Aquatic Informatics Launches HydroCorrect

The new machine-learning engine automates QA/QC processes, significantly reducing time and errors.

Aquatic Informatics™ launches HydroCorrect™, a new automated data validation tool that can power proactive monitoring and management of groundwater, flooding, and water quality in the Aquarius™ platform. HydroCorrect transforms data quality assurance and quality control (QA/QC) processes using machine-learning to automate and standardize workflows, detect data anomalies, ensure regulatory compliance, and enforce data standards organization-wide, leading to an exponential reduction in time and resources spent on the QA/QC process. The tool provides immediate recommendations on how to respond to environmental events and influence long-term decisions while ensuring the data that drives those suggestions is defensible, reliable, and timely.

Michael McCormick, Vice President of Product at Aquatic Informatics said, “Anomaly detection and correction is one of the most important and time-intensive elements of working with time series data, and it is becoming a bigger problem as data volumes grow. Aquarius already provides advanced tools to help users rapidly see and correct erroneous measurements. With machine-learning technology, HydroCorrect will transform the QA/QC process with automation and standardized workflows that save time and improve data quality.”