Everyone in the shop knows the programmed cycle time isn’t the full story. Kyle Myers at Flying S explains how their team uses Datanomix to see actual cycle times, how long it really takes to get the first part, and every part after that. With real numbers in hand, they can

Every shop struggles with the same questions: Where did we lose time yesterday? Why did that machine go down? How close did we run to plan? The Espresso Report delivers those answers before your morning huddle even starts. See utilization, uptime, downtime reasons, and total

Each year, we celebrate what makes this team great: turning challenges into wins, growing stronger together, and embracing a little healthy friction along the way. Check out the fun we had during our 2025 team outing on #lakeWinnie and at our family BBQ with the Wicked Tasty

“I don’t want to be left in the past. I just want things to be easier for everybody. That’s why I signed with Datanomix. It’s a game changer.” — Daniel Anglemyer, Manufacturing Manager, Hibshman Change shouldn’t feel hard, and with us as your partner, it isn’t. We make the

“Datanomix is honestly the easiest software company I’ve ever worked with.” — Kyle Myers, Flying S Integration was simple, data collection happened automatically, and with the support of our Kick-Ass Coaching, the Flying S team had everything connected and insights in no time.

Datanomix is hiring BDRs in our Nashua, NH office! We’re looking for sharp communicators who love starting conversations and want to help precision manufacturers improve their operations with real-time data and analytics. If you’re ready to join a fast-moving team with a

Most #manufacturers think they know their #capacity. But when we asked in our latest webinar, 93% said they didn’t have hard data. Machine capacity isn’t a static number in a spreadsheet; it’s a living metric that changes minute by minute on the floor. And if you don’t know how

Most shops quote work assuming 70–80% #utilization. Reality check? Most machines are running 30–50%. That’s not just a performance gap; it’s lost profit. When your quotes assume twice the #productivity your machines actually deliver, you’re underpricing every job that hits the