Patent ID: 8630890

Claim:
A method for mining a database for product migration analysis, the method comprising: querying customers' product usage data stored in memory, the customers' product usage data in the form of a first time series for a legacy product; querying the customers' product usage data in the form of a second time series for a product replacement of the legacy product; applying, by a processor, a Neyman-Pearson based generalized likelihood ratio test that compares first changes in the first time series and second changes in the second time series to determine a transition period between a first predominance of the legacy product and a second predominance of the product replacement of the legacy product and to determine a correlation for at least portions of the first time series and the second time series; testing the first time series and the second time series for co-integration to assess a stable relationship; and using the applying of the Neyman-Pearson based generalized likelihood ratio test and the testing of the first time series and the second time series for the co-integration for successively determining a decline in the legacy product and a growth in the product replacement of the legacy product prior to, during, and after the transition period and determining a first plurality of customers of the legacy product who are at risk of being lost, a second plurality of the customers of the legacy product that have already migrated to the product replacement of the legacy product, and a third plurality of the customers of the legacy product for whom a migration to the product replacement of the legacy product is recommended.