Increasing the information value of the data using modern approaches to visualization

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