{"id":1521,"date":"2026-02-11T21:34:50","date_gmt":"2026-02-11T21:34:50","guid":{"rendered":"https:\/\/datadecoded.com\/ldn\/?post_type=seminar&p=1521"},"modified":"2026-02-11T21:34:50","modified_gmt":"2026-02-11T21:34:50","slug":"building-a-knowledge-repository-for-self-service-analytics","status":"publish","type":"seminar","link":"https:\/\/datadecoded.com\/ldn\/seminars\/building-a-knowledge-repository-for-self-service-analytics\/","title":{"rendered":"Building a Knowledge Repository for Self-Service Analytics"},"content":{"rendered":"

AI assistants promise self-service analytics, but most struggle to go beyond basic reporting and KPI retrieval. This session explores why today\u2019s AI architectures limit advanced analysis and fail to provide lasting business value. Using real-world examples, Stephen shows how giving large language models richer business context \u2014 without exposing live or sensitive data \u2014 enables more accurate reasoning and more powerful analytics.<\/p>\n

Attendees will learn how an AI-powered centralized data catalogue can act as a knowledge repository for their organization, helping both people and AI better understand data, build trust in insights, and reduce engineering effort. The session also outlines practical steps teams can take today to start treating data as a product and build a scalable foundation for true self-service analytics.<\/p>\n

Takeaways\u00a0<\/strong>
\n\u2022 Why current AI assistant tools struggle with advanced analytics
\n\u2022 How a centralized data catalogue improves AI reasoning without using live data
\n\u2022 How to treat data as a product to build long-term competitive advantage
\n\u2022 Practical steps to start building a knowledge repository today<\/p>\n","protected":false},"template":"","class_list":["post-1521","seminar","type-seminar","status-publish","hentry"],"acf":{"start_time":"2026-04-22 15:45:00","end_time":"2026-04-22 16:15:00","theatre":636,"speakers":[1519],"businesses":""},"yoast_head":"\nBuilding a Knowledge Repository for Self-Service Analytics - Data Decoded LDN<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datadecoded.com\/ldn\/seminars\/building-a-knowledge-repository-for-self-service-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Building a Knowledge Repository for Self-Service Analytics\" \/>\n<meta property=\"og:description\" content=\"AI assistants promise self-service analytics, but most struggle to go beyond basic reporting and KPI retrieval....\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datadecoded.com\/ldn\/seminars\/building-a-knowledge-repository-for-self-service-analytics\/\" \/>\n<meta property=\"og:site_name\" content=\"Data Decoded LDN\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataDecoded\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datadecoded.com\/ldn\/wp-content\/uploads\/sites\/4\/2025\/11\/SS005579-DATA-DECODED-LDN-SITE-HEADER-scaled.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1280\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@DataDecoded_HQ\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datadecoded.com\/ldn\/seminars\/building-a-knowledge-repository-for-self-service-analytics\/\",\"url\":\"https:\/\/datadecoded.com\/ldn\/seminars\/building-a-knowledge-repository-for-self-service-analytics\/\",\"name\":\"Building a Knowledge Repository for Self-Service Analytics - 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