{"id":11561,"date":"2024-04-29T15:00:55","date_gmt":"2024-04-29T14:00:55","guid":{"rendered":"https:\/\/members.dataiq.global\/?post_type=mec-events&#038;p=11561"},"modified":"2024-07-03T11:22:37","modified_gmt":"2024-07-03T10:22:37","slug":"roundtable-cdo-analytics-strategy-17-07-2024","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/roundtable-cdo-analytics-strategy-17-07-2024\/","title":{"rendered":"Roundtable &#8211; Helping CDOs accelerate their data and analytics strategy &#8211; FULLY BOOKED"},"content":{"rendered":"<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>Helping CDOs accelerate their data and analytics strategy<\/strong><\/span><\/p>\n<p class=\"x_MsoNormal\"><span style=\"font-family: Poppins; font-size: 17px;\">The data and analytics strategy should set the vision and detailed roadmap to explain how your organisation will use its data and analytics to realise your business objectives.<\/span><\/p>\n<p class=\"x_MsoNormal\"><span style=\"font-family: Poppins; font-size: 17px;\">The advent of AI and GenAI has and will continue to impact the role of the CDAO. Done properly, a data strategy will unite data-driven activity behind a clear set of business-aligned goals with a compelling vision and case for change to drive engagement and adoption.<\/span><\/p>\n<p class=\"x_MsoNormal\"><span style=\"font-family: Poppins; font-size: 17px;\">Join us to discuss: What are the key questions that lead to an effective data and AI strategy? How can you accelerate your strategy?<\/span><\/p>\n<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>Why should you attend?<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">Learn from other practitioners and share your experiences within your peer group<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">Create new contacts with other DataIQ members, extend your professional network into the wider community<\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>Format<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">1 hour, digital roundtable delivered via Teams<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">Closed forum, open discussion, recruiter and vendor-free, Chatham House rules<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">Small and focused group of senior data leaders<\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>Please be aware there are only limited places available on a first come, first served basis (one seat per member company). Priority will be given to senior data leaders and additional registrations will be added to a waitlist.<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This roundtable will examine important questions that lead to the creation of an effective data and analytics strategy.<\/p>\n","protected":false},"author":203,"featured_media":7126,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[237,173,238,123],"pillar":[198,193,194],"false":[83],"mec_speaker":[113],"mec_sponsor":[],"class_list":["post-11561","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","tag-data-leaders","tag-data-management","tag-data-skills","tag-data-strategy","pillar-governance","pillar-strategy","pillar-leadership","mec_category-roundtable"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/11561","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=11561"}],"version-history":[{"count":0,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/11561\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/7126"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=11561"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=11561"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=11561"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=11561"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=11561"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=11561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}