{"id":349494,"date":"2025-11-08T20:58:04","date_gmt":"2025-11-08T20:58:04","guid":{"rendered":"https:\/\/new.kaizen.sa\/?post_type=gs-project&#038;p=349494"},"modified":"2026-04-09T13:55:19","modified_gmt":"2026-04-09T13:55:19","slug":"executive-services-to-build-data-analytics-capabilities","status":"publish","type":"gs-project","link":"https:\/\/kaizen.sa\/en\/gs-project\/executive-services-to-build-data-analytics-capabilities\/","title":{"rendered":"Executive Services to Build Data Analytics Capabilities"},"content":{"rendered":"<h4 style=\"font-weight: bold; text-transform: uppercase; font-size: 24px; color: #565656; letter-spacing: 0.1em; line-height: 1.6em;\">Project Components<\/h4>\n<blockquote style=\"border-left: 5px solid rgba(0, 0, 0, 0.25);\"><p>\nThe project aims to strengthen data analytics capabilities and develop practical decision-support use cases. The scope includes an operating model and roadmap, embedded specialist teams, twenty use cases covering demand forecasting and grid reliability, a fit-for-purpose tools assessment, and structured training and knowledge transfer to ensure sustainable internal capability.\n<\/p><\/blockquote>\n<p><strong>A. The Challenge<\/strong><\/p>\n<p>Institutionalize advanced analytics that reliably forecast consumption and improve network reliability, while unifying processes, tools, and skills to support evidence-based policy evaluation and timely, strategic decision-making across the authority.<\/p>\n<p><strong>B. Our Solution<\/strong><\/p>\n<p>Establish an operating model and improvement roadmap; deploy data engineers and data scientists; design twenty use cases with scenario analysis; evaluate and select enabling tools; and conduct training, workshops, and knowledge transfer to embed capabilities.<\/p>\n<p><strong>C. Key Achievements<\/strong><\/p>\n<p>Defined the operating model and roadmap; mobilized a specialist team; designed twenty analytics use cases; completed a tools selection study; delivered training and workshops; and strengthened forecasting and reliability analytics supported by governance for continuous improvement.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Operating model, embedded experts, and twenty analytics use cases with tool selection and training to institutionalize forecasting and grid-reliability decision support.<\/p>\n","protected":false},"featured_media":352418,"comment_status":"open","ping_status":"closed","template":"","gs-project-category":[211],"gs-project-tag":[214],"class_list":["post-349494","gs-project","type-gs-project","status-publish","has-post-thumbnail","hentry","gs-project-category-data-and-insights","gs-project-tag-government"],"_links":{"self":[{"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/gs-project\/349494","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/gs-project"}],"about":[{"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/types\/gs-project"}],"replies":[{"embeddable":true,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/comments?post=349494"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/media\/352418"}],"wp:attachment":[{"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/media?parent=349494"}],"wp:term":[{"taxonomy":"gs-project-category","embeddable":true,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/gs-project-category?post=349494"},{"taxonomy":"gs-project-tag","embeddable":true,"href":"https:\/\/kaizen.sa\/en\/wp-json\/wp\/v2\/gs-project-tag?post=349494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}