BIG DATA: ISPOL'ZOVANIE VOZMOZHNOSTEY OPERACIONNOY ANALITIKI V PROCESSE OCENKI BANKOVSKIH RISKOV
Abstract and keywords
Abstract (English):
This article is devoted to describing the capabilities of tools, technologies and skills to use big data in the banking sector, in particular when performing such basic functions of the Bank, as the assessment of creditworthiness of clients in addressing issues about their loans. Describes the main characteristics of Big Data and principles of operation of credit institutions with large amounts of data, attempt to identify principles of application of this technology in the Bank.

Keywords:
big data, big data, traditional analytics, operational analytics, banking risk
Text
This article is devoted to describing the capabilities of tools, technologies and skills to use big data in the banking sector, in particular when performing such basic functions of the Bank, as the assessment of creditworthiness of clients in addressing issues about their loans. Describes the main characteristics of Big Data and principles of operation of credit institutions with large amounts of data, attempt to identify principles of application of this technology in the Bank.
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