| Abstract [eng] |
78 pages, 25 pictures, 17 tables, 70 references, 2 appendices. The main purpose of this master thesis is to set the factors determining the quality management of business processes by applying business intelligence methods. The work consists of three main parts: the analysis of scientific literature, description and methodology of the author's research, research results and conclusions with recommendations. Based on scientific literature it has been established that the execution of complex business processes and ensuring smooth work are challenging in large financial sector organizations, therefore the implementation of process quality management principles is necessary for the organizations to maintain operational integrity and competitiveness. Both process and quality management rely on intensive monitoring and data analysis and so the insights generated by business analytics methods are usually of a high level and high practical value. The developed theoretical model for process quality improvement based on business intelligence methods along with content and qualitative interviews showed that the knowledge of business analytics methods and tools directly affects the data quality of the analyzed processes. Employees who did not have a good perception of the value of analytics also neglected data quality factors – the data collected often became worthless, unsuitable for analysis with business analytics tools. Cultural and social aspects such as employee motivation, involvement, sense of responsibility, openness to innovation are critical to the development of business intelligence technology in an organization. The lack of unified individual and organization-wide approach, meaning to analytics and process quality improvement leads to fragmented, haphazard and often non-useful analytical activities. |
