Abstract: The disclosed methods, systems, and computer-program products allow a business to estimate linking errors in customer relationships in a database and to identify metrics that improve the linking accuracy. In an embodiment, a plurality of sample customer relationships are selected from a database to form a sample data set that is statistically representative of the database. Potential linking errors are then identified within the sample data set. The identified potential linking errors are then validated to identify actual linking errors in the sample data set. Once validated, the actual linking errors within the sample data set are used to estimate linking errors within the database. Further, the estimated linking errors in the database may be analyzed to identify one or more factors that contribute to the linking errors.

Abstract: The disclosed methods, systems, and computer-program products allow a business to estimate linking errors in customer relationships in a database and to identify metrics that improve the linking accuracy. In an embodiment, a plurality of sample customer relationships are selected from a database to form a sample data set that is statistically representative of the database. Potential linking errors are then identified within the sample data set. The identified potential linking errors are then validated to identify actual linking errors in the sample data set. Once validated, the actual linking errors within the sample data set are used to estimate linking errors within the database. Further, the estimated linking errors in the database may be analyzed to identify one or more factors that contribute to the linking errors.