{"id":42870,"date":"2026-04-21T11:19:07","date_gmt":"2026-04-21T10:19:07","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&#038;p=42870"},"modified":"2026-04-27T16:59:09","modified_gmt":"2026-04-27T15:59:09","slug":"accelerator-s-4hana-transformations-04-06-26","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/accelerator-s-4hana-transformations-04-06-26\/","title":{"rendered":"Designing a Scalable ETL, Data Warehousing, and Reporting Strategy for S\/4HANA"},"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><strong>DataIQ clients:<\/strong> Please secure your place via the <a href=\"https:\/\/hub.dataiq.global\/events\/creating-a-successful-etl-approach-for-s4-hana-in-an-ongoing-transition\" rel=\"nofollow noopener\" target=\"_blank\">DataIQ Hub.<\/a><\/p>\n<p>\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n<p><b><span data-contrast=\"auto\">Questions:\u00a0<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<ul>\n<li>How did you plan and implement your ETL, Warehousing and reporting strategy for a full SAP ERP, particularly when this was not defined at the start of the\u00a0programme?\u00a0<\/li>\n<li>What approach did you take to extract, transform, and integrate data across multiple SAP cloud modules, and combine it with non\u2011SAP sources, so it becomes usable for cross\u2011functional reporting rather than remaining siloed in each system?<\/li>\n<li>What architectural choices guided your selection of a cloud data\u2011warehouse and transformation platform, and how did you ensure it could handle S\/4HANA\u2019s data volume and speed without duplicating data or over\u2011engineering the stack?<\/li>\n<\/ul>\n<p><b><span data-contrast=\"none\">Who should attend:<\/span><\/b><span data-contrast=\"none\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335557856&quot;:16777215,&quot;335559685&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">This session is designed for senior data leaders who:\u00a0\u00a0\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" 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;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Have implemented a successful ETL approach for SAP S\/4HANA transformation<\/span><span data-ccp-props=\"{}\"> and;<\/span><\/li>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" 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;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Operate in organisations with large volumes of data.<\/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>In each session you can expect:<\/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\/creating-a-successful-etl-approach-for-s4-hana-in-an-ongoing-transition\" rel=\"nofollow noopener\" target=\"_blank\">DataIQ Hub.<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bridging the gap between evolving S\/4HANA transformations and a robust, fit-for-purpose ETL strategy that delivers usable, trusted data at scale.<\/p>\n","protected":false},"author":419,"featured_media":42872,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[1267,1180],"pillar":[],"false":[1235],"mec_speaker":[],"mec_sponsor":[],"class_list":["post-42870","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\/42870","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=42870"}],"version-history":[{"count":4,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/42870\/revisions"}],"predecessor-version":[{"id":43258,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/42870\/revisions\/43258"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/42872"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=42870"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=42870"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=42870"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=42870"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=42870"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=42870"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}