Business Intelligence & Data Engineering for US Companies

Data you can build on. Reports you can bet on.

Intelis builds the layer between your warehouse and your decision-makers: gold-layer data, governed semantic models, and dashboards people actually use. We build it for you, or our senior engineers build it inside your team. Either way, on your hours.

  • Microsoft Fabric
  • Power BI
  • Azure
12+
years building Microsoft BI for US companies
Senior-only
delivery — no junior developers on your project
US hours
full overlap with Eastern and Central time
Under NDA
every engagement, from the first call

What we do

One layer, built end to end.

From the gold layer to the last visual, with the model as the contract in between.

Data engineering on Fabric

Lakehouse and medallion architecture: bronze to gold, incremental loads, one source of truth.

Semantic models

Governed models with clean star schemas, tested DAX, row-level security, and fast refresh.

Dashboards & client-facing analytics

Executive reports built for adoption, and multi-tenant portals your customers log into.

BI migration & modernization

Excel, Tableau, SSRS, and legacy BI moved to Power BI and Fabric without losing the logic.

Embedded engineering team

Senior Power BI and Fabric engineers reserved monthly, inside your standups, Slack, and repos.

How we work together

We build it for you — or inside your team.

Fixed-scope project

We build it for you. A defined deliverable at a fixed price, clear timeline, one invoice.

Embedded engineers

We build it inside your team. Mid, senior, or lead engineers reserved monthly, working in your tools on your priorities, backed by an Intelis architect. Month-to-month after the first term, with a replacement guarantee.

Overflow sprint

We build the part that won't fit. Two-week bursts when a deadline moves, billed hourly, no minimum.

Not sure which fits? A 30-minute call is usually enough to tell.

How we build

The Intelis Build Standard

Every project ships the same way, whether it's one report or a full platform.

Source control, always.

Models and reports in PBIP and TMDL, versioned in Git.

Best-practice rules enforced.

Automated BPA checks on every model before it reaches you.

CI/CD, not manual publishing.

Azure DevOps or GitHub Actions deploy to dev, test, and prod.

AI-assisted development.

Claude Code, GitHub Copilot, and MCP tooling speed up the build; senior review keeps it right.

Documented context.

Each client gets a Context Pack: definitions, lineage, and decisions in one place.

QA before handoff.

Numbers reconciled to source, performance tested, security verified.

Our work

Delivered under NDA, described by scale.

We don't publish client names. We do publish what we built.

PEO & HR Services · Client-facing analytics

Payroll portal for 891 employees across 27 pay periods

Star schema over a payroll source, row-level security isolating each end client, custom navigation in the client's brand.

Insurance · Semantic model

29,186 malpractice claims, 1998–2024, in one conformed model

Claims analyzed by severity, allegation, practitioner cohort, and state. Drill path from portfolio to individual risk driver.

Industries we serve

Regulated, data-heavy, and tired of reconciling.

Empty, well-lit corridor of a modern hospital

Healthcare

Payers, providers, and pharmacy services. Claims, membership, and clinical data with HIPAA in mind.

Bright office with white desks by tall windows

Insurance

Claims, policy, and risk reporting across lines and states, built on conformed dimensions.

Aisle of a distribution center lined with stacked pallets

Retail

Sales, inventory, and margin across stores and channels, refreshed on your calendar.

Factory floor with machinery and crates along a marked walkway

Manufacturing

Production, quality, and supply data from the plant floor to the executive page.

Questions we get

Straight answers.

Senior engineers only, with 12+ years behind the practice. You meet the people who build your models. No handoff to a junior team after the sale.

Let's look at your data.

Tell us what you're working on. A senior engineer replies within one business day.