We are living in an era of massive data deluge. Each day, over 402 million terabytes of new data emerge across the global digital ecosystem—a volume that continues to expand at a rapid clip. This is reshaping how enterprises operate, compete and innovate. And while data is often hailed as the "new gold," its value lies not just in its volume but in its quality, accessibility and relevance. This creates a pressing need for enterprises to manage, analyze and derive real-time value from their information.

Living in the Information Age, we often assume that data is readily available and fit for purpose. However, modern architectures are increasingly federated, with data spread across disparate platforms—cloud, on-premises and hybrid environments—making it difficult to classify, catalog and utilize effectively.

For instance, often, highly federated engineering environments lead to operational silos that fragment data, creating inefficiencies that restrict its value within the organization. Plus, as data moves across multiple platforms, incompatible governance frameworks can lead to complex integrations, which keep organizations from leveraging information for business goals.