Data & Analytics
Business intelligence that teams actually use
We design and implement reporting with Apache Superset, backed by practical ETL so your KPIs stay consistent — fewer manual exports, clearer ownership, and decisions based on one source of truth.
What we deliver
Outcome-led BI: trusted numbers, sensible access control, and pipelines that keep up with the business.
Apache Superset charts, filters, and drill paths tailored to roles — executives see summaries; operators see detail.
Datasets, metrics, and permissions defined so reports stay aligned and onboarding new users is straightforward.
Move data from apps, databases, and files into shapes fit for analytics — scheduled, monitored, and documented.
Revenue, funnel, inventory, support, or custom KPIs — we help you agree definitions and surface them reliably.
Start pragmatically where you are today; grow toward a warehouse or lakehouse without throwing away good habits.
Your team learns how to maintain charts, datasets, and pipeline basics — with clear runbooks where it helps.
How we work
We map your questions first — who needs what metrics, how often, and what systems hold the truth. Then we shape ETL so those answers are reproducible, and implement Superset so exploration is safe and fast.
- →Sources, definitions, and success criteria
- →ETL: extract, clean, model, and schedule
- →Apache Superset: datasets, charts, dashboards, access
- →Review, training, and iteration
Business intelligence FAQs
Pragmatic answers for operations, finance, and analytics leads evaluating a BI build.
What is business intelligence and why does my company need it?
Business intelligence (BI) is the process of consolidating data from across your tools — CRM, finance, ops, marketing — into dashboards and reports you can actually act on. Most UK SMEs we work with already have the data; it is scattered across spreadsheets, Xero, HubSpot, and Shopify. BI pulls it into one place so decisions stop relying on guesswork.
Which BI tool do you recommend — Power BI, Tableau, or Superset?
For most clients we recommend Apache Superset, which is open source, self-hostable in the UK/EU, and avoids per-seat licensing. Power BI is strong if your team already lives in Microsoft 365 and accepts the licensing model. Tableau suits larger analytics teams. We help you pick based on budget, data residency, and who needs access.
How do you handle data pipelines and ETL?
We build lightweight ETL with dbt, Python, or n8n depending on complexity. Data flows from source systems into a warehouse (Postgres, BigQuery, or DuckDB for small teams), gets cleaned and modelled, then serves dashboards. We prioritise reproducible, version-controlled pipelines over fragile spreadsheets.
How much does a BI project cost?
A 4–6 week implementation covering 1–2 data sources and 3–5 core dashboards typically runs £8,000–£20,000. Ongoing dashboard maintenance and new report builds are handled on a retainer from £800/month. Self-hosted Superset has no per-seat costs; hosting is £30–£60/month.
Can BI work with small amounts of data?
Yes — many UK SMEs see the biggest lift from simply consolidating CRM, invoicing, and website analytics into one dashboard. You do not need "big data" to benefit. We design with your current scale and make the pipeline easy to extend later.
How does this compare to just using Excel or Google Sheets?
Spreadsheets work until they do not — manual refreshes, version conflicts, and errors compound as the business grows. BI replaces the 5 hours/week someone spends rebuilding the same report with live dashboards. We often keep spreadsheets for ad-hoc analysis but move recurring reports to Superset.
Business Intelligence
Share your tools and reporting goals — we’ll outline a pragmatic path with Apache Superset and ETL.