Model Management and Governance - By Martin Butler
Using predictive models
- Reduce regulatory overhead. Spend less time on audits and more time developing new models. Address regulatory requirements easily through workflows and documentation.
- Avoid poor decisions caused by degraded models. By automating the validation, tracking, and monitoring of existing models, you can receive early identification of model degradation—and making your best decisions.
- Deploy models quickly. With reduced regulatory overheard, the environment is better managed and you can dedicate more resources to the task. Also, FICO has tools available to port models from one language to another; the one used in development environment might not be the one used in production. Without these tools, significant delays and extra costs are almost a given.
- Consider all your options. Model management is a prerequisite for optimization and reporting. By offering more sophisticated modeling and simulation, what-if scenarios can be tested and analyzed through prescriptive analytics.
Save time. Save money. Keep your teams focused on business requirements, and not overloaded by compliance workloads. Learn more about how effective model management can do that for you. Download "Model Compliance and Governance - White Paper" by Martin Butler.