Lloyd's List Intelligence is a world-leading provider of data and analytics for a complex global industry. Their intelligence is essential for governments, insurers, and financiers who rely on it to make critical, high-stakes decisions. If you've watched your analysts adjudicate conflicting values case by case, with no defensible audit trail behind the choices they make, you'll recognise the position Lloyd's had reached.
The client's platform ingests highly complex data from thousands of global sources. A core challenge was the lack of visibility and automated control over this process. When different sources provided conflicting data (for example two different values for the same critical metric), analysts had to manually resolve the issue without a clear, auditable system to govern the process.
For decisions used by governments, insurers, and financiers, the absence of an audit trail behind a chosen value was itself a structural risk.
D55 designed a new, intelligent ingestion platform that provides complete visibility and control. Analysts can now define and configure complex processing rules themselves through a UI, without developer dependency.
Crucially, the system introduced a weighting mechanism for data sources. When data conflicts arise, an automated decision is made based on the pre-set priority of the sources, and a full audit trail of the weightings and decisions taken is logged for future analysis.
The first conflicted record resolved automatically, with the weighting decision logged. The pattern of every conflict triggering analyst attention started to give way to a pattern of analysts intervening only on the cases the rules didn't cover.
Full traceability. Every data point is now fully traceable back to its source, with a clear and auditable log of every automated decision made during processing.
Improved data quality. The system requires significantly less manual work and produces high-quality, trusted output the first time.
Empowered analysts. Analysts have moved from a reactive, manual resolution process to a proactive, automated system where they have complete visibility and trust in their data.
The pattern transfers. When your data shape is heterogeneous and conflict-prone, and the decisions made on the data have to stand up to audit, the right architectural answer is governed ingestion with weighted-source decision-making, not bigger pipes. The audit trail isn't an add-on; it's the artefact that makes the platform usable at all in your high-stakes context.
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