IA2CD

The project aims to design and develop an integrated solution based on Artificial Intelligence applied to Data Quality. Data quality techniques are applied at the time data is ingested into the system. The focus is on ensuring that the incoming data has the required quality, not allowing the entry of data with low quality, which is essential for any subsequent process of exploitation of the information. Gradiant has created an automatic recommender for quality rules. Based on a sample dataset, this engine makes a recommendation of the data quality rules applicable. In addition, the system uses the feedback provided by the user to improve subsequent recommendations. The recommender allows the user to start with a specific rule template for their data, elaborated in a much less time than it would have taken to create the rules manually.