Free Consultation
An honest conversation about your data environment, where you want to go, and whether there's a fit. No pitch.
Matthew Bargstadt · Des Moines, IA
Analytics that works.
Analytics that works.
Week by week.
Most analytics engagements end with a presentation and a new dependency. This one ends with a product your team owns — built simply, delivered in a sprint, and designed to last.
Get in Touch
Booking new engagements starting September 2026
The full stack, one person
Raw data becomes a working product — with no handoffs and no gaps in between.
01
RAW DATA
whatever you have, however messy
02
ANALYTICS
PIPELINE
PIPELINE
SQL-first, version controlled
03
ML MODEL
(IF NEEDED)
(IF NEEDED)
only when it earns its place
04
DASHBOARD OR
DATA PRODUCT
DATA PRODUCT
containerized, client-owned
No perfect infrastructure required. No clean data required.
How it works
Four stages. You can stop after any of them.
01
no cost · 45 minutes
02
$2,000
Paid Assessment
A concrete, actionable roadmap of what to build and in what order. Yours to keep — whether you hire me for the work or not.
03
scoped per engagement
Sprint Engagement
I build the defined deliverable and demo it at the end. Working output — not a slide about future output.
04
by arrangement
Ongoing Retainer
Only applies if I remain the owner of something that needs upkeep — like a predictive model that requires retraining and monitoring. Most deliverables carry no strings.
What's different
Honest counsel, built to be owned.
—
Honest counsel over ceremony. You'll hear when you don't need ML, and when a dashboard is enough.
—
You own it when it's done. The handoff is part of the work, not an afterthought.
—
No lock-in. Most deliverables run on your own systems from day one.
—
Full stack, one person. Raw data to dashboard — no handoffs, no gaps.
Every sprint ends with a working analytics product. Not a PowerPoint.
Selected work
15+ years, built inside real constraints.
CASEY'S
Built foundational ML deployment patterns still in use today, and rebuilt broken consultant models (price elasticity, fuel routing) to make them work.
JOHN DEERE
Built global sales lead analytics adopted by 80% of North American dealerships. Recipient of the John Deere 2019 President's Award.
STATE OF IOWA
Designed the system architecture to integrate data across disparate government systems and blend with public data sources — making analytics possible where data complexity had previously made it impractical.
Technical stack
Lean tools. Client-owned infrastructure.
Get in touch
Let's talk about your data.
Engagements work best with one point of contact who can speak to the business goal and one who can speak to your systems/data — this can be the same person. Most deliverables (dashboards, pipelines, one-off tools) are yours to run on your own once handed off, no strings attached. For things like predictive models that need ongoing maintenance — retraining, monitoring, updates as your data changes — a monthly retainer covers that upkeep for as long as I remain the owner/maintainer. We'll be clear about which category your build falls into before the sprint starts.
Get in Touch →