As organizations scale their use of data and AI, the challenge is no longer only making data available—it is ensuring that available data can be used repeatedly, reliably, and at scale. Data availability remains a foundational requirement for any data-driven organization. Without timely, trusted access to data, no downstream value is possible. However, availability alone does not guarantee efficiency, speed, or sustained return on investment. Increasingly, organizations are finding that the true constraint lies in how effectively data capabilities can be reused once they exist.