Smart Data Quality

Automated group generation

We have automated record grouping and group strength to create the optimal training set for your machine learning model. Training sets are based on unsupervised machine learning algorithms.

Training set smart selection

We have automated the selection of training set records and have removed the cap of 20K records. You can now conveniently point the system to your complete data set. The solution will pick the relevant training set based on the matching definition of the business provided to it.

Match rule updates with changing data set

Smart Data Quality (DQ) integration with the Business Steward Module (BSM) ensures current updated match rules. Exceptions raised and approved during the entity resolution flow in BSM are now linked back to Smart DQ to train the Machine Learning Module, keeping match rules up-to-date.