Answer your most critical business questions with data you can act on.
Data analytics turns your operational data into competitive intelligence. We design and implement analytics solutions — from defining your KPI framework to building self-serve dashboards — so every team can make faster, better decisions without waiting for the data team.
Discuss Your ProjectDashboards your business teams can explore independently — no SQL required.
From question to insight in minutes, not days of ad hoc SQL and spreadsheets.
A single agreed KPI framework so every team tracks the same numbers.
KPI workshops to agree on definitions, data sources, and success metrics.
Build the semantic layer — metrics, dimensions, and business logic in dbt or LookML.
Dashboard design, stakeholder review, and user acceptance testing.
Analytics training, adoption support, and ongoing metric governance.
Analytics & Insights
Statistical rigour and ML-powered analysis that drives real decisions.
Analytics & Insights
Transform complex data into visuals that communicate instantly.
Architectural BIM, scan-to-BIM, 3D visualisation, and automation — all under one roof.
Common questions about our Data Analytics service.
Looker for code-first organisations with complex metric logic. Tableau for exploration-heavy teams who need flexible ad hoc analysis. Power BI for Microsoft-aligned businesses already in the Azure ecosystem. Metabase for fast, cost-effective self-serve analytics in smaller teams.
Yes — we build embedded analytics with Looker Explore, Cube.js, or Metabase APIs so your users see personalised insights without leaving your application. Embedded analytics is a key product differentiator for B2B SaaS.
Adoption is designed into the build process. We involve business users in design reviews, run user acceptance testing before launch, and create department-specific training. Dashboards that answer real questions get used; dashboards built in isolation do not.
A KPI framework defines every metric your business tracks — its formula, data source, owner, and reporting cadence. Without one, different teams calculate the same metric differently, leading to conflicting reports and mistrust of the data.
We build a semantic layer or metrics layer (dbt Metrics, LookML, or Cube.js) that unifies business logic across sources. Analysts query the layer, not the raw tables — so metrics are consistent regardless of which tool is used.
Yes. We instrument product events with a tracking plan, route events through a CDP like Segment, and build funnel visualisations in your BI tool — showing conversion at every step and segmented by cohort, plan, and acquisition channel.
Our team will scope your requirements and come back with a clear proposal within 48 hours.