Analytics & Business Intelligence

It depends on your existing stack, user base, and budget. Power BI is strong for Microsoft-centric organisations with broad self-service needs. Tableau excels at rich, exploratory visual analytics. Looker shines where a governed semantic layer and embedded analytics matter. We run a short scoring exercise with your stakeholders before recommending one.

For anything beyond a handful of reports we strongly recommend a semantic layer — typically dbt metrics, LookML, or a tool-native model — so metric definitions live in version control and are consistent across dashboards, exports, and embedded use cases.

Through governed-by-default design: certified datasets, naming conventions, metric ownership, access tiers, and a clear promotion path from personal workbooks to published dashboards. We document this as a lightweight analytics operating model that your team can maintain.

Most business dashboards are refreshed hourly or every few minutes, which is usually plenty. For operational use cases we can deliver near real-time dashboards backed by streaming pipelines — we will push back if real-time is not actually needed, since it adds meaningful cost and complexity.

Yes. We have embedded Looker, Metabase, and custom React + charting libraries into client-facing products, including row-level security, single sign-on, and white-labelling. We will help you choose between an embedded BI tool and a bespoke build.

We run a metric reconciliation workshop as part of Discover, turn agreed definitions into a single source of truth in the semantic layer, and publish a metrics glossary. Any future change goes through a lightweight review to prevent silent drift.