Forecasting · Dashboards · Automation

See what's coming.

DataLever turns the messy operational data inside your business into forecasts, dashboards, and automation you can run decisions on — and defend to a lender, a board, or yourself.

Book a 30-minute call What we build
What we build

Three things, done so you can trust the output.

Not a platform you have to learn. Delivered work — built for your data and handed over working.

01 / Dashboards & Agents

Dashboards & Quick Answer Agents

The handful of numbers that run your business — live and reconciled, not a 40-tab spreadsheet only one person understands. Ask a question in plain English and a Quick Answer Agent responds straight from your numbers.

02 / Forecasting

Forecasts

Cash flow, demand, inventory, and capacity. Models that tell you what's coming — a slow season, a cash crunch, a stock-out, a hire you'll need — while there's still time to do something about it.

03 / Automation

Automation

The repetitive back-office work that eats your team's week, handled. Reporting packs that assemble themselves, on schedule.

From mess to machine

We map the tangle your business runs on today — then automate the path straight through it.

The same work, before and after. The gold steps are the ones we hand to automation, so your team stops touching them.

Today · manual & tangled
Job done Paper ticket Email / text Manual entry Voicemail Spreadsheet Invoice? Chase pay
With DataLever · automated
Job completed YOU Data captured AUTO Books updated AUTO Invoice sent AUTO Reminders sent AUTO
Dan Burnside, founder of DataLever
Dan Burnside
Founder · DataLever
Why DataLever exists

I've stood where you stand.

"I bought a small business thinking I'd scored a great deal. What I actually bought was a hard education in everything an owner has to carry. Every vendor I tried to hire made it worse — generic SaaS that didn't fit, or consultants who didn't understand my business. I built DataLever because owners deserve a better partner."

  • Built cash-flow & deposit forecasting for the C-suite at Silicon Valley Bank
  • Acquired and operated a residential HVAC business (Colorado)
  • Data consulting for the world's largest utilities — making the grid AI-capable
  • Featured on the Acquiring Minds podcast (episode 451)
  • Early ML & predictive modeling at American Airlines
  • Large-scale operations leadership at Amazon

I started in analytics — building predictive models before "AI" was a marketing term — then built the cash-flow and deposit forecasting a bank's leadership relied on, and ran operations at scale. Later I bought a business of my own, where there was no enterprise behind me and everything fell onto my plate, manually. I rolled up my sleeves and built the automations and systems I needed. DataLever exists because owners deserve better than what's currently for sale — so I built what I wish I'd had.

Start here

Where are you starting from?

The work is the same engine. The starting point isn't. Pick the one that sounds like you.

Just acquired

I just bought a business.

You closed, inherited a pile of spreadsheets and someone else's QuickBooks, and now you need visibility you don't have. Get instruments in your first 100 days.

See the acquirer track → Established owners

I've run my business for a while.

You built something real — but it still runs out of your head and a pile of spreadsheets. You can't fully step back, your team can't see the numbers, and every decision still routes through you.

See the owner track →
How it works

A fixed price for an answer — not an open meter.

You never buy hours. You buy a defined outcome, in three steps.

01 — Diagnostic

Find the problem

A fixed-fee audit of your data and a roadmap of exactly what to build and what it's worth to you.

Yours to keep, either way.
02 — Build

Build the fix

A fixed-fee build of the forecasts, dashboards, and automation the diagnostic identified. Priced to the outcome.

Diagnostic fee rolls in.
03 — Retain

Keep it sharp

A monthly retainer to maintain it, extend it, automate the next thing, and answer the next question — without hiring a data team.

Month to month.
No pitch, just your numbers

Thirty minutes. Your data. A straight answer.

Tell me what you can't see clearly right now. I'll tell you whether it's worth fixing and what it might look like.

Book a 30-minute call Email instead