Now accepting new engagements

The CEO just asked for a dashboard. Your team said six weeks.

That answer is the problem. We deliver the same dashboard in days, designed to tell a clear story, built by someone who has done it five hundred times. Timeline risk is mine, not yours.

13 years delivering enterprise BI across
Medical Devices Pharmaceuticals Consumer Goods Advertising

Your data got faster. Your analytics team didn't.

01

Data arrives faster.

Modern data stacks deliver clean tables in hours. That part is solved.

02

Questions arrive faster.

Every executive can see their data. Each insight surfaces three more questions.

03

Builds take the same time.

Same tools. Same handoffs. Same six-week cycle, while everything around them got faster.

We don't replace your team. We absorb the overflow. One dashboard at a time, in days, so the queue stops growing.

Delivered in days. Custom built. Held to one standard.

Speed is the promise. Every dashboard ships in days, not weeks, built from scratch for your business, your data, and the questions you actually need answered. What never changes is the bar we hold it to: one clear story, on a single canvas, designed to be acted on by the people who see it. Two variables determine your engagement: how fast you need it, and how much work your data needs before it can tell that story.

Speed

How fast we deliver.

Same product. Pick the timeline that matches your deadline.

Priority
3 business days

Top of queue. Direct line for revisions. For the executive ask that landed yesterday.

Use when The deadline is this week and slipping is not an option.
Express
5 business days

Priority slot on the build calendar. Same-day kickoff after scoping.

Use when The next QBR, board meeting, or planning cycle is this month.
Standard
10 business days

The reliable default. Right for projects with a real deadline that isn't tomorrow.

Use when You have a few weeks before the dashboard is needed.
Size

How much work your data needs.

The dashboard stays simple. The backend semantic model handles whatever your data throws at it.

One Source
Clean, query-ready data

Your data lives in one place and is well-structured. We model it, design the dashboard, ship it.

Use when You have a warehouse view, a clean export, or a single SaaS system as the source.
Many Sources
Joined, reconciled, modeled

Your data lives in two or more systems that need to speak the same language. We build the semantic model that makes them tie.

Use when Sales numbers don't match finance, or one system needs context from another.
Custom Logic
Your rules, codified

Your business measures performance in ways that don't exist off the shelf. Custom segmentations, weighted attribution, fiscal calendars. We codify the logic into the model.

Use when The way you measure success is unique to your business.

Four steps. No surprises.

Every engagement runs the same way. You always know what is happening this week and what is coming next.

01

Scope

Free fifteen-minute call to confirm fit. If fit, we send a fixed-scope proposal within 24 hours.

02

Discover

One working session to frame the business question, identify the right KPIs, and align on what the dashboard needs to answer.

03

Build

We build to spec. You see progress at the midpoint. No surprises at delivery, because you have already seen it taking shape.

04

Deliver

You receive the production .pbip file, ready to deploy to your tenant. One revision round included in every engagement.

Most dashboards explore the data. Yours will explain it.

A dashboard built for an executive is not the same as a dashboard built for an analyst. One has thirty seconds and a decision to make. The other has an afternoon and a question to chase. Most dashboards confuse the two. We don't.

Before
Revenue by region
2M 4M 6M
After
West region leads, 3x the average
6.2M
Principle 01

Grey by default. Color where it counts.

Color is a finite resource. When every bar is a different color, nothing stands out. When the page is muted and one element is in brand color, the eye finds it instantly.

We default to grey and add color only on what matters. The page reads itself.

Before
Monthly Revenue
Jan Apr Jul Sep
After
Revenue dropped 18% after May
May price change Jan Apr Jul Sep
Principle 02

Action titles, not category titles.

"Monthly Revenue" tells you what the chart shows. "Revenue dropped 18% after May" tells you what to do about it. The first leaves the reader to interpret. The second answers the question they came to ask.

Every page on every dashboard we deliver has a title that states the takeaway, not the category.

Before
Sales Dashboard
After
Q3 revenue up 22%, driven by West
Q3 REVENUE $24.6M vs Q2 +22% UNITS 8.2K AOV $3.0K Revenue by region W
Principle 03

One story per page. Not twelve.

The default Power BI dashboard is a wall of charts. It works for the analyst who built it. It does not work for the executive who has thirty seconds before a meeting.

Each page in every dashboard we deliver answers one question. The hero element gives you the answer. The supporting visuals tell you why.

Fast, clear, and yours. In that order.

Fast

Days, not weeks. Your top-priority dashboard does not deserve to wait in a queue.

Clear

One business question per dashboard. One story on a single page. Designed so the answer is unmissable.

Yours

You own the file. You own the model. You own the DAX. No retention. No dependency. No lock-in.

What you get back.

Most dashboards are a wall of charts. Yours will not be. Every engagement starts with the same diagnostic question: do you know the business question this dashboard has to answer?

If yes, we move fast. If no, the discovery session settles it before we touch a file. Either way, the dashboard you receive tells one clear story on a single page, designed so the answer is unmissable.

You own the file. You own the model. You own the relationships and the DAX. We are not building a dependency. We are giving you a deliverable.

Five hundred dashboards inside the companies whose names you know.

Three Birds was founded by Garrett Bellinghausen, an enterprise analytics leader with thirteen years of experience and over five hundred production dashboards delivered inside Fortune 500 companies across medical devices, pharmaceuticals, consumer goods, and advertising.

The thesis is simple. The dashboard delivery cycle inside large organizations is broken, and the dashboards themselves rarely tell a clear story. Both problems compound. Both are solvable with the right framing, the right discipline, and the right design judgment applied at the start of every engagement, not the end.

Three Birds is the practice that proves it. One dashboard at a time.

Background
  • 500+ production dashboards delivered
  • 13+ years enterprise BI experience
  • Fortune 500 BI experience
  • MBA, Business Intelligence, UMass Boston
  • US-based. Boston, MA.

Don't worry about your data. Every little thing is gonna be alright.

Let's scope your dashboard.

Fifteen minutes. No slides. We will tell you whether we are the right fit and, if we are, what the engagement looks like. Pick a time below.

Book a 15-min call