{"id":41157,"date":"2026-02-18T14:16:51","date_gmt":"2026-02-18T14:16:51","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&#038;p=41157"},"modified":"2026-02-18T14:25:05","modified_gmt":"2026-02-18T14:25:05","slug":"accelerator-wide-data-literacy-02-04-2026","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/accelerator-wide-data-literacy-02-04-2026\/","title":{"rendered":"Best Practice for Starting Organisation Wide Data Literacy Programmes"},"content":{"rendered":"<p><strong>Join an exclusive peer discussion for senior data and AI leaders.<\/strong><\/p>\n<p>This small-group session offers a confidential space for senior professionals to exchange insights, share challenges, and learn from one another. While the session is designed exclusively for DataIQ clients, we occasionally welcome select guests who bring valuable perspectives to the conversation.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>DataIQ clients:<\/strong> Please secure your place via the <a href=\"https:\/\/hub.dataiq.global\/events\/best-practice-for-starting-organisation-wide-data-literacy-programmes\" rel=\"nofollow noopener\" target=\"_blank\">DataIQ Hub.<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n<p><strong>Questions to be discussed:<\/strong><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"%1.\" data-font=\"Aptos\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">What are the elements of successful, organization wide data literacy program?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li aria-setsize=\"-1\" data-leveltext=\"%1.\" data-font=\"Aptos\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">What are success factors and pitfalls to avoid?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<li aria-setsize=\"-1\" data-leveltext=\"%1.\" data-font=\"Aptos\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">What techniques and materials effectively build data engagement and data fluency?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><b>Who should attend:\u00a0<\/b>\u00a0<\/p>\n<p><span data-contrast=\"auto\">This session is designed for senior data and AI leaders who:\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Are responsible for\u00a0creating or delivering data literacy or data engagement programmes<\/span><\/li>\n<\/ul>\n<p>And\u00a0<\/p>\n<ul>\n<li><span data-contrast=\"auto\">Operate within organisations with varied levels of data awareness and limited resources<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n<p><strong>Accelerator format:<\/strong><\/p>\n<p>These are 60-minute panel discussion type events, that allow up to 10 participants to work through a set of questions from the host participant. We curate every panel to ensure the right working group is in place to provide ideas, suggestions and perspectives towards the case.\u00a0<\/p>\n<p>&nbsp;<\/p>\n<p>In each session you can expect:<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>Prequalified group of experts in the area<\/li>\n<li>A round of introductions to each participant (up to 10 people)<\/li>\n<li>An in-depth discussion with inputs from cross-industry participants<\/li>\n<li>Concrete take-aways and action plan for moving forward<\/li>\n<\/ul>\n<p>\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n<p><b>How to apply if you are not a client:<\/b><\/p>\n<p><span data-teams=\"true\">If you are currently not subscribed to the DataIQ service, but would like to join this session, you can apply to be considered for participation by filling in the form below.<\/span><\/p>\n<p><em>DataIQ clients: Please secure your place via the <a href=\"https:\/\/hub.dataiq.global\/events\/best-practice-for-starting-organisation-wide-data-literacy-programmes\" rel=\"nofollow noopener\" target=\"_blank\">DataIQ Hub.<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Designing scalable data literacy programmes that drive engagement and capability across the organisation.<\/p>\n","protected":false},"author":419,"featured_media":41159,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[1267,1180],"pillar":[],"false":[1235],"mec_speaker":[],"mec_sponsor":[],"class_list":["post-41157","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","tag-accelerator","tag-conference","mec_category-accelerator"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41157","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\/419"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=41157"}],"version-history":[{"count":4,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41157\/revisions"}],"predecessor-version":[{"id":41162,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41157\/revisions\/41162"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/41159"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=41157"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=41157"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=41157"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=41157"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=41157"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=41157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}