The theme of the diploma thesis deals with the description and improvement of business process inside of the service company. The Goal is to formalize current state of business processes in the Czech division of international hardware producer and provide overall view on the processes for the company management. In the first section there is a company profile described by organisation chart, strategy, SWOT analysis and brief description of the internal information system. The middle part contains descriptive tables and Event-driven process chains of three main processes and their subprocesses. In the all processes there are identified few weaknesses that are the base for the last section. The final part suggests specific improvements to the weaknesses. It is author's proposals for solving difficulties inside of the processes. In conclusion all of the plans are grouped by every single role in the process.

The theoretical part will be focused on presenting information within the process management. Some of the pieces of this theoretical information will be were slightly modified by internal Continental procedures and applied in the practical part of the thesis in order to redesign current purchasing process of non production material. The contents of the practical part of this thesis are the analysis of the current purchasing process of non-production material in the plant of Continental. The intention is to identify the waste and obstacles in the process. The main target is to improve the process in consideration of efficiency, lead time reduction and, if applicable, cost savings. Once the waste in the process is identified, the 100% value added ideal state is going to be developed, under consideration of implementing the improvements, which have been identified in the current state. Based on the differences between the current state and the ideal state of the process, the future state is going to be mapped.

This thesis engages in process modelling and description of selected business processes which are underway in the department of Economy and Operation of the Czech TV, in Television studio in Brno. The process models are created using the CASE tool Adonis. The theoretical part is focused on clarifying important concepts, methodologies and tools in the process management. In the analytical part, the selected processes are thoroughly described and graphically illustrated. The proposal part of the thesis highlights the improvement of selected business processes and assesses their effectiveness.

In recent years there has been an increasing interest in understanding how organizations can utilize big data in their process management to create value and improve their processes. This is due to new challenges for process management which have arisen from increasing competition and the complexity of large data sets due to technological advancements. These large data sets have been described by scholars as big data which involves data that are so complex traditional data analysis software are not sufficient in managing or analyzing them. Because of the complexity of handling such great volumes of data there is a big gap in practical examples where organizations have incorporated big data in their process management. Therefore, in order to fill relevant gaps and contribute to advancements in this field, this thesis will explore how big data can contribute to improved process management. Hence, the aim of this thesis entailed investigating how, why and to what extent big data is used in process management. As well as to outline the purpose and challenges of using big data in process management. This was accomplished through a literature review and a survey, respectively, in order to understand how big data had previously been used to create value and improve processes in organizations. From the extensive literature review, an analysis matrix of how big data is used in process management is provided through the intersections between big data and process management dimensions. The analysis matrix showed that most of the instances in which big data was used in process management were in process analysis & improvement and process control & agility. Simply put, organizations used big data in specific activities involved in process management but not in a holistic manner. Furthermore, the limited findings from the survey indicate that the main challenges and purposes of big data use in Swedish organizations are the complexity of handling data and making statistically better decisions, respectively.