Business Intelligence Dashboards That Everyone Actually Trusts

Most companies do not lack dashboards. They have too many — one in the CRM, one in the payment processor, one a finance analyst rebuilds in a spreadsheet every Monday, and three half-finished views in a BI tool nobody trusts. Each defines "active customer" or "monthly revenue" slightly differently, so the numbers never match, and leadership quietly stops believing any of them.

Good business intelligence is not about prettier charts. It is about agreeing on what each metric means, encoding that definition once, and serving every dashboard from the same governed layer. When the marketing report, the board deck, and the in-product analytics all compute revenue the same way, the dashboards finally agree — and people start acting on them instead of double-checking them.

One-week metrics workshop first. We sit down with the people who actually use the numbers and pin down a single definition for each KPI — what counts, what is excluded, and over what window. You get a one-page metrics dictionary and a dashboard plan. The workshop is billed separately at $2,500 so you can commit to the build with eyes open, and the dictionary is valuable on its own.

From there we build the most-used dashboard first and get it in front of leadership before expanding. We will tell you honestly when an off-the-shelf tool on a clean warehouse beats a custom build — we would rather configure Metabase well than sell you a bespoke dashboard you do not need. You own the queries, the definitions, and the data.

We start from decisions, not charts. Before building anything we ask which decision each dashboard is supposed to support, then design the view around that decision. A revenue dashboard that nobody acts on is worse than no dashboard, because it costs maintenance and erodes trust. Every metric we ship traces back to a tested query, so when someone questions a number we can show exactly how it was computed.

We dogfood this. Our internal revenue and sales reporting runs on the same governed-semantic-layer pattern we ship to clients — one definition per metric, tested marts underneath, and dashboards that agree with the accounting. We build the reporting the way we would want to rely on it ourselves.

Founder-led from workshop to handoff, delivered remotely to clients across the United States from our base in Macon, Georgia.

Fixed-fee per scope. Typical ranges:

• One-week metrics workshop with a KPI dictionary and dashboard plan: $2,500 flat
• Executive dashboard on an existing clean warehouse: $8k – $18k
• Full BI rollout with semantic layer, departmental reports, and alerting: $20k – $45k
• Embedded, multi-tenant analytics inside your product with row-level security: $30k – $60k
• Metabase or Power BI setup on a warehouse we model for you: $15k – $35k

Optional monthly retainer for new metrics, dashboards, and embedded analytics as the business grows.