{"id":8209,"date":"2025-11-08T07:02:36","date_gmt":"2025-11-08T07:02:36","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/11\/08\/beyond-numbers-how-to-humanize-your-data-analysis\/"},"modified":"2025-11-08T07:02:36","modified_gmt":"2025-11-08T07:02:36","slug":"beyond-numbers-how-to-humanize-your-data-analysis","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/11\/08\/beyond-numbers-how-to-humanize-your-data-analysis\/","title":{"rendered":"Beyond Numbers: How to Humanize Your Data &amp; Analysis"},"content":{"rendered":"\n<div>Beyond Numbers: How to Humanize Your Data &#038; Analysis<\/div>\n<p> \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>The scintillating grid optical illusion is a perfect metaphor for how raw data can mislead us, causing us to see false trends. To escape the &#8220;data-rich, action-poor&#8221; paradox, organizations should need data humanization.<\/p>\n<p>This approach focuses on turning abstract metrics (the what) into clear, actionable stories (the why). It requires new roles like &#8220;Data Artisans,&#8221; a core competency in &#8220;Data Storytelling,&#8221; and a focus on proving the financial Impact (ROI) of these clearer insights.<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/beyond-numbers-how-to-humanize-your-data-analysis\/\">Beyond Numbers: How to Humanize Your Data &amp; Analysis<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Michal Szudejko<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/beyond-numbers-how-to-humanize-your-data-analysis\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Beyond Numbers: How to Humanize Your Data &#038; Analysis The scintillating grid optical illusion is a perfect metaphor for how raw data can mislead us, causing us to see false trends. To escape the &#8220;data-rich, action-poor&#8221; paradox, organizations should need data humanization. This approach focuses on turning abstract metrics (the what) into clear, actionable stories [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,4178,83,601,82,240,3311],"tags":[2996,84,7],"class_list":["post-8209","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-humanization","category-data-science","category-data-storytelling","category-data-visualization","category-editors-pick","category-storytelling","tag-beyond","tag-data","tag-how"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8209"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=8209"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8209\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=8209"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=8209"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=8209"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}