You're making decisions on numbers you don't fully trust. Let's fix that.
We build the reporting a plant actually runs on: margin, on-time delivery, and where jobs quietly lose money. Manufacturing is our specialty, and growing businesses and local government run on the same builds, all on the tools you already pay for.
Book a Briefing CallYour numbers worked as hard as you do?
You run a tight operation. Your reporting should keep up, and right now it doesn't. Month-end takes days of rebuilding the same spreadsheets. Two systems hand you two different answers. You find out a job lost money after it already shipped. We build the reporting that catches all three while you can still do something about them, pulled straight from the systems you already run and current to the day.
Three quiet ways untrusted numbers drain your year.
Almost none of it ever shows up labeled as a data problem. Research out of MIT Sloan puts the revenue lost to poor data quality at 15 to 25 percent a year, and Gartner found nearly 60 percent of companies never even measure it. Here's where it actually hides.
Month-end is a manual job
Someone spends the last three days of every month exporting from one system, pasting into another, and rebuilding the same report by hand. By the time it's finished, the month it describes is already over, and so is your chance to do much about it.
The reports don't agree
Two people pull up the same metric and get two different numbers. Now the meeting is a debate about whose spreadsheet is right instead of what to actually do, and the real decision gets pushed to next week. Again.
You can't see what makes money
Margin by customer, by product, by job is the stuff your P&L quietly averages away. So you price on last year's costs, keep customers who never made you a dollar, and learn which jobs lost money only after they've shipped.
Manufacturing is our specialty. It's not the only place it works.
Nine years and more than forty plants taught me where manufacturing data hides and how to make it trustworthy. The same approach works just as well for a growing company or a county office, because underneath the surface it's the same problem every time. If your numbers exist but nobody trusts them, you're in the right place.
Mid-market manufacturers
Production, margin, scrap, on-time delivery, and cost data that finally agree across plants and systems, so a number means the same thing in the conference room as it does on the floor. This is the work I've done for nine years.
Growing businesses
Distributors, contractors, and service firms that have outgrown the spreadsheet but aren't ready to hire an analytics team. It's the most common version of this problem: the business doubled, the reporting didn't, and now the owner is the bottleneck on every number.
Local government
Budget versus actual, fund and grant tracking, and the transparency dashboards your board and the public expect, built so they take minutes instead of the week your team loses to them now.
What it looks like when somebody actually builds the visibility.
At a large manufacturer where delivery performance touched every customer relationship, the team was managing it the way most teams do. They chased exceptions after they'd already landed, reacted to escalations as they came in, and rebuilt the same spreadsheets every week to figure out which orders had missed and why. The information existed. It was just scattered across systems and always a few days behind.
We built the layer that pulled it together. One place to see every order, on time or late, with the customer, material, and location detail that mattered to the people making the calls. It was designed alongside their leadership team, so it worked the way the operation already worked instead of forcing the operation to bend around a tool.
Performance climbed 3 to 5 percent month over month once it went live. Not because anyone worked harder, but because they could finally see issues form instead of hearing about them three weeks later from an unhappy customer. They found easy wins that got product out the door faster, and started having proactive conversations about the lanes and windows that were slipping.
For the first time, customer conversations started with their data instead of the customer's. The team had something they wanted to show, not something they had to explain.
Built for how your business actually decides.
Messy systems. Real decisions. Tools you already pay for. Here's how we get you to numbers you trust, one build at a time.
The First Build
We map how decisions actually get made, find where the numbers break, and build the report that moves the needle most. For most businesses that's money in and money out: what's making margin and what's quietly bleeding it. Built in Power BI, Tableau, or whatever your team already knows.
Expansion Builds
Once the first build is earning its keep, we point the same approach at what's next. Sales, cash, inventory, quality, operations, delivery. Each one scoped on its own, so you only ever buy the piece you need next instead of a platform you mostly won't use.
Monthly Watch
Senior analytics oversight for about a quarter of what a full-time analyst would cost. We keep your dashboards running, fix what breaks fast, and keep them honest as the business shifts, so what you trusted in March still tells the truth in November.
I ran these numbers across 40 factories. I know where they break.
Most analytics consultants have never had to stand behind a number in front of an angry customer. I have. For nine years I led operations analytics across more than forty plants, where a wrong figure meant a missed shipment, not a typo in a slide deck. I know what a report looks like when three people built it three different ways, and I know which numbers quietly lie.
That's why I don't hand you a generic dashboard and walk away. I build the view your team will actually open every morning, on the tools you already own, scoped to the decisions you actually make. If a build won't earn its keep, I'll tell you before you spend a dollar on it.
40+ plants, 9 years
Operations analytics at real scale. I've done the work behind the numbers, not just the charts on top of them.
Built to be used
If your team won't open it, it's worthless. I design for how people actually work, not how a consultant wishes they did.
Your tools, not mine
Power BI, Tableau, Looker, whatever you already pay for. No rip-and-replace, no new software for anyone to learn.
No fluff
I tell you what you need, build it, and make sure it works. If I can't actually help, I'll say so.
The methodology lives in a book.
The Data Culture Handbook lays out the frameworks every engagement runs on. Read it before a Briefing Call if you want to know exactly what you're walking into, or after if you want to keep applying what we built together.
Let's figure out if we can actually help.
Not every business needs what we do. Book a 30-minute Briefing Call, tell us where you're deciding blind, and we'll give you a straight answer on whether a build makes sense and what it would take.
Book a Briefing Call