{"id":3687,"date":"2020-07-21T06:35:48","date_gmt":"2020-07-21T06:35:48","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2020\/07\/21\/discover-the-good-the-bad-and-the-ugly-of-two-dimensional-score-matrices\/"},"modified":"2020-07-21T06:35:48","modified_gmt":"2020-07-21T06:35:48","slug":"discover-the-good-the-bad-and-the-ugly-of-two-dimensional-score-matrices","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2020\/07\/21\/discover-the-good-the-bad-and-the-ugly-of-two-dimensional-score-matrices\/","title":{"rendered":"Discover The Good, The Bad And The Ugly Of Two-Dimensional Score Matrices"},"content":{"rendered":"<p>Author: Matt Mayo Editor<\/p>\n<div>Two-dimensional score matrices are used in marketing, origination, or account management to make decisions, with other variables or policy rules. Let&rsquo;s examine the pros and cons of this approach.<\/div>\n<p><a href=\"https:\/\/www.kdnuggets.com\/2020\/07\/fico-score-matrices.html\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Matt Mayo Editor Two-dimensional score matrices are used in marketing, origination, or account management to make decisions, with other variables or policy rules. Let&rsquo;s [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2020\/07\/21\/discover-the-good-the-bad-and-the-ugly-of-two-dimensional-score-matrices\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":460,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/3687"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=3687"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/3687\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/464"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=3687"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=3687"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=3687"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}