{"id":1721,"date":"2026-03-11T20:45:41","date_gmt":"2026-03-11T20:45:41","guid":{"rendered":"https:\/\/datadecoded.com\/ldn\/?post_type=seminar&p=1721"},"modified":"2026-03-16T09:32:58","modified_gmt":"2026-03-16T09:32:58","slug":"from-failure-to-framework-balancing-business-data-and-technology-for-project-success","status":"publish","type":"seminar","link":"https:\/\/datadecoded.com\/ldn\/seminars\/from-failure-to-framework-balancing-business-data-and-technology-for-project-success\/","title":{"rendered":"From Failure to Framework: Balancing Business, Data and Technology for Project Success"},"content":{"rendered":"

Data projects fail at surprisingly consistent rates (around 70-80%) and here’s the uncomfortable truth: it doesn’t matter whether they’re driven by technology evangelists or business-first purists. Both extremes produce strikingly similar failure rates.<\/p>\n

This session introduces the Three Pillars Framework: an evidence-based approach that balances Business objectives, Data fundamentals, and Technology implementation. We’ll unpack why the industry’s swing from “tech-first” to “tech-ignorant” has simply traded one set of failure modes for another, and how neglecting any single pillar – whether that’s data modelling, executive sponsorship, or platform capability – creates predictable points of failure. As organisations race to deploy AI and machine learning, these fundamentals matter more than ever.<\/p>\n

You’ll leave with a framework for diagnosing imbalance in your own projects and strategies for navigating the most common pitfalls. No silver bullets. No theology. Just a structured approach you can start applying on your very next project.<\/p>\n

Takeaways<\/strong><\/p>\n