{"id":39299,"date":"2025-12-22T16:16:36","date_gmt":"2025-12-22T16:16:36","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&#038;p=39299"},"modified":"2026-04-22T14:18:33","modified_gmt":"2026-04-22T13:18:33","slug":"peer-exchange-data-products-april-2026","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/peer-exchange-data-products-april-2026\/","title":{"rendered":"Making Data Products Work in Practice"},"content":{"rendered":"<p>This half-day, in-person peer exchange brings together senior data and analytics leaders from our client organisations to share practical experiences, approaches, and lessons learned in building data products that are adopted, sustained, and able to demonstrate clear business value.<\/p>\n<p><strong>DataIQ clients:<\/strong> Please secure your place via the <a href=\"https:\/\/hub.dataiq.global\/events\/half-day-peer-exchange-making-data-products-work-in-practice\" rel=\"nofollow noopener\" target=\"_blank\">DataIQ Hub.<\/a><\/p>\n<p><strong>Why Attend?<\/strong><\/p>\n<table style=\"width: 100%; border-collapse: collapse; border-color: #ffffff; background-color: #ffffff;\" cellspacing=\"15\" cellpadding=\"15\">\n<tbody>\n<tr>\n<td style=\"width: 33.3333%; background-color: #ffffff; border-color: #ffffff; text-align: center;\">\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dataiq.global\/devstage\/wp-content\/uploads\/Iconimage2PE25.webp\" alt=\"\" width=\"150\" height=\"150\" title=\"\"><\/p>\n<p>Hear practical case studies showcasing how leading organisations are successfully building data products.<\/p>\n<\/td>\n<td style=\"width: 33.3333%; background-color: #ffffff; border-color: #ffffff; text-align: center;\">\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dataiq.global\/devstage\/wp-content\/uploads\/Iconimage1PE25.png\" alt=\"\" width=\"150\" height=\"150\" title=\"\"><\/p>\n<p>Exchange with a pre-qualified group of data and AI peers, for valuable, long lasting connections.<strong><br \/>\n<\/strong><\/p>\n<\/td>\n<td style=\"width: 33.3333%; background-color: #ffffff; border-color: #ffffff; text-align: center;\">\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dataiq.global\/devstage\/wp-content\/uploads\/Iconimage3PE25.png\" alt=\"\" width=\"150\" height=\"150\" title=\"\"><\/p>\n<p>Participate in focused, small group discussions, allowing to dive deeper into the subject.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p data-ccp-border-bottom=\"2px solid #000000\" data-ccp-padding-bottom=\"1.3333333333333333px\">\u00a0<\/p>\n<p data-ccp-border-bottom=\"2px solid #000000\" data-ccp-padding-bottom=\"1.3333333333333333px\"><strong>What to Expect at our In-Person Event?<\/strong><\/p>\n<table style=\"height: 60px; width: 100%; border-collapse: collapse;\" cellspacing=\"8\" cellpadding=\"8\">\n<tbody>\n<tr style=\"height: 36px;\">\n<td style=\"width: 25%; text-align: center; height: 36px;\"><strong>25<\/strong><\/td>\n<td style=\"width: 25%; text-align: center; height: 36px;\"><strong>2<\/strong><\/td>\n<td style=\"width: 25%; text-align: center; height: 36px;\"><strong>Multiple<\/strong><\/td>\n<td style=\"width: 25%; text-align: center; height: 36px;\"><strong>Vendor-free<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 24px;\">\n<td style=\"width: 25%; text-align: center; height: 24px;\">\n<p>Pre-qualified data and AI leaders.<\/p>\n<\/td>\n<td style=\"width: 25%; text-align: center; height: 24px;\">Practical case studies.<\/td>\n<td style=\"width: 25%; text-align: center; height: 24px;\">In-depth discussions, with clear take-aways.<\/td>\n<td style=\"width: 25%; text-align: center; height: 24px;\">\n<p>Open, vendor-free environment &#8211; No sales pitches.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p data-ccp-border-bottom=\"2px solid #000000\" data-ccp-padding-bottom=\"1.3333333333333333px\">\u00a0<\/p>\n<hr \/>\n<p data-ccp-border-top=\"0px none \" data-ccp-padding-top=\"0px\"><strong>Agenda:<\/strong><\/p>\n<ul>\n<li>14:30-15:00: Registration<\/li>\n<li>15:00-15:15: Welcome<\/li>\n<li>15:15-15:40: Session 1: <strong>Driving Adoption: Building Data Products People Actually Use<\/strong><\/li>\n<li>15:50-16:15: Session 2: <strong>Sustaining and Proving the Value of Data Products<\/strong><\/li>\n<li>16:25-16:55: Small Group Discussion<\/li>\n<li>16:55-17:15: Open Forum Discussion<\/li>\n<li>17:15-17:30: Closing remarks<\/li>\n<li>17:30-19:00: Networking<\/li>\n<\/ul>\n<hr \/>\n<p><b>About the format:<\/b>\u00a0<\/p>\n<p>In Person Peer Exchanges allow for a deeper dive into one subject area. They consist of three or four sessions, addressing different aspects of the main subject.\u202f\u00a0<\/p>\n<p>In each session you can expect:\u202f\u00a0<\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\">20min end-user case study\u202f\u00a0<\/li>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Q&amp;A\u202f\u00a0<\/li>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Small group discussion and open forum sharing\u00a0<\/li>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Summary of the key take-aways\u00a0<\/li>\n<\/ul>\n<hr \/>\n<p><b>How to apply if you are not a client:<\/b><\/p>\n<p>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.<\/p>\n<p><em>DataIQ clients: Please secure your place via the <a href=\"https:\/\/hub.dataiq.global\/events\/half-day-peer-exchange-making-data-products-work-in-practice\" rel=\"nofollow noopener\" target=\"_blank\">DataIQ Hub.<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In person peer exchnage for data governance leaders to share practical experiences and strategies on areas like AI governance and measuring value of data governance initiatives.<\/p>\n","protected":false},"author":741,"featured_media":40982,"comment_status":"closed","ping_status":"closed","template":"","tags":[217,304],"pillar":[198],"false":[1410],"mec_speaker":[],"mec_sponsor":[],"class_list":["post-39299","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","tag-ai","tag-upskilling","pillar-governance","mec_category-peer-exchange"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/39299","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\/741"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=39299"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/39299\/revisions"}],"predecessor-version":[{"id":39337,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/39299\/revisions\/39337"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/40982"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=39299"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=39299"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=39299"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=39299"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=39299"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=39299"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}