Data Team as a Service

A senior data team, embedded in your business, for one flat monthly fee. Sometimes called a fractional data team or a managed data team: we design, build, and run your data platform sprint after sprint, without the cost and risk of hiring in-house.

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Who it's for

Private equity and roll-ups

You just acquired three companies with three ERPs, and the operating partners want one set of numbers. We build the integrations, the common data model, and the unified executive reporting.

Companies without a data team

You need a real data function - warehouse, pipelines, dashboards - but building one in-house means months of recruiting and several hundred thousand dollars a year in payroll. Your team is ready now.

Data leaders with a backlog

Your team is underwater and the business keeps asking for more. We embed alongside your existing team to clear the backlog, or take whole workstreams off your plate.

Your team

Every engagement is staffed with senior consultants. No junior staff, no bench, no bait and switch.

Data Architect

Designs the platform: sources, models, security, and the roadmap to get there.

Data Engineer(s)

Build and run the pipelines, integrations, and transformations that move your data.

Senior Data Consultant

Leads delivery, runs the sprint cadence with your product owner, and presents results to your stakeholders.

How it works

1
Discover

We meet your stakeholders, business and technical, to understand what the organization needs from its data.
2
Plan

We translate those needs into user stories on a backlog and prioritize it with your product owner, often the CIO, CDO, or CFO.
3
Deliver

We work the backlog in monthly sprints, presenting deliverables to your stakeholders as we ship.
4
Refine

Priorities change. We meet regularly with your product owner to refine the backlog, so the team is always on the highest-value work.

The math

Building this team in-house means multiple senior hires, months of recruiting, and several hundred thousand dollars a year in payroll before benefits and tooling. Staff augmentation is faster, but it only rents you hours: you still define, sequence, and manage all the work.

Data Team as a Service is a different deal. One flat monthly fee, sized to the team you need. No hourly billing, no surprise invoices, no change order every time priorities shift.

You set the priorities. We own the delivery.

“Sound BI came in and delivered in a matter of weeks what my other vendor spent nearly a year trying to achieve. I highly recommend them!”

— Director of Advanced Analytics, National Healthcare Company

Common questions

How fast can the team start?

Much faster than a hiring cycle. Once we've met your stakeholders and agreed on a starting backlog, the first sprint begins.

Can you work with our existing data team?

Yes. We can operate as your entire data function or work in cooperation with your existing team.

What if our priorities change mid-engagement?

That's the point of the model. The backlog is re-prioritized with your product owner every sprint, so the team moves with the business instead of a fixed statement of work.

What tools and platforms do you work in?

Deep Microsoft: Azure, Microsoft Fabric, Power BI, and the Power Platform. Plus Snowflake, Databricks, and Airflow, with experience across AWS and GCP.

How is this different from staff augmentation?

Staff augmentation rents you people, and you still manage the work. With Data Team as a Service you get a team with its own architect and delivery lead that takes ownership of outcomes, not just tasks.

Tell us what's broken in your data stack.

We'll tell you how we'd fix it. You'll talk directly with a senior data consultant, not a sales rep.