{"id":8986,"date":"2023-11-10T10:24:31","date_gmt":"2023-11-10T10:24:31","guid":{"rendered":"https:\/\/exb.de\/blog\/datenaufbereitung\/"},"modified":"2026-06-12T14:42:21","modified_gmt":"2026-06-12T14:42:21","slug":"data-preparation","status":"publish","type":"blog","link":"https:\/\/exb.de\/en\/blog\/data-preparation\/","title":{"rendered":"Data Preparation"},"excerpt":{"rendered":"<p>We live in an era of digitalization in which data and its importance for your company is constantly growing. Statistical data analysis methods can help to identify patterns and trends. This is crucial in order to use your data efficiently for your business purposes and to achieve your business goals.<br \/>\nData quality plays a decisive role here, as errors can influence data analysis results. Data cleansing and plausibility checks are important methods of data preparation to ensure the quality of your data.<\/p>\n","protected":false},"author":8,"featured_media":7683,"template":"","blog-kategorien":[67],"class_list":["post-8986","blog","type-blog","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/exb.de\/en\/wp-json\/wp\/v2\/blog\/8986","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/exb.de\/en\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/exb.de\/en\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/exb.de\/en\/wp-json\/wp\/v2\/users\/8"}],"version-history":[{"count":3,"href":"https:\/\/exb.de\/en\/wp-json\/wp\/v2\/blog\/8986\/revisions"}],"predecessor-version":[{"id":16456,"href":"https:\/\/exb.de\/en\/wp-json\/wp\/v2\/blog\/8986\/revisions\/16456"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/exb.de\/en\/wp-json\/wp\/v2\/media\/7683"}],"wp:attachment":[{"href":"https:\/\/exb.de\/en\/wp-json\/wp\/v2\/media?parent=8986"}],"wp:term":[{"taxonomy":"blog-kategorien","embeddable":true,"href":"https:\/\/exb.de\/en\/wp-json\/wp\/v2\/blog-kategorien?post=8986"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}