As data and AI applications continue to scale across organizations, the challenge is no longer just about making data available—it’s about ensuring that data can be reused repeatedly, reliably, and at scale. Data availability remains a fundamental requirement for any data-driven organization. Without timely and trustworthy access to data, no downstream value can be realized.

However, availability alone does not guarantee efficiency, speed, or a sustainable return on investment. Increasingly, organizations are recognizing that the real constraint lies in how effectively existing data capabilities can be reused.