Data & Analytics

Most organisations already hold the data they need. It sits in the order system, the point of sale, the CRM, the ERP and a dozen spreadsheets, and every report draws a slightly different number from it. Our data and analytics services bring that data together, make it trustworthy and put it in front of the people who decide.

What we deliver

• Data strategy and roadmap. Which decisions matter, which data they need, who owns it and what to build first.
• Modern data platforms. Lakehouse and warehouse foundations that scale from gigabytes to big data volumes, on public cloud, private cloud or your own data centre.
• Data engineering. Batch and streaming pipelines from operational systems, with tests, lineage and monitoring, so yesterday's numbers are there every morning and today's are there now.
• Real-time analytics. Event streams from orders, payments, stock and network turned into live dashboards and alerts.
• Business intelligence. Dashboards and self-service reporting designed around the questions each team actually asks.
• Data governance and quality. Ownership, definitions, access control, quality rules and reconciliation between systems.
• AI-ready data. The curated, documented and permissioned data sets that assistants and models need before they can be trusted.

Built on what your systems already emit

Because we build and integrate operational platforms, we know where the data comes from. Event-driven systems publish what happened as it happens; we capture those events once and serve both operations and analytics from them, rather than running fragile nightly extracts against production databases.

Technology

Open, well-supported components chosen for your constraints: PostgreSQL, Kafka, object storage, Apache Iceberg and Trino for lakehouse workloads, and dashboards in Apache Superset or Power BI. Where you already run a cloud data warehouse, we build on it.