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Home/Data Strategy & Roadmapping/Highmoor Industries
Manufacturing Case Study

Highmoor Industries

A roadmap that sequenced data infrastructure investment ahead of AI initiatives.

-30%Downtime
Highmoor Industries digitallyscaled
ClientHighmoor Industries
IndustryManufacturing
Timeline5 weeks
ServicesData Strategy & Roadmapping
The Challenge

Where things stood before

Highmoor Industries's biggest obstacle was limited visibility into production issues until they'd already become expensive — something their team had tried to patch more than once without lasting success.

Their team suspected AI could help but weren't sure where to actually start.

The Solution

What we built

Our approach focused on the root cause rather than the most visible symptom.

What we ultimately delivered was a roadmap that sequenced data infrastructure investment ahead of AI initiatives, built specifically around what Highmoor Industries needed.

  • Validated thoroughly before deployment to avoid production surprises
  • Built using dbt and Snowflake for a stable, maintainable foundation
  • Benchmarked against clear, agreed-upon success metrics from day one
  • Delivered within a 5-week timeline without cutting scope
Results

The impact, by the numbers

-30%
Downtime
+45%
Defect Detection Rate
-29%
Inspection Time
+32%
Throughput
Tech Stack

Built with

dbtSnowflakePythonSQL

“I was skeptical this would actually work for us specifically. But -30% downtime within a few months, and the process to get there was more thoughtful than I expected.”

NN
Nikolaus Novikova

Head of Data, Highmoor Industries

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