IA2CD (AI Developments Applied to Data Quality) aims to design and develop an integrated solution based on Artificial Intelligence, where data quality techniques are applied at the moment the data is entered into the system. The approach focuses on ensuring that incoming data meets the required quality standards, preventing the entry of low-quality data, which is essential for any subsequent information exploitation processes.
Gradiant has created an automatic data quality rule recommender. Based on a sample data set, this recommender suggests applicable data quality rules for that set. Additionally, the system uses user feedback to improve subsequent recommendations. The recommender allows the user to start with a template of specific rules for their data, developed in a much shorter time than would be needed to create the rules manually.
