Managing and monitoring statistical models can present formidable challenges when you have multiple models used by a team of analysts over time. How can you efficiently ensure that you’re always getting the best results from your models? In this paper, we’ll first examine these challenges and how they can affect your results. We’ll then look into solutions to those challenges, including lifecycle management and performance monitoring. Finally, we’ll look into implementing these solutions both with an in-house approach and with SAS®Model Manager.