Delivering a scalable data platform to power faster, better decisions at Atom Bank
the challenge
Atom Bank – the UK’s first app-based, digital-only bank – needed to overhaul its legacy data infrastructure to support its evolving data strategy.
To continue enhancing its service and value to customers, protect the needs of stakeholders, and optimise operational efficiency, it is pressing ahead with a comprehensive data strategy.
Objectives were clear – minimise duplicate processing of data and create what it calls a single, ‘golden source’ of the truth to feed its MI, BI and regulatory reporting processes. This requires an increase in and better management of its data quality, achievable through a reduction in manual processing and the removal of legacy infrastructure and processes.
Atom Bank sought a true data partner that would not simply prescribe an academic solution based on the latest, off the shelf theories. The company needed pragmatism, as well as people who understood its business and who could be trusted
to develop and implement a solution based on its bespoke needs.
Dufrain, already an indispensable contributor to the framing of the data strategy, soon emerged as the most trusted and logical choice.
data services
Data Platform Design, Data Strategy, Data Engineering
the solution
Dufrain proposed the implementation of a custom-built data and analytical platform that could continually evolve to replace a monolithic and cumbersome legacy data architecture.
An ongoing process that will accumulate
benefits over time, Atom Bank has already started to see the impact that new platform is having. For example, it has been able to launch a Platform Lending project following the implementation of the solution. Because it now manages a central data platform, Atom has been able to bring on data sources in an automated, efficient and forward looking way that does not accumulate any technical debt.
Prior to Nucleus, this would have been a manual process. Now, the company’s data pipeline is automated with all the necessary controls in place to ensure quality, agility and compliance.
the outcome
- Enabled the launch of a new Platform Lending programme, generating billions
- Automated manual processes and improved data quality
- Enabled faster data-driven decisions and reduced operational friction
- Freed the data team to focus on value-add work
- Laid the foundation for long-term innovation and agility
All set to make your data AI-ready?
In one conversation, we’ll explore your challenges, share ideas, and leave you with clear next steps – questions to spark internal discussions and practical ways to progress your data and AI journey with confidence.
Let’s talk
Victoria Whittaker
Head of Business Development