Production data foundations for manufacturers
Bring machine, production, inventory, and sales data together into a validated model so manufacturers can trust unit costs, capacity, and reports.
Manufacturing data lives in many places, including machine controllers, production spreadsheets, the ERP, quality logs, and the accounting system. When those sources disagree, nobody can say with confidence what a product really costs, where capacity is lost, or which customers are most profitable.
We consolidate those sources into a documented data model, with validation and reconciliation checks so totals match the systems they came from. Reports then answer real questions about yield, scrap, cost per unit, and on-time delivery, and the same clean data feeds planning and any automation that follows.
Things to keep in mind
- Machine data often needs time alignment and unit conversion before it is useful.
- Keep raw extracts so every reported figure can be traced.
- Plan data collection changes around production schedules.
How it works
Inventory the sources
List machines, spreadsheets, ERP tables, and logs that hold production and sales data.
Agree definitions
Units, shifts, scrap, and cost categories are standardized across sources.
Load and reconcile
Data moves into the model with checks that counts and totals match the sources.
Build the reports
Yield, scrap, cost per unit, and on-time delivery come from one source of truth.
Frequently asked questions
Can you pull data from our machines?
Often, through the controller's export, a historian, or a gateway. We review what your equipment supports first.
What does data work cost?
Data engineering is $125 to $225 per hour, usually fixed in scope after an assessment.
More for manufacturing
AI automation for manufacturers
Automate purchase orders, supplier documents, quality records, and shipping paperwork in manufacturing, with staff confirming every extracted value.
See how it works →NETPlant-floor networks for manufacturers
Segment production equipment from office systems, secure vendor remote access, and plan reliable coverage across the plant floor.
See how it works →Financial planningPursuitBid for manufacturers
Plan cash around materials, inventory, and customer terms, and test big orders, price changes, and hires in scenarios before committing.
See how it works →Talk through Data & Database Engineering for your business.
Tell us what needs to work better. We reply within one business day with a clear next step.