This thesis addresses the principles and technologies of Big Data and their usage in the banking environment. Its objective is to find business application scenarios for Big Data for purposes of delivering added value for the bank. Finding the scenarios have been achieved by studying literature and consultation with experts, they were also subsequently modeled by the author. Possibilities of application of these scenarios in the banking busi-ness environment were subsequently verified by the survey, which interviewed profession-als on issues relating to the found business scenarios. The thesis first explains the basic con-cepts and approaches of Big Data, the status of this technology compared to traditional technologies and issues of integration into the banking environment. After this theoretical beginning the business scenarios are found and modeled followed by the exploration and evaluation. Selected business scenarios are further verified for the purpose of determining the suitability or unsuitability for implementation using technologies and principles of Big Data. The contribution of this work is to find a real use of Big Data in banking, where most of the materials on this topic is very general and vague. This thesis verifies two business scenarios that can big a bank institution high added value if they are implemented with Big Data platform.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:203992 |
| Date | January 2016 |
| Creators | Dvorský, Bohuslav |
| Contributors | Chlapek, Dušan, Palovská, Helena |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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