Business intelligence, from source to insight
Each stage depends on the one before it. We deliver them in order, and we can join at any point if part of the stack already exists.
How an engagement runs
1Sources
We inventory your systems — ERP, CRM, accounting, spreadsheets, APIs — and agree on what the business actually needs to measure.
2Data architecture
A cloud-native platform designed for governance and growth: storage, security, environments and naming that will still make sense in five years.
3Data integration
ETL/ELT pipelines and streaming flows that unify siloed systems, with monitoring so a failed load is noticed before a report is wrong.
4Data modeling
Dimensional models that make complex data fast to query and easy to understand, with one definition per measure.
5Power BI reporting
Executive dashboards and interactive reports that replace spreadsheet exports, with row-level security where it matters.
6AI insights with Claude
Claude connected to your governed data, answering questions in plain language and explaining what changed.
What Claude adds to your BI environment
AI is only as good as the data under it. Once the model is sound, Claude can do work that used to wait for an analyst.
- Ask the data warehouse questions in plain language
- Automatic report summaries and executive narratives
- Anomaly detection with an explanation of the likely cause
- Data-quality monitoring and alerts
- Custom Claude agents inside Power BI workflows
Why did Q3 revenue drop in the East region?
East revenue fell 8% against Q2. Two thirds of the gap comes from renewals that slipped into October, and the rest from higher logistics costs on three large accounts. The renewals are already signed, so Q4 should recover them.
Start with a conversation
A 30-minute call is usually enough to know where to begin.