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Proven Results

Improving OT Data Quality for Reliability Insights

March 1, 2026

The Challenge

A gas plant was experiencing persistent issues with OT data quality that undermined both reliability and maintenance efforts. Poor‑quality historian data, including missing values, duplicated tags, and inconsistent entries, was generating false alerts and eroding confidence in maintenance insights.  As a result, teams spent excessive time validating data rather than acting on it, reducing the effectiveness of reliability initiatives.
The Solution

The Solution

Spartan Controls partnered with the customer to improve OT data quality at its source and establish governance practices aligned with industrial operations.

The solution included:
  • Applying an OT data governance framework to define ownership, standards, and data usage expectations
  • Implementing automated data‑quality validation to identify missing, duplicated, and unreliable values
  • Cleansing and standardizing critical reliability tags to improve consistency and usability
  • Ensuring changes respected existing operational workflows and system reliability requirements
By addressing both governance and data quality, Spartan helped restore confidence in the plant’s operational data without disrupting ongoing operations.

The Value

With trusted OT data in place, the gas plant significantly improved the effectiveness of its reliability and maintenance programs.

Key outcomes included:
  • Reduced false alerts and unnecessary maintenance activity
  • Improved confidence in reliability and maintenance data
  • Less time spent troubleshooting data issues
  • A stronger foundation to support predictive maintenance and future digital initiatives
Most importantly, operations and maintenance teams could rely on their data to make better decisions—improving efficiency without increasing operational risk.

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Take a Data Integration Assessment

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Talk to a Local Specialist

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