{"id":7050,"date":"2015-12-18T18:00:03","date_gmt":"2015-12-18T23:00:03","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=7050"},"modified":"2015-12-28T10:41:22","modified_gmt":"2015-12-28T15:41:22","slug":"hadoop-in-banking-changing-the-game","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/hadoop-in-banking-changing-the-game\/7050\/","title":{"rendered":"Hadoop in Banking: Changing the Game"},"content":{"rendered":"The reason for Hadoop\u2019s success in the banking and finance domain is its ability to address various issues faced by the financial industry at minimal cost and time. Despite the various benefits of Hadoop, to apply it to a particular problem needs due diligence. Some of the scenarios in which it is used are: Fraud Detection Hadoop addresses most common industry challenges like fraud, financial crimes and data breaches effectively. Analyzing point of sale, authorization and transactions, and other points, banks can identify and mitigate fraud. Big Data also helps in picking up unusual patterns and alerting banks <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/hadoop-in-banking-changing-the-game\/7050\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The reason for Hadoop\u2019s success in the banking and finance domain is its ability to address various issues faced by the financial industry at minimal cost and time. Despite the various benefits of Hadoop, to apply it to a particular problem needs due diligence. Some of the scenarios in which it is used are: Fraud [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[240,42,50,597],"class_list":["post-7050","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-banking","tag-big-data","tag-hadoop","tag-hexanika"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7050","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=7050"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7050\/revisions"}],"predecessor-version":[{"id":7052,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7050\/revisions\/7052"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=7050"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=7050"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=7050"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}