Align field names, units and formats to reduce inconsistent interpretation.
NAZARE · Data quality
Know the condition of the data you rely on.
Distinguish missing, late and out-of-range values. Manage original records alongside processing criteria to improve confidence in data used by engineers and AI.
Keep data on siteStart small, expand as needed

What changes on the shop floor
Data quality
Check completeness, duplicates, ranges and freshness against defined criteria.
Identify affected data and reprocessing windows when rules change.
Trace data from its source through preparation to AI inputs.
Connection & operating details
Representative connections: MODBUS (TCP/RTU/ASCII), MELSEC, FANUC and MSSQL. MES, ERP and QMS connect through available databases, files or APIs. Scope depends on equipment models, controller options and network conditions.
The same data, ready for the next task.
Start together
Tell us what you want to improve first.
Tell us about your equipment, data and priorities to review a path from connection to operations.
