Building and Using Data Marts in Banking Based on Big Data Analysis

Student: Osipov Lev

Educational Programme: Electronic Business (Master)

Year of Graduation: 2018

Currently, the concept of big data has evolved from a popular IT trend into widely used technologies for collecting and analyzing large amounts of data, and large number of business processes and separate products are based on it. Special attention should be paid to the so-called data marts, which are arrays of narrowly focused information used in solving specific applications. This work covers the problem of building and using data marts in the banking sector. On the basis of existing models, as well as standards of a particular bank, a methodology for the development and implementation of data marts (with details to specific business processes) is proposed. The developed method is tested in the creation of new banking products, and the calculation of their economic efficiency is organized in order to verify the relevance and usefulness of the implemented model.

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