The master thesis deals with a theme of Open Source Business Intelligence tools from the point of view of a small company. The theoretical part describes the historical background of Open Source software and Business Intelligence theory. The practical part summarizes possibilities and properties of particular selected tools, based on implementation of partial activities with fi?ctional company data. Based on a multicriterial analysis, a variant proposal of BI solution for a specifi?c small company is created at the end of the thesis.

This thesis deals with Business Intelligence and its testing. It seeks to highlight the differences from the classical software testing and finally design a methodology for BI solutions testing that could be used in practice on real projects of BI companies. The aim of thesis is to design a methodology for BI solutions testing based on theoretical knowledge of Business Intelligence and software testing with an emphasis on the specific BI characteristics and requirements and also in accordance with Clever Decision's requirements and test it in practice on a real project in this company. The paper is written up on the basis of studying literature in the field of Business Intelligence and software testing from Czech and foreign sources as well as on the recommendations and experience of Clever Decision's employees. It is one of the few if not the first sources dealing with methodology for BI solutions testing in the Czech language. This work could also serve as a basis for more comprehensive methodologies of BI solutions testing. The thesis can be divided into theoretical and practical part. The theoretical part tries to explain the purpose of Business Intelligence use in enterprises. It elucidates particular components of the BI solution, then the actual software testing, various types of tests, with emphasis on the differences and specificities of Business Intelligence. The theoretical part is followed by designed methodology for BI solutions using a generic model for the BI/DW solution testing. The practical part's highlight is the description of real BI project testing in Clever Decision according to the designed methodology.

Offentliga företag har fått ett större intresse av att införa Business Intelligence-lösningar. Graden av framgång varierar mellan olika typer av industrier på grund av komplexa processer som är relaterade till höga kostnader. Syftet med studien var att identifiera de kritiska framgångsfaktorerna för att framgångsrikt införa en BI-lösning ur ett CFO-perspektiv. BI har en bred kategori av olika applikationer och teknologier som används för att samla in, lagra och analysera data för att sedan extrahera den. Denna data görs sedan tillgänglig för anställda i företaget för att hjälpa beslutsfattare att skapa professionella och informerade affärsbeslut. Studien genomfördes med hjälp av en kvalitativ innehållsanalys tillsammans med semi-strukturerade intervjuer. Intervjuer genomfördes med sju olika CFO:er för att få sina perspektiv angående vilka som är de kritiska framgångsfaktorer för att införa en BI-lösning. Innehållsanalysen genererade nio kategorier med flera underkategorier. Varje kategori och underkategori identifierar CSF ur ett CFO-perspektiv. De kategorier som identifierades var: Företagsledare med genomtänkta arbetslag, hållbar datakvalitet, slutanvändaren i fokus, extern hjälp bidrar med ett bredare perspektiv och kapacitet, mål och visioner, stöd från ledningen, iterativt tillvägagångssätt, affärsdriven expansion och agila tekniska ramar, och att ha rätt förutsättningar under hela implementeringen. Både studielitteraturen, CFO:erna och CFO:ernas rankning av CSF drar slutsatsen att alla framgångsfaktorer verkligen behövs för en framgångsrik BI-lösning. Alla CSF prioriteras däremot olika inom alla tre datakällor som fanns tillgängliga för studien. / Public companies have gotten a bigger interest in implementing Business Intelligence solutions. The level of success rate varies between various types of industries because of complex processes that are related to high costs. The aim of the study was to identify the critical success factors for implementing a BI-solution successfully from a Chief Financial Officers perspective. BI has a broad category of various applications and technologies that are used to collect, store and analyze data and then extract it and make the data available to employees in the company in order to help decision makers to create professional and informed business decisions. The study was conducted using a qualitative content analysis and semi-structured interviews making use of seven different CFO’s to follow up on their perspective on organizational critical successfactors for implementing a BI-solution. The content analysis generated nine categories with several sub-categories. Each category and sub-category defining CSF from a CFO’s point of view. The categories identified were: Business leaders with well-thought-out work teams, sustainable data quality, the end user in focus, external help contributes witha broader perspective and capacity, goals and visions, management support, iterative approach, business-driven expansion and agile technical framework, and having the right conditions through out the implementation. Both the study literature, respondents and the respondents’ ranking of the CSF conclude that all success factors are indeed CSF needed for a successful BI-implementation. However, the CSF were prioritized differently within all three data sources of material that were available for the study.