It is a challenge to make an analytic model work in a production environment, as it requires teamwork from IT, Data Management, Analytics, and Business units. The goals of the process are threefold:
- Build models with repeatable, reliable results that do not depend on any single person or working environment to operate.
- Make model results available to end-users in a timely and useable manner.
- Monitor model performance on an ongoing basis to ensure quality and alert analysts to any degradation over time.
Download this paper to learn about strategies for achieving these goals.