One governed path from source system to insight.
An end-to-end Fabric implementation where ingestion, modelling, and reporting work as one system, so every number is trusted, traceable, and consistently defined.
BI fails in the gaps between projects
When data ingestion, modelling, and reporting are delivered as separate projects, definitions drift, ownership fragments, and trust breaks down. End-to-end delivery keeps every layer aligned as one system.
Delivered in pieces
- Each report writes its own version of "revenue" in DAX.
- Pipelines and data models drift apart.
- A change upstream breaks dashboards downstream, silently.
- Nobody can answer "where does this number come from?"
Delivered as one system
- Measures live once, in the semantic model — every report inherits them.
- Each layer exists because the one above needs it.
- Lineage runs source-to-visual; changes are impact-assessed before they ship.
- "Where does this come from" is a click, not an investigation.
Every layer, on your Fabric capacity
Ingestion that maintains itself
Mirroring and shortcuts where Fabric supports them, Data Factory pipelines where it doesn't. Incremental by default, monitored, and alerting before users notice.
A layered lakehouse
Bronze lands raw, silver cleans and conforms, gold serves the business. Quality checks between layers stop bad data before it reaches a report.
One semantic model
Business definitions — measures, hierarchies, security roles — modelled once in Direct Lake mode. Reports and Copilot both read from it.
Reports people keep using
A small set of certified reports designed around decisions, not around every field being available. Built with the people who'll read them.
Governance wired in
Workspace structure, deployment pipelines, endorsement, and Purview lineage — set up as part of the build, not filed as phase two.
Handover, not dependency
Your team pairs on the build and takes the runbook. The goal is that the second subject area ships without us.
Deliver one subject area end-to-end. Then repeat.
We don't build all pipelines, then all models, then all reports. We take one business area, such as Finance or Sales—from source to dashboard. You see value sooner, validate the approach, and build momentum before expanding.
Identify the business questions, reports, and metrics that matter first.
Workspaces, capacity, security, and deployment pipelines on your tenant.
Ingestion, lakehouse layers, and the semantic model for the first subject area.
Reports validated against legacy numbers, endorsed, and released to users.
The next subject area follows the same pattern — increasingly built by you.
Bring one subject area. We'll build the whole path.
The first working session frames the decisions your reports should serve and what it takes to trace them back to source.