Reliable Data for Real Climate Impact: Inside Saint-Gobain’s Partnership with Sifflet
Reliable ESG data is the foundation of any credible climate strategy. To meet its 2030 carbon reduction target, Saint-Gobain needed total confidence in the data behind every emissions metric. Partnering with Sifflet, the company made observability a strategic capability, turning data trust into a measurable business advantage.

A global leader in sustainable construction, Saint-Gobain designs, produces, and distributes materials and services for the building and industrial markets. Present in more than 80 countries with 161,000 employees and €46.6 billion in revenue, the company’s mission is simple but ambitious: Making the World a Better Home.
For a company operating across 80+ countries and 160,000 employees, every data point represents a piece of its carbon footprint. To make good on its commitment to cut emissions by a third by 2030, Saint-Gobain needed absolute trust in the data driving its decarbonization programs.
Saint-Gobain’s data platform on Snowflake supports hundreds of sustainability, energy, and operations pipelines across 80+ countries. The company’s Grow & Impact roadmap depends on reliable, real-time data to track CO₂ emissions and resource efficiency at global scale.
Maintaining trust in that data isn’t optional; it underpins compliance, reporting, and executive decision-making across decarbonization programs.
From Data Silos to Reliability Risk
As Saint-Gobain expanded its Snowflake-based platform, data reliability issues multiplied. Minor breaks in upstream pipelines cascaded into ESG dashboards, distorting emissions metrics and delaying compliance submissions. Existing monitoring tools provided partial visibility but lacked the context and automation needed for large-scale sustainability reporting.
The data organization required an observability layer capable of:
- Detecting incidents across ingestion, transformation, and BI layers
- Correlating data issues with downstream ESG KPIs
- Scaling deployment and maintenance through infrastructure-as-code
Operationalizing Data Trust at Global Scale
Saint-Gobain selected Sifflet to deliver end-to-end data observability across its Snowflake environment, ensuring the reliability of sustainability and operational data pipelines.
By implementing Sifflet, the team established automated monitors for freshness, schema, and volume across critical datasets, including energy consumption, materials flow, and production metrics.
The rollout followed a scalable, hybrid model:
- Phase 1: Manual deployment of technical monitors for core pipelines
- Phase 2: Collaboration with business teams to codify sustainability-related rules (e.g., missing emission readings, duplicate entries, revenue drift)
- Phase 3: Full industrialization through Terraform, integrating Sifflet alerts with ITSM systems for automated resolution workflows
Quantifying Trust: The Data Reliability Impact
Within just three months of implementation, Sifflet helped Saint-Gobain reduce data downtime by 60%, restoring accuracy to ESG dashboards and operational reports.
Data Coverage
- 200+ critical datasets monitored across global sustainability, energy, and operations domains
- End-to-end visibility into emissions data pipelines across 60+ countries
- Continuous monitoring of Snowflake tables, streams, and tasks for freshness, schema, and accuracy
Efficiency Gains
- 60% reduction in data downtime, saving 18 man-days per quarter
- 3 FTE equivalent saved through faster anomaly detection and root-cause analysis
- Seamless integration into existing ITSM systems and workflows for automatic ticketing and triage
- Deployment scaled with Terraform to cover sustainability datasets and production systems
Collaboration & Accessibility
- Data and sustainability teams empowered with shared observability dashboards
- Improved cross-department collaboration between IT, ESG, and Operations
- Contextual alerts linking data incidents to downstream business and environmental KPIs
- Stronger data culture supporting enterprise-wide climate accountability
Business Impact
- Reliable emissions tracking to support Saint-Gobain’s goal of -33% CO₂ emissions by 2030
- Enhanced data quality across energy, materials, and logistics pipelines
- Greater confidence in ESG and compliance reporting for stakeholders and regulators
- Alignment between data reliability and Saint-Gobain’s mission to Make the World a Better Home
As a result, Saint-Gobain’s data teams now deliver trusted insights to sustainability leaders, enabling smarter, faster decisions in the race toward decarbonization.
How Sifflet Connects Data Reliability to Business Outcomes
Sifflet provides contextual observability built for scale.It aligns technical and business perspectives by combining automated monitoring, data lineage, and workflow integrations within existing data ecosystems.For Saint-Gobain, Sifflet became the reliability backbone connecting sustainability analytics with operational trust.