Predictive models often interface with sensitive data of business-critical processes such as financial reporting and customer relationship management applications. In response to legislation and increasing scrutiny by regulatory bodies, organizations are more accountable for the ways that they interact with sensitive information, and also in how they arrive at business decisions.
SPSS Predictive Enterprise Services automatically creates an audit trail for every object that is stored in the Predictive Enterprise Repository, so that every change made is recorded and recoverable.
With this solution, you automatically create logs of predictive analytics operations with complete histories that include:
If you use data mining or rules-based models to make key decisions, you may need to explain the basis for these decisions to satisfy compliance for Sarbanes-Oxley, Basel II, and other regulations. This executive brief explains how you can address regulatory compliance by using proven analytics management technology to automatically audit your predictive models, track your analytical assets over time, and centralize and secure predictive models. By doing so, you will be able to demonstrate compliance while protecting your analytical assets.
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