Case studies

Trigger Data provides specialist engineering support to a consulting client delivering healthcare software. The engagement combines investigation of application and data issues, targeted fixes and performance improvements, and continuing technical support. Working within the client’s wider delivery team, we help maintain and improve existing applications used for operational reporting and planning.

Fleet maintenance descriptions contain useful engineering information, but free text is difficult to aggregate into meaningful measures. Trigger Data developed a machine-learning solution that classified maintenance narratives into root-cause codes, creating structured outputs that Porterbrook could use to develop KPIs and analyse patterns and trends across its maintenance records.

Trigger Data built Porterbrook’s end-to-end Azure and Databricks platform, migrated its existing workloads and completed the testing and post-migration work needed for ongoing operation. The platform now processes high volumes of railway data and serves multiple analytical workloads, with continuing engineering support to maintain and evolve the environment.