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Data

Dashboards built on your real numbers — not a vendor's monthly invoice.

For the owners, ops leads, and finance folks still dragging CSVs into Excel every Monday. Dashboards that tie out, refresh overnight, and live in the tools you already pay for — not a vendor's monthly invoice. From $250.

Free, no slideware — just a look at your data.

What every dashboard gets by default.

Not upsells — the floor.

How we build these.

A real data model underneath, the right tool for each job, and zero vendor lock-in.

Star schema, not flat sheets

Facts and dimensions, modeled properly. That's why your filters stay fast and your totals stay right when the data triples.

DAX where it earns its keep

Measures for the things that have to be dynamic. SQL views and ETL for the heavy lifting upstream — so the report stays light.

RDL for print and schedule

Paginated reports for anything that has to be pixel-perfect on a page or land in someone's inbox at 7am Monday. Power BI for exploration, RDL for delivery.

In-house over vendor lock-in

Built in your Microsoft tenant on tools you already pay for. No per-seat reporting tax, no "export-as-CSV-and-pray" when you want to leave.

Replaced $40K+/yr in paid vendor reporting.

Took a stack of vendor dashboards — Tableau seats, staffing-industry portal fees, a paid BI tool nobody loved — and rebuilt the whole thing in Power BI + Fabric. Same data, faster, theirs to own. That recurring spend is gone.

Three ways to start. Pick the shape that fits.

Built in your tenant, owned by you, includes the baseline above. Fixed one-page quote after a discovery call and a quick look at your data.

Dashboard

Typical range $250–$3K
Timeline
1–2 weeks
Scope
1 dashboard, 2–4 pages
Languages
English
  • One Power BI dashboard, 2–4 pages
  • Connect to one source — SQL, Excel, SharePoint, or a SaaS API
  • Star-schema model + core DAX measures
  • Scheduled refresh (daily or hourly)
Start a Dashboard project

Platform

Typical range $10K–$20K+
Timeline
6–12 weeks
Scope
Full Fabric build / embedded
Languages
Multi-language ready
  • Everything in Stack
  • Microsoft Fabric — OneLake, lakehouse, pipelines
  • Custom ETL from ERP/ATS/CRM (SAP, NetSuite, Dynamics, Bullhorn, Salesforce, etc.)
  • BigQuery or Synapse for heavy analytical workloads
Start a Platform project

Extras, when you need them.

Slot onto any package, or add later.

Paginated report (RDL)

$500–$2K each

Print-ready PDF on a schedule — invoices, statements, board decks, weekly ops digests. Built in Report Builder, delivered by email or SharePoint.

Embedded dashboard

$1.5K–$5K

Drop a Power BI report into your own web app or client portal with secure tokens. Your customers see their data, not yours.

AI Q&A over your data

$1K–$3K

Natural-language questions against your model — "what was East region revenue last quarter?" Powered by Power BI Q&A or a Copilot wiring.

Data-quality monitoring

$800–$2K

Automated checks on row counts, nulls, freshness, and reconciliation — you get the alert before the CFO does.

Team training session

$400–$800

Two hours, your team, your dashboards. They leave knowing how to filter, drill, export, and build their own simple visuals.

Monthly retainer

$300–$1K / mo

New measures, new visuals, refresh babysitting, source changes, "can we add this one chart" — bundled into a predictable monthly.

How a data project actually goes.

A call, a look at your data, then a build that ties out and stays up.

01

20-minute discovery call

We ask what decisions the dashboard needs to support and where the data lives today. You ask whatever you want. No deck.

02

Data audit + scoped quote

Quick look at your sources — how clean, how connected, how often they update. Within 48 hours you get a fixed quote, scope, and timeline. If your data is a mess, we'll say so and tell you what to fix first.

03

Model + dashboard build

Star schema first, then measures, then visuals. Progress links along the way so you're reviewing real numbers, not mockups. Reconciliation against source is part of the work, not an afterthought.

04

Launch + RLS + handoff

We publish to your workspace, set up row-level security, schedule refreshes, and walk your team through editing. Repo, model, and credentials live in your tenant.

Things people usually ask.

For a small or mid-sized business, Power BI almost always — especially if you're already paying for Microsoft 365 (it's included). It's deeper than people realize, and dramatically cheaper than the alternatives at small-business scale. Tableau is great if your team has already invested heavily in it. Looker makes more sense for large companies running on Google Cloud. But for 95% of small businesses, Power BI wins on both cost and capability. We'll confirm what makes sense for your specific setup on the call.

Yes — honestly, most of our builds start exactly there. Spreadsheets in Excel or SharePoint, exports from a vendor's portal, scattered files. Power BI handles Excel and SharePoint natively, and for vendor portals there's almost always either a download button, a scheduled email, or a behind-the-scenes way to pull the data automatically. Step one is just sitting down together and looking at what you've already got — no need to clean it up first.

For most small and mid-sized businesses, Power BI Pro is about $10 per person per month for the folks building and looking at reports — and it's often already included in your Microsoft 365 plan, so the real cost may be $0. For larger setups or scenarios where you embed dashboards inside another app, the next tier (Power BI Premium or Fabric) starts around $260 a month and replaces the per-person fees. We'll sanity-check your current Microsoft licensing on the call so you don't accidentally double-pay for something you're already entitled to.

It depends on which tier of Power BI you're on, but here's the practical answer. The standard tier refreshes data up to 8 times a day on a schedule. Higher tiers go up to 48 times a day, or essentially real-time for things that genuinely need it. Most of our clients land on hourly refreshes for operations dashboards (orders, jobs, tickets) and nightly refreshes for finance reports. Truly real-time data is rarely worth what it costs in our experience — we'll figure out the right cadence together.

Yes — this is one of the most useful features. Each person on your team gets mapped to a role (a rep, a manager, a region, a specific store, etc.), and the dashboard automatically filters what they see based on who's logged in. So a sales rep only sees their own deals, a manager sees their whole team, the owner sees everything — all from the exact same dashboard link. No need to build separate reports for each person or team.

For the technical folks: this is row-level security (RLS) implemented in the data model with DAX filter expressions tied to USERPRINCIPALNAME().

Let's talk

Tell us what decisions the dashboard needs to drive. We'll tell you what it takes to build it.

First calls run about 20 minutes — we look at what you've got and what you actually need to know. You'll walk away with a real plan: a price, a recommendation, or sometimes an honest "your data isn't quite ready yet, here's what to fix first." Whichever it is, you'll know what comes next.

— Quinton
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