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Value

Semantic models that scale

Star-schema datasets and DAX written to be auditable years later, not just to ship the first chart.

Governance that survives growth

Workspaces, deployment pipelines, and capacity sized so report sprawl never becomes a tax on your analysts.

In-context training that sticks

Hands-on sessions built around your real data — over a thousand analysts trained personally, not from a generic curriculum.

Decision-grade dashboards

Reports the executive team actually opens, because the numbers reconcile and the story is unambiguous.

Make better decisions using data

Power BI lives at the intersection of data, design, and decision-making. When it’s done well, it replaces gut-feel calls with evidence. When it’s done poorly, it becomes another set of reports nobody trusts.

We’ve personally trained over a thousand people on Power BI and built the kind of models that hold up under real-world pressure. We design semantic models that match how your business actually thinks, write DAX that’s auditable years later, and train your team so the dashboards they ship are the dashboards their colleagues use.

Where we help

  • Semantic model and dataset design that scales beyond a single report
  • DAX that’s correct, performant, and readable
  • Power BI service governance — workspaces, deployment pipelines, capacity
  • Hands-on, in-context Power BI training for analysts and decision-makers

Power BI sits inside the broader Microsoft data platform we work in (Fabric, Azure, Purview); we integrate it with whatever upstream systems your data lives in.

Related services

Common questions

Do we need Power BI Premium or Fabric capacity?
Usually no. Most engagements start on Pro or Premium-Per-User; we move you to capacity only when refresh volume, dataset size, or governance scope actually demands it.
Can you work with our existing data warehouse?
Yes. We design the semantic model on top of whatever upstream lives — Snowflake, Databricks, Synapse, Fabric, SQL Server, Postgres — without forcing a re-platform.
How do you handle row-level security and sensitive data?
RLS roles modeled to your org structure, tested against real user identities, and documented so audit and access reviews are mechanical rather than archaeological.
What does the training engagement look like?
Cohort-based sessions on your data, paired with office hours during the build. Analysts leave able to ship and maintain the models themselves — we are not a permanent dependency.