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Industrial sensor data is essential for operational and management decisions, but in reality, it is often incomplete, inconsistent, or misleading. Bad sensor data leads to time-consuming manual checks, delayed decisions, and unnecessary risk. Without a reliable way to validate data before it is used, teams end up debating numbers instead of acting on insights. Timeseer addresses this challenge by acting as a sensor data validation layer, automatically detecting data quality issues, validating signals, and resolving inconsistencies so that data is fit for purpose before it reaches reports, dashboards, or decision-makers.
Saint-Gobain has deployed Timeseer across 70+ industrial plants, making it a cornerstone of how sensor data is validated and transformed into trusted insights at scale. Deployment teams use Timeseer to rapidly analyze and validate complex time-series data, sharing clear, reliable results with plant engineers, operations teams, and management before critical decisions are made.
Today, Timeseer supports structured, data-driven performance reviews, including the validation of weekly operational reports. By systematically detecting trends, deviations, and anomalies; and automatically distributing validated insights across the organization—Saint-Gobain reduces risk, accelerates root-cause analysis, and increases confidence in both operational and management decisions. Timeseer provides trusted data across all their plants.
Looking ahead, Saint-Gobain is expanding Timeseer to energy monitoring and optimization, using validated sensor data to analyze energy consumption patterns at plant and process level. This enables the identification of inefficiencies, abnormal consumption, and improvement opportunities, supporting energy-per-unit tracking and sustainability objectives.
In this webinar, Saint-Gobain will share how they:
- Scaled sensor data validation across 70+ plants
- Detect, validate, and automatically resolve data issues before decisions are made
- Build trust in performance and energy insights across teams
- Extend data validation from operational excellence to sustainability
Join this session to learn how industrial leaders ensure their sensor data can be trusted—before it drives action.