Improve the transparency and accuracy in measuring & reporting sustainability metrics

Certify Your Sustainability Reporting

Because a company’s profitability is increasingly tied to its sustainability outcomes, the need for accurate environmental reporting has never been greater. Inaccurately reporting emissions can lead to massive fines and perhaps more detrimentally, hurt the company’s reputation.

DataWise Your Reporting

APERIO DataWise guarantees the data used to report metrics to stakeholders is accurate.

Drive HS&E Initiatives

Meet HS&E goals without regularly-scheduled physical inspections

Avoid Penalties

Minimize environmental impact and avoid the penalties of misreporting.

Optimize Visibility

Enhance visibility and asset utilization across sites and enterprise-wide.

Drive AI Initiatives

Build AI tools to minimize GHG emissions based on accurate data.

Greater Data Quality Drives Transparency in Reporting

Use APERIO DataWise to automatically measure, improve, and track data quality continuously and at scale.

Greater Transparency in Reporting

Transparency is key to building trust with employees, shareholders, and the community. Validated data promotes transparency by guaranteeing the accuracy of the reporting data without the need to clean the data.

Continuously Monitor Assets

Continuously monitoring assets can drive optimized energy usage and reduced carbon emissions. Detecting data irregularities can be a predeterminant of impending equipment failure and downtime.

Future-proof Your GHG Emissions

Better data creates added value. Beyond greater transparency through accurate measurement and reporting, high data quality is required to build the AI needed to reduce emissions.

GHG compliance involves refinery-level data where reporting on emissions must adhere to stringent reporting; we need accurate data and automated data flows.

– ESG Analyst

Case Study: Quick Identification of Dead Tags

Companies have thousands of instruments per unit. Not all instruments are used in control or in data models but still represent the status of a process unit. These non-critical instruments tend to get overlooked for maintenance until someone needs that information for reporting or models, or they learn a transmitter failed.

The true cost of poor data quality

APERIO enables operators to quickly identify and address integrity issues for improved visibility, better asset health, and/or operational efficiencies.

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