Industrial data, turned into the software your team runs on.
You have dashboards. The question is whether anyone works from them. We build the data foundation and the internal applications your production, planning and quality teams actually work in.
Trusted by machine builders and manufacturers.
Having data isn't the same as knowing what to measure.
Your lines, your ERP and your MES already produce more numbers than anyone reads. The hard part is knowing which of them actually tell you something.
So we start with the decision, not the data: what do you want to decide, and what's worth measuring to support it. That is the first thing the Quick Scan settles.
Which line loses the most, and why?
Where is maintenance effort spent without return?
Are we hitting the OEE we target?
Which parts will fail before the next stop?
How we work in your operation.
Four steps from production data to decisions on the floor. You decide which steps we do, and which stay with your team.
Connect to your existing stack
We integrate with your ERP (SAP, D365, Exact, Infor), MES, historians (PI System, AVEVA) and sensor layers. We don't replace what works. Vendor-neutral by default.
Build the data layer your plant runs on
Medallion architecture on Azure: Bronze, Silver, Gold. Hosted in your tenant or ours, depending on your data residency and food-safety / traceability requirements.
Build the reports each role actually uses
Power BI per role: planner sees OEE per line with downtime causes, maintenance sees MTBF, ops director sees OTIF. One foundation, distinct working views.
Build the application your team works in
We build the internal application on your foundation, shaped around your process, the work that still runs on Excel and email. Your planner, engineer or maintenance manager keeps control, with roles, status and a full audit trail built in.
Full technical breakdown of every building block on what we build →
Three modules. One foundation.
Built on a Medallion architecture, on top of your existing ERP, MES, historians and sensors. Each module can start independently and grow over time.
Real-time OEE, downtime causes and deviations per production line. The daily follow-up that now lives in Excel and email, turned into one application your planner works in.
Discover Production Performance →Forecast accuracy, OTIF and delivery performance in one view. The order follow-up that now runs on spreadsheets and email, turned into one application your planner works in.
Discover Planning & Delivery →Quality, defects, MTBF and MTTR in context. The maintenance and parts follow-up that now sits in Excel and email, turned into one application your maintenance manager works in.
Discover Quality & Maintenance →Built for two manufacturer sectors.
We focus on two sectors where we know the operational reality and have working reference cases. Process control DNA carries across both.
Food & beverage
Food, beverage, dairy and prepared foods manufacturers. OEE, OTIF, food safety, traceability, and forecast accuracy across multi-site operations.
Discover the food & beverage approach →Packaging materials manufacturers
Producers of corrugated board, plastic packaging, flexible films and labels. Continuous-process operations with cycle, scrap, energy and quality intelligence.
Discover the packaging materials approach →
The data was there. The shared truth wasn't.
Across production sites, the same pattern kept showing up. The ERP team had its definitions, the MES team had others, the planners trusted their own spreadsheet, and the operations director got reports that didn't match what the floor saw. Everyone was right. Nobody was aligned.
We built StriData to close that gap for manufacturers. Not a generic BI project. One Medallion foundation that aligns ERP, MES, historian and sensor data, with internal applications that turn those shared facts into the daily work your team runs on. Your planner and maintenance manager stay in control. Your plant starts steering on numbers everyone trusts.
What this looks like in practice.
Machine data and ERP combined for real-time operational control.
Van Loon Group runs multiple food production sites. StriData linked PatchOEE machine data and Reflex ERP at production-order and line level, creating one reliable foundation for shop-floor screens and Power BI reporting across locations.
“By connecting machine data and operational information, we gained more insight into what happens on the production floor. That helps us respond faster and make better-informed decisions.”
Jack Spierings · Van Loon Group
Read the Van Loon case →Questions manufacturers ask us.
Which source systems do you connect to?
ERP (SAP, Dynamics 365, Exact, Infor), MES and QMS systems, historians (PI System, AVEVA Wonderware), file- and API-based sources, custom databases, and direct sensor layers when needed. We work vendor-neutral and build on what is already there.
We have dashboards already but no one looks at them. What's different here?
The difference is that we don't stop at reports. We turn the daily follow-up, the part that still runs on Excel and email, into an internal application on your foundation. Your planner or maintenance manager works in it, actions are logged, and that changes behaviour where dashboards alone don't.
How many sites do we need to make this worthwhile?
One. We typically start with a single site, validate the approach, and replicate to others once it lands. Multi-site rollouts work best when the first site has produced concrete proof.
How does the engagement work?
Quick Scan as the entry point (short, fixed-price exploration). Optionally an Architecture Scan for deeper roadmap work. Then a phased build of the foundation and first module. After go-live, an ongoing managed service with SLA, or full handover to your team.
Can you work alongside our existing BI or data team?
Yes. We frequently work as a specialist layer next to internal teams. We bring the Medallion methodology, the internal applications, and the production-grade delivery patterns. Your team keeps ownership where they have it.
What if we already have a data warehouse?
We build on top of it rather than introducing a second layer. The Quick Scan establishes what is there, what is usable and what is missing. Many of our engagements begin exactly this way.