Software pro konsolidaci informací o právních osobách z otevřených zdrojů

Receiving, processing and storing data is an important part of every project, which is meant to be successful from a long-term point of view. These three processes are being applied both in the beginning and during the project. In the beginning, there is a need of getting knowledge from currently available resources. The collected data are then being processed and used as a foundation. In the course of processing the project, there is a need to apply these processes on the data received during the project, while aiming on optimization or expansion of new support processes. Origin of information could be either in printed sources or electronic sources. Nowadays are the electronic sources replacing the printed ones as they are more accessible, faster to search in and they take up much less space.The aim of this diploma thesis is to gain, transform and share data, that will be later used for a shared project, which deals with prediction of company failure, with the data source being public unpaid sources, where the web scraping is used for gaining information. The data transformation runs automatically and among others, it uses optical character recognition method. Final data are stored in a database and presented in a simple user interface, which allows filtering, sorting of data and as well smart export to xlsx format. This thesis documents the development from the beginning. It consists of analysis of similar systems, data analysis, design of the database structure and the programming itself.This thesis can be useful for those, who are interested in obtaining data from electronic sources or optical character recognition. It can be as well an inspiration to legal and natural persons, that are considering similar service, which could help to lead the business more successfully.