Comparison of Self-Service Business Intelligence tools

The objective of my diploma thesis is an analysis and comparison of commercial Self-Service Business Intelligence tools. Publication compares Microsoft Power BI and Tableau software tools. In the first theoretical chapter, which includes overview of publications related to main topic, I explain the Business Intelligence and its architecture in currently used approaches: standard, In-memory and Self-Service. The chapter also explains the pros and cons of changing the current IT environment to Self-Service BI model and the related roles. The analytical chapter covers definition of suitable parameters, which are used for compari-son of chosen tools by multicriterial analysis of different approaches. Parameters and met-rics are grouped by several layers following the BI architecture concept. These layers are data, transformation, presentation, publishing and comunity layer. To set the criteria weig-hts, the Fuller method is used and the results are achieved by weighted sum of acquired values. The main benefit of diploma thesis is a comparison of chosen Self-Service BI tools and their analysis by various criteria. Reader should get the complex picture of Business Intelli-gence topic and will be able to choose the right tool for his needs and be familiar with its pros and cons