{"id":27117,"date":"2025-02-12T12:37:47","date_gmt":"2025-02-12T12:37:47","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&#038;p=27117"},"modified":"2025-03-13T12:41:49","modified_gmt":"2025-03-13T12:41:49","slug":"workshop-data-storytelling-04-06-25","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/workshop-data-storytelling-04-06-25\/","title":{"rendered":"Storytelling with Data Workshop"},"content":{"rendered":"<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>Find out how to create commercially relevant and engaging stories from complex data sets by:<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">Developing and co-creating early story hypotheses.<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">Using storytelling structures to build evidence-based messages.<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">Incorporating tried and tested techniques to build a connection with the audience, engage them with the message, and motivate them to act.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: Poppins; font-size: 17px;\">This 2-hour workshop will teach you how to distil large data sets into a punchy, powerful story. It will provide you with the tools and techniques to transform detailed project outputs into a succinct narrative and develop a compelling story with an engaging start, middle and end, resulting in more impactful presentations and reports.<\/span><\/p>\n<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>Typical challenges this course will help you address include:<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">How do I decide what to keep in and leave out of my presentation to avoid overwhelming the audience?<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">How do I highlight the \u2018so what\u2019s?\u2019 and \u2018now what\u2019s?\u2019 to ensure I provide meaningful and actionable insight, not a data dump?<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">How do I ensure that my story stands out from all the other ideas and recommendations shared within the business?<\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>5 key take-outs from the training by previous delegates include:<\/strong><\/span><\/p>\n<ol>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">The fact that humans need more than numbers and logic to make decisions and that it is possible to bring in emotion in data storytelling.<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">The role of top-down thinking in giving the story an anchor and that this can also save us time when pulling together our charts.<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">The value in having a storytelling framework to help select the right evidence to support the argument.<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">The value in spending time reflecting on what works for the audience, rather than just typing what we want to share.<\/span><\/li>\n<li><span style=\"font-family: Poppins; font-size: 17px;\">The importance of a good title, hook and ending if we want to attract and maintain the audiences\u2019 attention.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>Learning Outcomes<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"font-size: 17px;\">Learn how to win and keep attention, even with non-numerate audiences.<\/span><\/li>\n<li><span style=\"font-size: 17px;\">Create a clear, compelling and insightful narrative quickly and efficiently using the StORI process.<\/span><\/li>\n<li><span style=\"font-size: 17px;\">Understand what role a clear recommendation plays in effective storytelling.<\/span><\/li>\n<li><span style=\"font-size: 17px;\">Discover how to create a punching 30 second pr\u00e9cis using the COCO technique.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>Booking Information:<\/strong><\/span><\/p>\n<p><span style=\"font-family: Poppins; font-size: 17px;\">Once registered for this event, full joining instructions for Zoom will be sent to each attendee individually along with access to our digital learning portal with tasks to be completed prior to the online workshop. Please check your email and junk mail for pre-workshop tasks reminders.\u00a0<\/span><\/p>\n<p><span style=\"font-family: Poppins; font-size: 17px;\">Please be aware that <strong>there are only limited places available on a first come first served basis,<\/strong> in line with the number of seats per member company your membership allows.<\/span><\/p>\n<p><span style=\"font-family: Poppins; font-size: 17px;\"><strong>If cancelling once confirmed, you must give at least 48 hours notice prior to the event in order for us to assign you place to those on our reserve list.<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action.<\/p>\n","protected":false},"author":610,"featured_media":4479,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[119,238,291],"pillar":[195],"false":[97],"mec_speaker":[878],"mec_sponsor":[],"class_list":["post-27117","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","tag-data-literacy","tag-data-skills","tag-storytelling","pillar-literacy","mec_category-workshop"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/27117","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\/610"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=27117"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/27117\/revisions"}],"predecessor-version":[{"id":33104,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/27117\/revisions\/33104"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/4479"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=27117"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=27117"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=27117"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=27117"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=27117"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=27117"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}