UK debt recovery agency scaling analytics and automation infrastructure
DCBL is a established UK enforcement and debt recovery operator with 5 regional offices and a 98% client retention rate, now building out centralized data infrastructure and self-serve analytics. The tech stack shift—adopting Power BI, Tableau, Qlik, and Looker while maintaining .NET and SQL Server—combined with active projects around MI (Management Information) automation and data pipelines, signals a move from manual reporting toward operational intelligence. Hiring velocity is accelerating across data (3 roles) and engineering (1), with pain points explicitly naming data deficiencies and analytics gaps, indicating the organization is transitioning from enforcement execution to data-driven decision-making.
DCBL specializes in high-volume debt recovery, high court enforcement, and commercial rent recovery for a portfolio ranging from blue-chip corporations to sole traders. Operating from 5 UK offices since 2010, the company collected tens of millions of pounds for clients over the last 12 months while maintaining a 98% client retention rate. The organization is certified for CCJ enforcement, possession order enforcement, and employment tribunal award enforcement. Current infrastructure runs on .NET, SQL Server, and manual Office-based workflows; active projects include building a scalable MI framework, centralised data repository, and automated data pipelines to replace ad-hoc reporting.
DCBL uses .NET, SQL Server, SQL Server Reporting Services, Power BI, Python, and R. The company is actively adopting Power BI, Tableau, Qlik, and Looker for analytics and visualization.
Current initiatives include MI capability automation, a scalable MI framework across DCBL and DCB Legal, a centralized data environment, automated data pipelines, and a BI visualization platform rollout.
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