The company's identity is rooted in engineering expertise, advanced CNC capabilities, and a process designed around collaboration and continuous improvement. In recent years, that same mindset was applied to how data moves through the organization.
How Reata Turned Real-Time Data into Measurable Manufacturing Gains
Case Study from | Datanomix
For decades, manufacturers have accepted a gap between what the business plans and what actually happens on the shop floor. Schedules drift. Utilization gets estimated. Late jobs are discovered too late to fix.
At Reata Engineering & Machine Works, that gap was closed intentionally.
Founded more than 30 years ago, Reata Engineering, based in Englewood, CO, has built its reputation by taking on complex, high-precision work that demands more than standard machining. The company’s identity is rooted in engineering expertise, advanced CNC capabilities, and a process designed around collaboration and continuous improvement. In recent years, that same mindset was applied to how data moves through the organization.
The result was a connected manufacturing environment that delivered measurable improvements in uptime, utilization, and return on investment.
Engineering First, Technology Everywhere
Reata’s approach to manufacturing starts long before a machine is powered on. Its process emphasizes engineering-led collaboration, design for manufacturability, and early validation to reduce risk and rework later in production. That foundation makes Reata well-suited for complex parts, tight tolerances, and demanding customer requirements.
But as the shop grew, one challenge became clear. While the engineering process was highly refined, production visibility lagged behind. Key questions were more challenging to answer than they should have been:
- Are machines running as planned
- Is utilization matching the quoted assumptions
- Which jobs are trending late, and why
Answering those questions required too much manual effort and too much guesswork.
Reata decided to extend its engineering philosophy to production data.
Closing the Loop Between Plan and Reality
Rather than adding another reporting layer, Reata focused on connecting systems that already held critical information. By implementing Datanomix Production Monitoring, real-time machine data is directly integrated into production planning and scheduling workflows, creating a closed loop between what was planned and what was actually happening on the floor.
“What it’s really done for us has given us clarity, has given us confidence in the things that we are doing, and we know that we’re doing them right.”
Adam Zaouague - Automation & Data Specialist at Reata Engineering
This approach gave engineers, operators, and project managers a shared, real-time view of performance. Schedules were no longer static. Capacity decisions were grounded in actual machine behavior. Issues surfaced early enough to be corrected.
The goal was not more dashboards. It was confidence.
Confidence that quoted cycle times reflected reality.
Confidence that schedules could be trusted.
Confidence that decisions were backed by live data.
Bringing ERP, Engineering, and the Shop Floor Into One System
Real-time machine data alone doesn’t solve scheduling, quoting, or delivery challenges. At Reata, the real breakthrough came from connecting Datanomix’s shop-floor performance data to Fulcrum to enable more accurate planning and execution.
By integrating ERP data with live production signals, Reata aligned three critical layers of the operation:
- ERP for jobs, routings, due dates, and customer commitments
- Engineering for expected cycle times and process assumptions
- Shop floor execution for actual machine performance
This connection eliminated manual data entry and closed the gap between what was planned in the system and what machines were actually delivering. Job status, progress, and completion were no longer based on estimates or lagging updates. They were driven by real production activity.
With ERP and machine data synchronized, Reata could see downstream impacts earlier. If a job began drifting off plan, the team had time to adjust schedules, reallocate capacity, or communicate proactively. On-time delivery became a managed outcome rather than a hopeful target.
The result was not just better reporting, but faster, more confident decision-making across engineering, operations, and customer-facing teams.
Reata has shared more details on how it connects ERP, scheduling, and real-time production data in a joint webinar with Datanomix and Fulcrum.
You can watch the discussion here.
Results at a Glance
Once the connected environment was in place and adopted across the team, Reata saw rapid, measurable improvement.
Performance Impact:
- 27% increase in uptime
- 28% increase in machine utilization
- 10% reduction in common waste
Annual Gains Per Machine:
- 204 additional productive hours
- $16,308 in recovered productivity
- 7x return on investment
These gains were achieved without adding machines or headcount. They came from better visibility, faster decision-making, and tighter alignment between engineering intent and shop-floor execution.
Why the Approach Worked
Two factors made the difference.
First, Reata’s engineering culture and Datanomix’s Kick-Ass Coaching accelerated adoption. Engineers were already accustomed to validating assumptions and refining processes. Applying that same rigor to production data felt natural rather than disruptive.
Second, real-time visibility changed behavior. Operators began competing against planned cycle times. Engineers refined programs based on actual performance. Project managers intervened earlier when jobs drifted off plan. On-time delivery stopped being an abstract KPI and became something individual machines and teams could influence.
A Modern Blueprint for Manufacturing Performance
Reata’s experience highlights a shift happening across the industry. Competitive advantage is no longer defined solely by equipment or labor. It comes down to how effectively manufacturers integrate engineering, production, and data into a single operational system.
For manufacturers looking to improve throughput, predictability, and profitability, the takeaway is straightforward. The data already exists on the shop floor. The value comes from making it usable, visible, and actionable.
For Reata, that shift turned visibility into results and technology into a measurable return.
To learn more about how real-time production data supports connected manufacturing environments, visit Datanomix.
The content & opinions in this article are the author’s and do not necessarily represent the views of ManufacturingTomorrow
Datanomix
Datanomix empowers manufacturers of all sizes to increase productivity and profitability through its Data-Powered Productionâ„¢ solutions. Its product portfolio includes Production Monitoring, G-Code Cloudâ„¢ + DNC, TMAC AIâ„¢, and ToolAnalytixâ„¢ - all designed to turn machine data into actionable insights with zero operator input. Headquartered in New Hampshire, Datanomix software analyzes real-time production signals to identify bottlenecks, improve quality, and provide prescriptive coaching to drive continuous improvement. For more information, visit www.datanomix.io.
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