National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Analysis of analytical tools for supporti managerial decision-making
Kurdyukov, Mykyta ; Maryška, Miloš (advisor) ; Řezáč, Miroslav (referee)
This diploma thesis is devoted to comparison of analytical performance tools for visual data analysis in the context of Business Intelligence and Corporate Performance Management. The first part of the thesis is devoted to a description of Business Intelligence concept, which could be used as a source for gaining input data for analysis, its components and architecture. The next part is an analyzed concept of Corporate Performance Management, its single components, and the impact of using analytical tools for key management decisions. The theoretical part of the thesis will be based on the synthesis. The theoretical part of the thesis will be based on the synthesis of knowledge gained by studying specialized literature and professional articles. The practical part of this diploma thesis will be focused on testing of selected analytical tools based on metrics in CPM agendas. In this thesis the functionality of the tools will be explored, focused on the creation and presentation of the dashboards for the preparing foundation for the managerial decision-making. For the objective of comparing these tools a methodology, which will evaluate selected analytical tools based on relevant criteria and weightings will be defined. The main contribution of this diploma thesis is the result of the analysis of the comparison of the main possibilities of analytical instruments with the leading position on the global market.
The analysis of cloud-based Business Intelligence solutions for SMEs
Slavětínský, Radek ; Novotný, Ota (advisor) ; Kerol, Valeria (referee)
The thesis is focused on the analysis of presently offered products supporting Business Intelligence (BI) which are affordable for small and medium-sized enterprises (SMEs). Current BI solutions available to SMEs are mostly offered via Cloud computing, specifically in the form of Software as a Service (SaaS) as it requires low initial acquisition costs. The objectives of this thesis are to analyse the work in applications for BI in cloud that can be used by SMEs and to analyse in detail the comparison the worldwide extended reporting tools distributed as SaaS in the lower price category. The theoretical part provides a description of the Cloud computing and the BI system. In the practical part are selected following products: IBM Watson Analytics, Qlik Sense Cloud, Zoho Reports, Tableau Public and Microsoft Power BI. Practical testing of these applications was based on evaluation of the selected metrics with weights calculated by using the Fuller's triangle. Analyses and the information form the basis for comparison of selected applications. The contribution of this thesis is in discovering the strengths and weaknesses of these BI solutions. The output of this thesis can be used as a source for the selection of BI applications for SMEs.
Business Intelligence and cloud-based portal solutions
Veškrna, Tomáš ; Nedzelský, Roman (advisor) ; Novotný, Ota (referee)
The bachelor thesis is focused on a combination of technologies Business Intelligence and Cloud Computing in the form of BI solutions in the cloud. This concept is particularly suitable for small and medium-size enterprises, which usually cannot afford expensive conventional solutions. The main objective of this thesis is to generally present theme of BI, assess the benefits and weaknesses of cloud-based BI solutions and compare selected cloud-based BI applications by given criteria. The theoretical part includes acquaintance with the themes of business intelligence and cloud computing, mapping of current state and trends of the world market for BI and presenting of specific BI solutions provided as cloud services. There are described its strengths and weaknesses, architecture of cloud-based solutions and at the end are summarized main differences with traditional on-premises solution. In the practical part are at first listed and briefly described selected main providers of cloud-based BI solutions and their products on the world market. The main part of the practical part is a comparison and authors subjective point assessment of the IBM Watson Analytics and Microsoft Power BI applications according to selected criteria. This comparison of the two applications on the basis of their authors practical testing is also the main contribution of the thesis. It can therefore serve for example as auxiliary material in selecting a tool for companies with an interest in using cloud-based BI solutions.

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