The diploma thesis is focused on a specific way of distribution of Business Intelligence application on Software-as-a-Service base. A different concept opens a possibility for small and medium-size companies which cannot afford robust and expensive solution. The theoretical part provides an introduction with the basic characteristics of BI systems and cloud applications. Additionally, descriptions of the selected criteria are stated for a comparison of the specifics of applications delivered as a service. Integration, analytical and reporting functions Belladati, Zoho Reports and Bime are tested in a practical part of the thesis. The main chapter is devoted to solution product comparison, based on the selected criteria. The main asset of the work is to discover the strengths and weaknesses of each solutions found during the practical testing on the test data. The result of the comparison is not to find the best product, but to enhance the specific properties. The output can serve as a background material during cloud-based BI applications selection.

The business data could be considered as the raw material for decision-making process, for the development of corporate strategies and overall running of the business. Therefore, adequate attention should be paid to quality of the data. The main goal of the diploma thesis is elaboration of a specific framework for data quality assurance, which combines three theoretical concepts: time series analysis, data screening and data profiling -- business-specific data profiles are monitored by data screening during the data warehouse ETL (extract, transform and load) process and results are afterwards compared with the values predicted by time series analysis. Achievement of this goal is based on the analysis of "data quality" in literature, exact problem definition and selection of appropriate means for its solution. Moreover, the thesis is analysing alternative solutions available on the market and comparing their functionality with the functionality of own framework, as well.

Diploma thesis is focused on the area of corporate performance management in corporation. As the time passes and technology is developing, the amount of information is still increasing. The company has to work with these information and process data based on which it can make decisions in everyday business. It is crucial for the company to know how to process data and create processes and information systems so the data can be used for effective decisions making process. The goal of this thesis is to introduce corporate performance management as the complex system and make the proposal of the concept for the company on Slovak and Czech market trading with information technology. Thesis is divided into two parts. The first one is about introducing principles of corporate performance management (as abbreviation CPM) -- introduction of components, history and also the place of CPM in architecture of the company. It also describes the possible future of importance in the company IT structure. In the end of first part there are introduced 5 principles of integrating CPM into real company life cycle. In the second part, thesis is about application of CPM into the company on Czech and Slovak market. In the first place, analysis was done about the state of each of components of CPM. Afterwards, all components of CPM were again designed so it would be possible to reach the best results. In the second part there is also detailed manual according to 5 principles by Palladino how to implement corporate performance management into this company.

The diploma thesis deals with the selection of tools used for reporting and managerial output for a telecommunications company that, with respect to the volume of its activities, falls into the category of small and medium-sized enterprises. The theoretical part of the thesis focuses on general issues of Business Intelligence, on finding and combining recommendations for high-quality reporting and output, and on the method of choosing the right option meeting the necessary requirements from a wide selection. The practical part describes the reasons that led a specific company to the need for reporting tools. It summarizes the company's needs and analyzes the market of potential products. This part is concluded with a selection procedure that, using the created criteria, assesses individual products and attempts to find the best solution. This thesis is based on theoretical knowledge acquired during studies, as well as practical experience and consultations with experts in reporting. It can also serve to summarize requirements and to find options for companies looking for optimal reporting and output tools.

Nowadays, decision-making is not only made in the office with a PC. With a dramatic increase of mobile devices (such as smartphones and tablets) and internet access, the approach to reaching and delivering key, strategic data has changed over the last decade. The diploma thesis analyses the market of business intelligence platforms, dedicated for mobile devices, by comparing selected vendors in this segment. The first, theoretically oriented chapters focus on explaining the key concepts of business intelligence and mobile business intelligence and appropriate context, especially the growing market of mobile devices and internet access availability. Furthermore, the theoretical part is followed by a list of criteria, amongst which will selected platforms be compared. These criteria include not only a user view, but also a technical view of the compared products -- IBM, MicroStrategy, SAP and Oracle. Two methods are used to evaluate the best product. The first comparison is based on average scores gained across all criteria, while the second method applied is a pairwise comparison. The following, practically oriented chapter contains a step-by-step user guide of downloading, installing, configuring and especially the process of creating and deploying reports and documents suited directly for mobile devices, such as the iPad. The whole process is described for the winning platform MicroStrategy, which not only earned the highest scores, but also won the pairwise comparison over all other platforms. This thesis serves as basic orientation in the young market of business intelligence platforms enhanced with dedicated modules for mobile devices and carries a recommendation for one of them to select.

Diploma thesis focuses on Data Discovery tools, which have been growing in im-portance in the Business Intelligence (BI) field during the last few years. Increasing number of companies of all sizes tend to include them in their BI environments. The main goal of this thesis is to compare QlikView, Tableau and PowerPivot using a defined set of criteria. The comparison is based on development of human resources report, which was modeled on a real life banking sector business case. The main goal is supported by a number of minor goals, namely: analysis of existing comparisons, definition of a new set of criteria, basic description of the compared platforms, and documentation of the case study. The text can be divided into two major parts. The theoretical part describes elemental BI architecture, discusses In-memory databases and data visualisation in context of a BI solution, and analyses existing comparisons of Data Discovery tools and BI platforms in general. Eight different comparisons are analysed in total, including reports of consulting companies and diploma theses. The applied part of the thesis builds upon the previous analysis and defines comparison criteria divided into five groups: Data import, transformation and storage; Data analysis and presentation; Operations criteria; User friendliness and support; Business criteria. The subsequent chapter describes the selected platforms, their brief history, component architecture, available editions and licensing. Case study chapter documents development of the report in each of the platforms and pinpoints their pros and cons. The final chapter applies the defined set of criteria and uses it to compare the selected Data Discovery platforms to fulfil the main goal of this thesis. The results are presented both numerically, utilising the weighted sum model, and verbally. The contribution of the thesis lies in the transparent confrontation of three Data Discovery tools, in the definition of a new set of comparison criteria, and in the documentation of the practical testing. The thesis offers an indirect answer to the question: "Which analytical tool should we use to supplement our existing BI solution?"

This diploma thesis concerns the posibility of application Balanced Scorecard in production company management by using Business Intelligence tools. The goals of the thesis is definic strategic goals using Balanced Scorecard method, creation of the metrics from strategic goals and design and implementation of BI application to watt key metrics. The esential concepts concerning Business Intelligence and Balanced Scorecard are defined in the theoretical part of the thesis. Esential principals of BI and basic perspectives of BSC are defined there. Effects and risks of applying Business Intelligence are discussed in the thesis. Strategic goals are defined in the practical part of the thesis. A strategic map is created from the strategic goals in the thesis. Defined strategic goals are used for the creation of the metrics that are used to create the indicators. The indicators are created in the part of the thesis where BI is implemented. Only some metrics were chosen for the implementation of BI. Sorce data is transformed and stored in the multidimensional diabase. These data and indicators are used to create OLAP cube. Then the reports are created from data in this cube. Outputs of the thesis are BSC analysis including strategic map of the goals, BI implementation using MS SQL Server and reports using MS Excel and MS ProClarity.

This master's thesis focuses on the issues of selecting the Business Intelligence tools distributed under open source licenses. The main objective of this work is to compare the different instruments in all layers of the Business Intelligence architecture. The first part is focused on the definition of key concepts of the main topic. Provides necessary theoretical basis for understanding the context used in the practical part, which is dedicated to comparison tools realized according to the established methodology. These tools are selected and compared with predetermined criteria. Then each tool is introduced and verbally and numerically compared with others. At the conclusion of each comparison group of instruments referred to their final assessment and recommendations. This work is intended to provide the information base needed to select the proper tools to create a complete BI solution.

Main objective of the theses is pilot solution for implementations of Business Intelligence in to the Business company. The company is selling gastronomic appliances and realizes complete functioning of public alimentation , including services. The theses is devided in two parts. First part is theoretical summary of methods Balanced Scorecard and Business Intelligence. Theoretical part includes the chapter which explain operation and possibilities of Business Intelligent in small companies. The second part is practical solution, where is in the beginning introduction of the company. In the following chapters the main objective is to establish the key indicators in chosen company by using method of strategic operation of Balanced Scorecard. Next is to create strategic map, which make model for company behavior and model for usage of outputs in the course of real implementation of Business Intelligence.

The main goal of this diploma thesis is to provide advice and recommendations to increase the effectiveness of Business Intelligence using Oracle database. More specifically, the focus of the thesis is the optimization of ETL processes and objects in a data warehouse. Tests to compare different optimization techniques are performed to meet the defined goal. These tests are based on common tasks solved in data warehouses on daily basis. Tests are also supported by publications of leading authors in Oracle environment. The second goal of this work is the implementation of appropriate optimization techniques to real ETL pro-cess in order to increase its effectiveness. Performance changes are compared and measured using metrics defined for the ETL process and requirements from client. Optimization techniques presented for main objectives are used to achieve the second objective. Contri-bution of the thesis is to show the most important optimization techniques and tips that every developer should know and be able to use effectively. Another added value is au-thor's practical experiences in real data warehouse environment.