{"id":24119,"date":"2024-10-30T15:09:57","date_gmt":"2024-10-30T15:09:57","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&#038;p=24119"},"modified":"2025-01-22T11:34:14","modified_gmt":"2025-01-22T11:34:14","slug":"masterclass-embedding-your-data-literacy-programme-18-02-25","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/masterclass-embedding-your-data-literacy-programme-18-02-25\/","title":{"rendered":"Masterclass &#8211; Embedding your data literacy programme"},"content":{"rendered":"<p><span style=\"font-size: 17px;\">There is plenty of empirical evidence to justify investing in comprehensive data literacy programmes in terms of the benefits for organisations, whether these are in innovation, customer experience or employee retention.<\/span><\/p>\n<p><span style=\"font-size: 17px;\">Indeed, data literacy is a key component in driving data culture where decisions are consistently backed by data and everyone within the organisation, regardless of their role, is encouraged and empowered to use data in their work.<\/span><\/p>\n<p><span style=\"font-size: 17px;\">And yet, low data literacy levels, and an inadequate data culture and data skills are often cited as significant obstacles by Chief Data Officers (CDOs).<\/span><\/p>\n<p><span style=\"font-size: 17px;\">The speaker for this masterclass will be Marion Shaw.<\/span><\/p>\n<p><span style=\"font-size: 17px;\">You can register for this webinar using <a href=\"https:\/\/us02web.zoom.us\/webinar\/register\/WN_mAE-oJcXRQOplux35JYzHA\" rel=\"nofollow noopener\" target=\"_blank\">this form<\/a>.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Join us on this Masterclass to discuss embedding your data literacy programme. <\/p>\n","protected":false},"author":203,"featured_media":24122,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[217,484,85],"pillar":[],"false":[418],"mec_speaker":[478],"mec_sponsor":[],"class_list":["post-24119","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","tag-ai","tag-data","tag-strategy","mec_category-masterclass"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/24119","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/mec-events"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/203"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=24119"}],"version-history":[{"count":4,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/24119\/revisions"}],"predecessor-version":[{"id":28025,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/24119\/revisions\/28025"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/24122"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=24119"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=24119"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=24119"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=24119"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=24119"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=24119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}