Intro

Why data programmes stall in Oil and Gas

The real strain usually appears after the initial platform work is complete and the programme has to survive inside the existing landscape rather than on a clean design. At that point, older systems begin to dictate the pace, every serious change exposes dependencies that were never fully surfaced, and the data problem quietly shifts into day to day delivery. This part explains why momentum is so often lost at exactly this stage and why the bottleneck usually sits beyond the platform itself.

What makes data quality and platform adoption work

Progress becomes sustainable only when the platform is no longer expected to absorb problems that actually belong to delivery and operating discipline. Once there is a clear way to decide who owns the data, how changes are reviewed before they go live, and how recurring issues are pushed back to their source instead of being patched downstream, the programme starts to behave differently. This part shows what has to be built around the platform so that data quality improves through normal working practice and adoption no longer depends on constant recovery effort.

Q&A session