Historian Basics
What an industrial historian does, what to plan before collecting data, and common mistakes in historian projects.
What a historian does
A historian stores industrial time-series data, events, and context so teams can review what happened, troubleshoot issues, calculate performance, and support reporting or compliance.
What to plan
Before collecting everything, define the purpose of the data. Decide which values need high fidelity, which can use exception reporting, which require long retention, and which need batch or production context.
Key settings
- Sample rate or subscription behavior.
- Compression, exception, or deadband rules.
- Engineering units and scaling.
- Quality flags and bad data handling.
- Retention and backup policy.
- Access pattern for reports and analytics.
Common mistakes
Collecting too much without context, ignoring quality, storing renamed tags without lineage, using trends as the only validation method, and underestimating storage growth.
Practical rule
A historian is valuable when data is trustworthy, contextual, and retrievable by people who need to make decisions.