Building Resilient Models to Address Dynamic Customer Data Use Rights

A system for building a decision or prediction model used for analyzing and scoring behavioral transactions, wherein a customer dataset in a model development store used to build an original model is subject to a data right usage withdrawal, the original model having coverage over the customer dataset, the system comprising computer hardware configured to perform operations comprising:

• extracting, using data sampling, a portion of the customer dataset to generate a model surrogate dataset;
• discretizing vectors present in both the model surrogate dataset and the customer dataset;
• receiving data representing the data right usage withdrawal from the customer dataset;
• determining a depletion of the model surrogate dataset according to the data right usage withdrawal;
• and
• computing an estimated mean time to coverage failure of the original model based on the depletion of the model surrogate dataset according to the data right usage withdrawal.

A system comprising:

• a programmable processor;
• and
• a machine-readable medium storing instructions that, when executed by the processor, cause the at least one programmable processor to perform operations comprising:
• extract, using data sampling, a portion of the customer dataset to generate a model surrogate dataset;
• discretize vectors present in both the model surrogate dataset and the customer dataset;
• receive data representing the data right usage withdrawal from the customer dataset;
• determine a depletion of the model surrogate dataset according to the data right usage withdrawal;
• and
• compute an estimated mean time to coverage failure of the original model based on the depletion of the model surrogate dataset according to the data right usage withdrawal.