As today’s companies strive to become more data driven, reliable analytics and data science has become an essential part of staying competitive and keeping costs under control. Because of this most mid to large companies have created their own analytics or data science teams, or roles, that focus on producing, maintaining and scoring models. These models are essentially pieces of code that use raw data to produce insights or strategies that other teams and management rely on. Because most analytics and data scientist teams create and tune these models by hand, this work is more of a R&D field rather than a bookkeeping one. For this reason, like most R&D products, the models need to be made ready to be run in a stable, reliable and auditable fashion as fast as possible.
Model factory is a framework that helps analytics and data science teams go from a development model to a stable, reliable and auditable production model faster and with less guess work. A model factory is not one so