everyLIFE Technologies, a UK social care technology company, builds PASS, an all-in-one digital care management platform for home care, supported living and care homes. PASS unifies care planning, medication management (eMAR), rostering, finance and reporting in one system, making services simpler to run and inspection-ready. With more than a decade of innovation, PASS helps carers be the best they can be and meets Digital Social Care Records (DSCR) standards, with secure integrations such as GP Connect. Today, the platform supports 84,000+ care professionals across the UK, improving transparency, safety and outcomes.
The Aim
Restore trust in client-facing reporting, make information easy to find and use, and put durable data foundations in place. The aim was to stabilise today’s service while building a modern, design-led and DevOps-enabled data platform (Snowflake + dbt) that could support new releases and rapid growth.
Challenges
everyLIFE knew there was more value in its data, but confidence in client reporting was slipping and the platform was hard to evolve. During day-to-day delivery the team ran into architectural and process gaps that slowed progress:
- Trust & access issues in client reporting: Results weren’t consistently trusted, definitions varied, lineage was unclear and getting to the right information was too complex, eroding customer confidence.
- Gaps in the data platform and practices: dbt was only partially implemented and Snowflake usage wasn’t standardised; automated testing, documentation and CI/CD were limited, leaving quality hard to prove and change risky.
- Technical debt and reactive delivery: Legacy patterns and ad-hoc pipelines made releases fragile and slow; there was no shared “data-product” model, agreed quality gates or collaborative design review.
- Foundations not ready for scale: Without a design-led architecture, clear ownership and right-sized governance, it was difficult to support new features, onboard teams efficiently, or demonstrate reliable, repeatable outcomes.
These combined challenges undermined trust and slowed delivery, signalling the need for a harmonised, modern data platform and way of working.
Strategic Solutions
Analytics8 embedded with everyLIFE as an extension of the data team, a pragmatic, delivery-first programme to stabilise today and build for tomorrow.
- Discovery & strategy reset. We ran a rapid assessment of data management, data architecture, Snowflake usage and dbt maturity, then prioritised a remediation plan with quick wins alongside long-term foundations
- DevOps and design-led foundations. We introduced modern DevOps practices (version control, environments, CI/CD and automated testing) and a design-review cadence, so changes are predictable, traceable and fast.
- dbt implemented properly. We standardised models and naming, refactored to DRY patterns, added tests and documentation, and published dbt docs/lineage so teams can see exactly how numbers are calculated.
- Technical-debt remediation. We simplified pipelines, removed legacy logic, optimised SQL and scheduling, and right-sized costs, improving reliability, performance and maintainability.
- Data-product ways of working. We replaced reactive builds with product backlogs, clear ownership, shared definitions, quality gates and a collaborative design review, breaking silos and aligning software and data teams.
- Enablement and handover. We co-built with everyLIFE’s engineers, trained teams on the new standards and tooling, and left playbooks/guardrails so the capability is self-sustaining.
Technologies: Snowflake, dbt, Git/CI/CD.
Results
everyLIFE’s remediation programme rebuilt confidence and created durable platform capability, including:
- Trust restored in reporting: Customer confidence returned as data became reliable and trustworthy.
- Robust data foundations: Stable platform set up for the long term and upcoming releases.
- Modern platform and practices: Existing tools used more effectively, a DevOps and design-led approach introduced, and technical debt addressed.
- From silos to a data-product model: Collaborative processes replaced reactive development, reducing silos and enabling reliable long-term planning and rapid growth on stronger foundations.