Obtaining information by operational data mining from IBM Connections applications

Bachelor's thesis deals with area of corporate social networks especially with extracting informations from mined data of IBM Connections social network. The goal is to design a process of service "Visualization adoption of social network" that leads to finding informa-tions hidden in operational database. In the first section I focused on definition of theoretical terms that appear in this thesis. Furthermore, I have described the IBM Connections product including its modules and also I introduced Competence Centre for Collaboration Solutions. In the second section I devote to the design and implementation of service "Visualization adoption of social network". Besides describtion of the services process as a whole, are described as well as sub-processes of the tools that this service uses. In this part are given reasons for developing this tools, analysis and design of functionality and procedure of development and implementation. In the last section I devote to verify the correctness of designed services through its im-plementation in a real environment. First of all, I describe the method of implementation tools and service execution. The conclusion of this section is devoted to describtion of the obtained informations and their interpretations. The goal of this thesis was achieved by requirements analysis, selecting the appropriate technologies and tools development. The benefit of this thesis is the analysis and develo-ping "Visualization adoption of social network" services, by which is detected hidden in-formations from operational database IBM Connections social network and development of tools that perform this service greatly simplifies and speeds up.