictional organization. In the theoretical introduction there is outlined the situation of the education of the project portfolio management at universities in the Czech Republic, Europe and worldwide, in summary form of founded courses that deal with this issue. Some basic principles of PMI methodology follow to introduce the reader to the project and portfolio management. As a practical part of this thesis there has been project management solution software implemented as a support for the portfolio management education. Microsoft Project 2010 has been selected for this purpose. This part of the thesis guides reader through practical topics like how to set up the whole environment including all utilities and contains a description of services settings. As example there were also sample roles and resources of the company set up, which were subsequently assigned to fictional projects so that the business portfolio analysis based on set of business goals and prioritization of individual projects could have been performed. The contribution of this work can be found mainly in the possibility of portfolio management education and training by using one of the leading software tool that are successfully implemented in a real production environment, and to try out the various acts and practices and also to clarify the various processes in the context of specific projects within the portfolio. Prepared fictional organization and sample data can be especially used as a model for handling various assignments in the upcoming educational courses at VŠE.

Data collecting and analysis are commonly used techniques in many sectors of today's business and science. Process called Knowledge Discovery in Databases presents itself as a great tool to find new and interesting information that can be used in a future developement. This thesis deals with basic principles of data mining and temporal data mining as well as with specifics of concrete implementation of chosen algorithms for mining periodic patterns in time series. These algorithms have been developed in a form of managed plug-ins for Microsoft Analysis Services -- service that provides data mining features for Microsoft SQL Server. Finally, we discuss obtained results of performed experiments focused on time complexity of implemented algorithms.

This master's thesis is focused on knowledge discovery from databases, especially on methods of mining sequential patterns. Individual methods of mining sequential patterns are described in detail. Further, this work deals with extending the platform Microsoft SQL Server Analysis Services of new mining algorithms. In the practical part of this thesis, plugins for mining sequential patterns are implemented into MS SQL Server. In the last part, these algorithms are compared on different data sets.

This paper deals with data warehouses and OLAP. These technologies are defined and described here. Then an introduction of the architecture of product MS SQL Server and its tools for work with data warehouses and OLAP folow. The knowledge gained is used for creation of sample application.