A major telecommunications company set out to become a data-driven organisation but faced a stalled transformation for nine months, with no dedicated data team or engineering capability in place.

We took ownership of the challenge, designing and building a scalable data platform on Google Cloud. This solution enabled the client to transform their agility, increasing deployments from fewer than 10 per quarter to 70 per day while maintaining a 99.5% SLA across 25 cross-functional squads.

Over three years, we worked closely with the client to develop a team of 40 specialists, supporting 300 data professionals across the business. This transformation empowered data-driven decision-making at scale and contributed to a £100M P&L improvement as of 2024.

A FTSE retail client faced a stalled data migration project, with no progress made for over a year under a third-party provider. Their legacy data solution remained costly, rigid, and unfit for future needs.

We took ownership of the challenge, designing and delivering a modern data platform on Google Cloud from the ground up. This solution seamlessly supported both analytics and operational needs, restoring trust in the client’s data strategy.

Over 12 months, we collaborated with the client to establish a high-performing team of 10 data professionals and implemented a platform that increased agility tenfold while saving the business over £1 million annually.

A large education client faced escalating AWS costs with no clear visibility or data capabilities to analyse and optimise their expenses effectively.

We led the design and implementation of a lightweight data platform on Google Cloud, enabling seamless ingestion and analysis of complex AWS billing data. The platform effortlessly processed 1TB of new data daily at minimal cost, providing the organisation with real-time insights into their cloud usage.

Over five months, we collaborated with the client to empower their teams with actionable cost intelligence, helping them achieve over £1 million in annual AWS savings while aligning with their FinOps objectives.

A FTSE 100 e-commerce tech giant faced the dual challenge of decommissioning its outdated AWS Redshift data platform, which had failed to scale, while simultaneously building a new platform on Google Cloud— all with a looming GDPR compliance deadline just three months away.

We ensured both the legacy and new platforms met full GDPR compliance ahead of the deadline, enabling a seamless transition. Following this, we designed and led the implementation of a single customer view platform, built with privacy by design to ensure secure data consumption.

The new data platform became a key driver of the organisation’s growth, contributing significantly to a revenue increase from £210 million in 2018 to £374 million in 2019—a remarkable 77.8% growth in just one year.

A leading lead generation platform was struggling to scale its data platform on AWS and lacked effective business intelligence (BI) capabilities.

We worked closely with the client to address these challenges, successfully migrating their AWS Redshift workloads to Snowflake within six months—achieving zero downtime. Simultaneously, we partnered with the analytics team to design and implement Looker as a scalable BI platform, ensuring a single source of truth for quick, reliable insights across the organisation.

Within a year, the platform was fully adopted by over 350 users, driving a 133% increase in recovered revenue, from £300k per month to £700k per month.