Organizations need a clear vision of what quality means to them and how to measure it throughout model development.
We share two practices that ensure data is relevant, sequenced, and responsive to emergent learnings.
We recommend creating a library of templated processes that can be easily modified, stacked, or combined in order to improve agility and rigor.
Models are dynamic — developing them requires investing in evaluation and a culture of excellence.
