Precomputed features stored can significantly speed up the Data Science development process and simplify maintenance, lineage, and data quality tracking.
By having a centralized repository of precomputed features, data scientists can easily access and reuse these features across multiple projects, eliminating the need to repeatedly compute them from scratch.