BI & Analytics

We work with the leading BI platforms — Power BI, Tableau, Looker, Metabase, Apache Superset, and Grafana — as well as building fully custom analytics UIs in React when embedded analytics or unique interaction patterns are required. We recommend the right tool based on your existing stack, user technical level, and budget rather than pushing a preferred vendor.

This is one of the most common BI problems and the reason we invest heavily in the semantic layer during design. We define metrics like revenue, active users, and conversion rate once in a central place — then all dashboards and reports pull from those definitions. If the definition of "customer" changes, it changes everywhere simultaneously.

Yes — embedded analytics is a growing part of our BI practice. We build React components that render charts, pivot tables, and drill-down reports inside your application using headless BI tools or custom query layers. Users get analytics in context without leaving the product, which significantly increases adoption.

Multi-source integration is standard for us. We use ELT pipelines to consolidate data from your CRM, ERP, marketing platforms, databases, and spreadsheets into a central warehouse, apply consistent transformations, and then surface unified views in your dashboards. The integration layer is designed so adding a new data source later is a predictable, low-risk operation.

A focused engagement — for example, three executive dashboards on an existing warehouse — typically runs $5,000–$15,000 over 4–6 weeks. A full BI platform build with data modelling, self-service reporting, and embedded analytics usually runs $20,000–$60,000 over 2–4 months depending on data complexity. We scope precisely after discovery so you can plan with confidence.