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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
NAZAREFamiliar signal names
Familiar signal names

What changes on the shop floor

Data quality

01

Align field names, units and formats to reduce inconsistent interpretation.

02

Check completeness, duplicates, ranges and freshness against defined criteria.

03

Identify affected data and reprocessing windows when rules change.

04

Trace data from its source through preparation to AI inputs.

NAZARE

Explore the tools behind your daily operations.

From connections and analysis to maintenance and administration: see what each screen helps you do.

Connect and organize plant data

Manage access and operating standards

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.

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.

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