{"id":10333,"date":"2024-03-27T14:39:24","date_gmt":"2024-03-27T14:39:24","guid":{"rendered":"https:\/\/members.dataiq.global\/?post_type=mec-events&#038;p=10333"},"modified":"2024-10-03T07:56:23","modified_gmt":"2024-10-03T06:56:23","slug":"afl-module-8-how-to-lead-a-data-function","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/afl-module-8-how-to-lead-a-data-function\/","title":{"rendered":"AFL Module 8 &#8211; How to lead a data function"},"content":{"rendered":"<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>Module 8 \u2013 How to lead a data function\u00a0<\/strong><\/span><\/p>\n<p><strong>Session leader: <\/strong>David Reed, chief knowledge officer, DataIQ<\/p>\n<p><strong>Expert tutor: <\/strong>David Hayes, chief data officer, The Open University<\/p>\n<p>In this module you will learn about the specific challenges that are presented when leading teams of data practitioners, analysts and data scientists. You will consider the motivations and incentives that ensure your data colleagues stay focused, engaged and perform to their best abilities.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Explore how to manage groups of data practitioners, analysts and data scientists\u00a0and learn how\u00a0to motivate and engage your colleagues for success.<\/p>\n","protected":false},"author":203,"featured_media":8048,"comment_status":"closed","ping_status":"closed","template":"","tags":[428,228,481],"pillar":[193,194],"false":[454],"mec_speaker":[480],"mec_sponsor":[],"class_list":["post-10333","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","tag-data-academy","tag-data-culture","tag-data-leadership","pillar-strategy","pillar-leadership","mec_category-afl"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/10333","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=10333"}],"version-history":[{"count":1,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/10333\/revisions"}],"predecessor-version":[{"id":23885,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/10333\/revisions\/23885"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/8048"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=10333"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=10333"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=10333"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=10333"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=10333"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=10333"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}