Big data in banking industry

Mohammad Ghalamkaran

Bakalářská práce

Abstract:

The aim of this bachelor thesis is to implement Big Data into a case company “Mobank”, which is founded in 04.07.1997 in Frankfurt, Germany. Further details of this bank properties are available in practical part of this thesis. This work is intended for financial sector of the banking industry with the usage of Heuristic Machine Learning Imputation (HMLI), which deals with different sets of missing data. The thesis consists of two major part: theoretical part and practical work. In the first part, the literature review of chosen methodology will be provided. It means that every aspect of Big Data will be precisely described. It includes detailed description of different Big Data definitions, storage and processing, architecture and its impact on financial sectors. In practical section of this thesis, the above-mentioned case company, its issue of missing data and selected solution will be evaluated and calculated for its efficiency and suitability. The data will be presented in the form of tables. Based on the results and the literature review, final conclusion will be made.

Keywords

Big Data, Banking Industry, Finance, Information Technology, Data Storage, Data Process

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 15. 3. 2021

Obhajoba závěrečné práce

• Vedoucí: Ing. Jan Pavlík

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Bakalářský studijní program / obor:
Systems Engineering and Informatics / Informatics