The thesis covers the term for specific data analysis called Big Data. The thesis firstly defines the term Big Data and the need for its creation because of the rising need for deeper data processing and analysis tools and methods. The thesis also covers some of the technical aspects of Big Data tools, focusing on Apache Hadoop in detail. The later chapters contain Big Data market analysis and describe the biggest Big Data competitors and tools. The practical part of the thesis presents a way of using Apache Hadoop to perform data analysis with data from Twitter and the results are then visualized in Tableau.

Diploma thesis deals with analysis of common requirements of mid-sized and major companies for financial reporting and with design and development of reporting tool which meets such requirements. The target of the thesis is to create the tool for financial reporting, which would be universal and allows user to set up by himself, easily and without interfering the source code, those parts of reporting tool which usually varies for different companies, so they can't be set both universally and precisely in advance. The tool is developed in QlikView environment, which provides many advantages for quality reporting. My contribution within this thesis is in the use of nontrivial practices and maximal utilization of QlikView environment possibilities in order to make the final financial reporting tool modular, parameterizable, expandable and applicable in any company environment and to enable it to transfer the role of reports set-up towards the user.

The main goal of this thesis is to create a manual for planning application named Targetty appropriately so, for the academical purposes used at University of Economics, Prague and also to create a demo of this application for Vetrotech company. The goal is fulfilled through detailed analysis of the application and by describing its functionality via screenshots of the application and their description. The app demo is created on data model which was suggested for this purpose. This thesis can be divided into three main parts. The first part considers the issue of the enterprise planning by both the economical and the Business Intelligence points of view. The planning principles are demonstrated via examples and explained into detail. The second part is dedicated to analysis of the planning application called Targetty and in the last one a demo of application for Vetrotech company is created. This thesis proves that the planning application Targetty is a suitable application for small or medium companies. It also contains an application demo for Vetrotech company based on data model which may be used for creating a solution for any companies specializing in commercial industry.

This Master Thesis deals with the use of modern information technologies in business man-agement, business data processing and measurement of business performance, in order to achieve better management decisions. This thesis aims to: introduce a business intelligence principle and business performance management within a certain designated area, their us-age in management systems and, last but not least, their usage in creation of modern presentation tools, dashboards. The theoretical part of this thesis is divided into three chapters. The first deals with busi-ness intelligence, which not only explains this concept and the basic principles of this tech-nology, but also the importance of quality in processing data. The next chapter describes business performance management. The subchapters provide information about the types of control systems and their performance, balanced scorecard method, and types of indicators to measure performance. The chapter dealing with management applications for decision support describes how the above-mentioned technologies and processes can be used for managerial praxes. The practical part is divided into two chapters. The first chapter provides a suggestion of indicators for measuring the selling performance of retail companies. The second part deals with a selection of indicators for a prototype of a dashboard, which is incorporated into a Competence Center of Retail Analytics.

This thesis looks into problematic of data originating from visits of a company websites. It is partly devoted to web analytics and Business Intelligence. The aim was to create a tool for transforming and saving these data, their analysis and reporting. The product of this thesis was created for a management of a company specifically by their requests. It was made to support managerial decisions in creating a successful web strategy.

The purpose of this diploma thesis is to describe the basic principles of Business Intelligence, its meaning in business reporting with focus on ensuring relevant information for stakeholders and consequently to identify the major risk factors in complex data mapping process of a project carried out for an insurance company Solvency II regulatory reporting. The identification of risks is based on a detailed analysis of the mapping process and its weak points. The main benefit of the thesis will then be the proposed methods by which the risks are mitigated or entirely eliminated. The diploma thesis is focused on specific project, which delivers complex Business Intelligence solution in compliance with Solvency II European insurance regulatory reform. Therefore the flawless mapping of data and mitigation of risks are key to meet the Solvency II requirements on reporting in high quality. The introductory section of the thesis is devoted to definition of Business intelligence and its purpose in organizations. This part also includes the definition of key aspects of successful business reporting and its role in effective decision-making. The other part of the introductory section shortly represents the BI architecture and components of specific Solvency II BI solution. The second main section of the work defines the Solvency II project and describes the specificities of its implementation on a specific project for unnamed organization. Based on the experience of this project is then further described the mapping process of complex data sources. The result is a list of risks arising at each stage of mapping activities. As a completion of the main objective of the thesis there are suggested ways of mitigation for each risk. The benefit of this thesis is that identified risks and the recommendations for their mitigation might lead to more effective project management, increase the quality of its outcomes and satisfaction of company clients.

The thesis's primary focus is the visualization of data in Business Intelligence with broader ramifications because the framework defined here will be useful for making any design layout. It describes the cognitive aspects of perception for visualization and with this understanding the thesis will be able to summarize the rules which are necessary for right and functional design. The goal of design is to provide the information in the most understandable way. The author has surveyed individuals to find out how people are familiar with the rules for designing and the style of visualization that people prefer. The last part of this thesis is focused on the implementation of the findings with the ultimate goal to suggest a new BI reporting system. Being able to list and verify the rules of visualization on the path to implementation is the main benefit of this work.

Thesis is divided into two parts. First part is theoretic the second one is practically focused. In the theoretic focused part thesis examines area of open data sources and trends, which appears in this area. In practically oriented part are data processed with Business Intelligence methods. Goal of this part was show that it is possible to process this open data with help of BI and report them similarly, like data from companies and show obstacles, which can appear. Thesis is divided in six chapters. First chapter is introduction, second is searches, third one focuses on trends and use of open data, fourth shows, where open data can be found, fifth describes processing of chosen data with BI, sixth chapter is final and sums up work and describes fulfilling of goals.

The aim of the work is create and describe solution of automation and visualization of project boards in the specific manufacturing company. Methods and tools of Business Intelligence are used in this process. Project board is arranged summary of information, which is part of the monitor, in this context. There is for example information about produced pieces, the cost of poor quality, project Scorecard, downtime analyses, bottleneck of project, and so on. The theoretical part is dealing with description methods and components of Business Intelligence and serves to explanation basic principles on the basis of which are formed data staging area, data warehouse, OLAP cubes and dashboards. The main emphasis is on the practical part, in which is detail describe process of data elaboration from source data, which are taken primarily from MS Excel files, till data visualization in the form of dashboard. As software workspace were selected Microsoft products, specifically SQL Server Management Studio, Visual Studio and Excel which has been mentioned before. The main output is solution that will gradually fully replace paper project boards. This solution also brings both financial and time savings in the creation and managing project boards, because this process is automated.

This thesis solves the area of data visualization in Business Intelligence. We live in a time when the amount of data grows turbulently. These data need to be processed into a form with added value for management and business objectives of the company. The first task is to adjust the data into the required format, the second task is to choose the appropriate visualization so that the data are providing the highest value. This work deals with data visualization and its main aim is to introduce a different approach to data visualization, which has a higher added value than conventional visualization methods used in dashboards and reports. First of all, theoretical part is describing data area (including the trend of Big Data) and reporting (chapter 3). Followed by chapter 4, which is enriching the reader with the information about the need to deal with data visualization and also with the design theory of visualization components. The theoretical part is finished with fifth chapter. It deals with current trends in the field of data visualization and Business Intelligence and also introduces D3.js library as a tool for creating interactive and efficient visualization components. The practical part is offering suggestions for interactive and dynamic visualization of input data (chapter 6). It presents a convenient way to choose a visualization component with greater value than the traditional static component in the form of a graph or table. Proposals contained in D3.js library are presented to the reader. Chosen components according to the author are interesting from the view of design and, if properly used, offer an innovative approach to data visualization. For purposes of practical examples of visualization, author is using D3.js library and open source tool for Business Intelligence from Pentaho. Practical example is part of the final chapter 7.