{"id":6754,"date":"2017-11-16T11:36:59","date_gmt":"2017-11-16T16:36:59","guid":{"rendered":"http:\/\/52.90.157.176\/?p=6754"},"modified":"2021-12-02T23:33:25","modified_gmt":"2021-12-03T04:33:25","slug":"predictive-analytics-commercial-banking-secret-weapon","status":"publish","type":"post","link":"https:\/\/gnowise.com\/?p=6754","title":{"rendered":"Is Predictive Analytics Your Commercial Banking Secret Weapon?"},"content":{"rendered":"<section class=\"l-section wpb_row height_medium\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_flex valign_top type_default stacking_default\"><div class=\"vc_col-sm-12 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h2>Challange:\u00a0Data overload<\/h2>\n<p>There\u2019s no doubt that the data exists on real estate pricing and sales. The challenge is getting access to the most accurate data, and then analyzing it with the best prediction modeling possible. That\u2019s overwhelming for most data scientists, let alone commercial bankers who have other tasks to deal with.<\/p>\n<p>A recent <a href=\"http:\/\/www.frost.com\/sublib\/display-report.do?id=9A37-00-23-00-00\" target=\"_blank\" rel=\"noopener noreferrer\">Frost &amp; Sullivan report<\/a> explained how it is necessary to bridge the gap between data scientists and business pros like those in commercial finance and real estate. \u201cThe goal is to help organizations of all types discover and model patterns in their own data (and data they can get), so that profitable optimizations can be made to related business processes and systems,\u201d according to Big Data &amp; Analytics Analyst Sandy Borthick.<\/p>\n<h2>Gnowise Solution: Superhuman data analysis<\/h2>\n<p>Predictive analytics pulls together massive amounts of data and artificial intelligence to help deliver better value on client investments. With Gnowise predictions, hundreds of data series are taken into account, and this can be combined with other bank data for better user experiences.<\/p>\n<p>Further, Gnowise uses unique machine learning and data science simulations that can be adjusted to factor in the latest economic factors. Combined with all that valuable data and this platform can be considered superhuman.<\/p>\n<p>Early adopters of this technology will have a competitive edge. According to Borthick, \u201cData is all that matters and financial service providers are being left behind with legacy systems. Large tech firms and FinTech start-ups are leading in all of the major growth services, and data network effects will mean laggards can never catch up.\u201d The banks that adopt the right tools, access the best quality information and that can leverage it to make better customer experiences will be the ones that rise to the top.<\/p>\n<\/div><\/div><div class=\"w-popup w-btn-wrapper align_none\"><button class=\"w-popup-trigger type_btn w-btn us-btn-style_1\" aria-label=\"BOOK A DEMO\" type=\"button\"><span class=\"w-btn-label\">BOOK A DEMO<\/span><\/button><div class=\"w-popup-overlay\" style=\"background:rgba(0,0,0,0.85);\"><\/div><div class=\"w-popup-wrap layout_default\" role=\"dialog\" aria-modal=\"true\" aria-label=\"Popup\" style=\"--title-color:var(--color-content-heading);--title-bg-color:var(--color-content-bg-alt);--content-color:var(--color-content-text);--content-bg-color:var(--color-content-bg);--popup-width:400px;--popup-padding:40px;\"><button aria-label=\"Close\" class=\"w-popup-closer\" type=\"button\"><\/button><div class=\"w-popup-box animation_fadeIn closerpos_outside without_title\"><div class=\"w-popup-box-h\"><div class=\"w-popup-box-content\"><style type=\"text\/css\">\n\t#mc_embed_signup{background:#fff; clear:left; font:14px Helvetica,Arial,sans-serif; }<\/p>\n<p>\/* Add your own MailChimp form style overrides in your site stylesheet or in this style block.<\/p>\n<p>We recommend moving this block and the preceding CSS link to the HEAD of your HTML file. *\/<\/p>\n<\/style>\n<div id=\"mc_embed_signup\">\n<form id=\"mc-embedded-subscribe-form\" class=\"validate\" action=\"https:\/\/gnowise.us14.list-manage.com\/subscribe\/post?u=7651691c12e89452b8a884f8a&amp;id=bb17767cdf\" method=\"post\" name=\"mc-embedded-subscribe-form\" novalidate=\"\" target=\"_blank\">\n<div id=\"mc_embed_signup\">\n<div id=\"mc_embed_signup_scroll\">\n<h2><strong>Let&#8217;s Begin<\/strong><\/h2>\n<p>a Dialogue<\/p>\n<p>Discover how Gnowise can help you make smarter decisions.<\/p>\n<div class=\"indicates-required\">\n<div class=\"mc-field-group\"><label for=\"mce-EMAIL\">\u00a0<\/label><input id=\"mce-FNAME\" class=\"required fname\" name=\"FNAME\" type=\"text\" value=\"\" placeholder=\"First Name *\" \/><\/div>\n<div class=\"mc-field-group\"><label for=\"mce-EMAIL\">\u00a0<\/label><input id=\"mce-LNAME\" class=\"required lname\" name=\"LNAME\" type=\"text\" value=\"\" placeholder=\"Last Name *\" \/><\/div>\n<div class=\"mc-field-group\">\n<p><label for=\"mce-EMAIL\">\u00a0<\/label><\/p>\n<p><input id=\"mce-EMAIL\" class=\"required email\" name=\"EMAIL\" type=\"email\" value=\"\" placeholder=\"Email Address *\" \/><\/p>\n<\/div>\n<div class=\"mc-field-group size1of2\"><label for=\"mce-EMAIL\">\u00a0<\/label><input id=\"mce-MMERGE3\" class=\"\" name=\"MMERGE3\" type=\"text\" value=\"\" placeholder=\"Phone Number\" \/><\/div>\n<div class=\"mc-field-group\">\n<p><label for=\"mce-EMAIL\">\u00a0<\/label><\/p>\n<p><select id=\"mce-BUSINESS\" class=\"required business\" name=\"BUSINESS\"><option value=\"\"><\/option><option value=\"Lender\">Lender<\/option><option value=\"Appraisal\">Appraisal<\/option><option value=\"Investor\">Investor<\/option><option value=\"Real Estate Broker\">Real Estate Broker<\/option><option value=\"Real Estate Developer\">Real Estate Developer<\/option><option value=\"Insurance Companies\">Insurance Companies<\/option><\/select><\/p>\n<\/div>\n<div class=\"mc-field-group\"><label for=\"mce-EMAIL\">\u00a0<\/label><input id=\"mce-USE\" class=\"\" name=\"USE\" type=\"text\" value=\"\" placeholder=\"How are you hoping to use Gnowise?\" \/><\/div>\n<div id=\"mce-responses\" class=\"clear\"><\/div>\n<p><!-- real people should not fill this in and expect good things - do not remove this or risk form bot signups--><\/p>\n<div style=\"position: absolute; left: -5000px;\" aria-hidden=\"true\"><input tabindex=\"-1\" name=\"b_7651691c12e89452b8a884f8a_bb17767cdf\" type=\"text\" value=\"\" \/><\/div>\n<p>&nbsp;<\/p>\n<div class=\"clear\"><input id=\"mc-embedded-subscribe\" class=\"button\" name=\"subscribe\" type=\"submit\" value=\"Book Now\" \/><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/form>\n<p><script type='text\/javascript' src='\/\/s3.amazonaws.com\/downloads.mailchimp.com\/js\/mc-validate.js'><\/script><script type='text\/javascript'>(function($) {window.fnames = new Array(); window.ftypes = new Array();fnames[1]='FNAME';ftypes[1]='text';fnames[2]='LNAME';ftypes[2]='text';fnames[0]='EMAIL';ftypes[0]='email';fnames[3]='MMERGE3';ftypes[3]='phone';fnames[4]='BUSINESS';ftypes[4]='dropdown';fnames[5]='USE';ftypes[5]='text';}(jQuery));var $mcj = jQuery.noConflict(true);<\/script><\/p>\n<p><!--End mc_embed_signup--><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"Challange:\u00a0Data overload There\u2019s no doubt that the data exists on real estate pricing and sales. The challenge is getting access to the most accurate data, and then analyzing it with the best prediction modeling possible. That\u2019s overwhelming for most data scientists, let alone commercial bankers who have other tasks to deal with. A recent Frost...","protected":false},"author":5,"featured_media":6755,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[5,15,11],"tags":[],"class_list":["post-6754","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-commercial-finance-banking","category-machine-learning"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/gnowise.com\/index.php?rest_route=\/wp\/v2\/posts\/6754","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gnowise.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gnowise.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gnowise.com\/index.php?rest_route=\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/gnowise.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6754"}],"version-history":[{"count":1,"href":"https:\/\/gnowise.com\/index.php?rest_route=\/wp\/v2\/posts\/6754\/revisions"}],"predecessor-version":[{"id":7392,"href":"https:\/\/gnowise.com\/index.php?rest_route=\/wp\/v2\/posts\/6754\/revisions\/7392"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gnowise.com\/index.php?rest_route=\/wp\/v2\/media\/6755"}],"wp:attachment":[{"href":"https:\/\/gnowise.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6754"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gnowise.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6754"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gnowise.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6754"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}