As Analytics professionals, we can work days or weeks building and validating predictive or descriptive models.  However, the success of an analytics project does not just depend on the model building.  To truly be a success, we need to deploy our models, integrate them into workflows, and use them to change business processes.  Operationalizing the analytic assets can be the most rewarding part of the process, but how do we know if we are successful?  How can we ensure that once analytics are deployed in production that the environment will remain stable and continue to produce the desired results?