Why Data Lifecycle Processes Are Crucial for an Outcome‑Driven Enterprise Data Strategy
The article explains how well‑designed data lifecycle processes—including simple, automated CRUD workflows and dedicated data stewards—are essential for managing growing data volumes, ensuring data quality, complying with regulations, and ultimately supporting outcome‑driven enterprise data strategies.
