{"id":96,"date":"2021-03-31T10:11:28","date_gmt":"2021-03-31T10:11:28","guid":{"rendered":"https:\/\/datanovel.com\/home\/?p=96"},"modified":"2021-04-02T21:46:13","modified_gmt":"2021-04-02T21:46:13","slug":"improving-the-total-spend-reporting","status":"publish","type":"post","link":"https:\/\/www.datanovel.com\/home\/improving-the-total-spend-reporting\/","title":{"rendered":"Improving the total spend reporting"},"content":{"rendered":"\n<p>The Datanovel report allows the improvement of the accuracy of the total spend report (specifically for the tail end), thereby enabling you to negotiate better discounts:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>for every single supplier with multiple duplicated records in the vendor file<\/li><li>for each supplier family.<\/li><\/ul>\n\n\n\n<p>More on improving spend reporting:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/datanovel.com\/home\/?p=26\">Revealing Supplier Families in Tail-spend<\/a><\/li><\/ul>\n\n\n\n<p>Testing existing consolidated spend report against Datanovel findings allows underlining purchasing power that has not yet been utilised.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Datanovel report allows the improvement of the accuracy of the total spend report (specifically for the tail end), thereby enabling you to negotiate better discounts: for every single supplier with multiple duplicated records in the vendor file for each supplier family. More on improving spend reporting: Revealing Supplier Families in Tail-spend Testing existing consolidated&hellip;<\/p>\n","protected":false},"author":1,"featured_media":97,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","footnotes":""},"categories":[2],"tags":[],"class_list":["post-96","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tail-spend-purchasing-power"],"_links":{"self":[{"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/posts\/96","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/comments?post=96"}],"version-history":[{"count":3,"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/posts\/96\/revisions"}],"predecessor-version":[{"id":275,"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/posts\/96\/revisions\/275"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/media\/97"}],"wp:attachment":[{"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/media?parent=96"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/categories?post=96"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.datanovel.com\/home\/wp-json\/wp\/v2\/tags?post=96"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}