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2
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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.
Detailed record
BI as a service
Musil, Martin
;
Slánský, David
(advisor) ;
Pour, Jan
(referee)
The main objective of the thesis is to present SaaS business intelligence as a set of concepts and methods aimed at improvement of business decision making process based on Software as a Service model. To understand this, it's important to describe first general principles, on which are based conventional so-called on-premises solutions and the means how they work. It's also necessary to present Software as a Service as today's very popular software deployment model. Further objective is the description of these solutions, introduction of their strengths, weaknesses and guidelines how to choose a suitable service provider. Final objective of the thesis is to compare these two different methods of BI tools deployment, in that case on-premises and on-demand and to sketch out means, following them will be possible to decide for one of the methods.
Detailed record
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