{"id":8010,"date":"2018-01-11T08:44:42","date_gmt":"2018-01-11T08:44:42","guid":{"rendered":"http:\/\/bulletins.bfconsulting.com\/?p=8010"},"modified":"2018-01-16T12:48:00","modified_gmt":"2018-01-16T12:48:00","slug":"big-data-uses-in-financial-institutions","status":"publish","type":"post","link":"https:\/\/bulletins.bfconsulting.com\/en\/big-data-uses-in-financial-institutions\/","title":{"rendered":"Big Data uses in financial institutions"},"content":{"rendered":"<p>The usefulness of Big Data and how this type of analytics can be deployed in financial institutions is only starting to be understood in Kazakhstan. Specifically, there are a number of projects being implemented in the country to study how a number of indicators from various data sources affect financial discipline. For example, a testing phase in being concluded which aims to correlate data from mobile carriers with a borrower\u2019s fulfillment of his\/her repayment obligations. Similar projects in Russia have resulted in an increase of 5-7% in the effectiveness of credit scoring. Social scoring (obtaining data from social media websites such as Facebook and Vkontakte) and psychometric scoring (based on responses to specially formulated questions) are also being studied for their potential to enhance credit scoring.<\/p>\n<div class=\"rpbt_shortcode\">\n\n<div id='rpbt-related-gallery-1' class='gallery related-gallery related-galleryid-8010 gallery-columns-3 gallery-size-thumbnail'><figure class='gallery-item' role='group' aria-label='FinNext 2018 conference to be held in Moscow on February 15th'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/finnext-2018-conference-to-be-held-in-moscow-on-february-15th\/'><img width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2018\/02\/5a3d21b270eba-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" decoding=\"async\" aria-describedby=\"rpbt-related-gallery-1-8535\" loading=\"lazy\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-8535'>\n\t\t\t\tFinNext 2018 conference to be held in Moscow on February 15th\n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item' role='group' aria-label='Reduced online lending in Kazakhstan thanks to tightened rules'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/reduced-online-lending-in-kazakhstan-thanks-to-tightened-rules\/'><img width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2019\/02\/reduced-online-lending-in-kazakhstan-thanks-to-tightened-rules-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" decoding=\"async\" aria-describedby=\"rpbt-related-gallery-1-12248\" loading=\"lazy\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-12248'>\n\t\t\t\tReduced online lending in Kazakhstan thanks to tightened rules\n\t\t\t\t<\/figcaption><\/figure><figure class='gallery-item' role='group' aria-label='Anelik bank introduces \u2018Hello, Anelik\u2018 system'>\n\t\t\t<div class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/bulletins.bfconsulting.com\/en\/anelik-bank-introduces-hello-anelik-system\/'><img width=\"150\" height=\"150\" src=\"https:\/\/bulletins.bfconsulting.com\/wp-content\/uploads\/2017\/12\/17796409_1418121334918001_1197561987699469549_n-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" decoding=\"async\" aria-describedby=\"rpbt-related-gallery-1-7524\" loading=\"lazy\" \/><\/a>\n\t\t\t<\/div>\n\t\t\t\t<figcaption class='wp-caption-text gallery-caption' id='rpbt-related-gallery-1-7524'>\n\t\t\t\tAnelik bank introduces \u2018Hello, Anelik\u2018 system\n\t\t\t\t<\/figcaption><\/figure>\n\t\t<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>The usefulness of Big Data and how this type of analytics can be deployed in financial institutions is only starting to be understood in Kazakhstan. Specifically, there are a number of projects being implemented in the country to study how a number of indicators from various data sources affect financial discipline. For example, a testing &hellip;<\/p>\n","protected":false},"author":5,"featured_media":8011,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10,76],"tags":[80,196,197],"_links":{"self":[{"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/posts\/8010"}],"collection":[{"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/comments?post=8010"}],"version-history":[{"count":3,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/posts\/8010\/revisions"}],"predecessor-version":[{"id":8179,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/posts\/8010\/revisions\/8179"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/media\/8011"}],"wp:attachment":[{"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/media?parent=8010"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/categories?post=8010"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bulletins.bfconsulting.com\/en\/wp-json\/wp\/v2\/tags?post=8010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}