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Data accuracy in sustainability reporting is vital for companies disclosing their emissions. Companies save time and precious resources when reporting or preparing for third-party assurances if they can minimize human error, ensure seamless scalability, and proactively detect data anomalies.
In this webinar, attendees will see first-hand how Sustain.Life’s new data anomaly detection, data quality, and data review features create automated enhancements that elevate the quality of your emissions inventories. We'll also highlight how users can rectify anomalies, remove duplicate data, and utilize our cutting-edge interpolation tool to bridge data gaps using historical records. For any organization looking to set a science-based emissions reduction target or preparing for a third-party data audit, these new features ensure your sustainability reporting is accurate and credible.