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Data sits at the center of nearly every strategic conversation happening inside large enterprises today. Growth, efficiency, resilience, customer experience, and innovation increasingly depend on how well data is collected, governed, and used. Yet for many organizations, data remains fragmented across legacy systems, cloud platforms, and disconnected teams, limiting its ability to support analytics and AI at scale. As organizations look ahead to 2026, expectations around data

Data has become one of the most valuable resources in the modern enterprise, yet for many organizations, it's also the most underutilized. Between disconnected systems, ungoverned silos, and legacy infrastructure, most companies face what can only be described as data chaos. The symptoms are familiar: inconsistent reporting, delayed insights, underperforming AI initiatives, and frustrated decision-makers. The root cause? A fragmented approach to data management. Building a un

Enterprises today are sitting on enormous volumes of data, but few have the structures in place to keep that data both usable and secure....

Decision-makers in large enterprises know all too well the challenge of investing in analytics while struggling to see measurable...

When data initiatives stall, it’s rarely a technology problem. It’s a strategy problem. For enterprise leaders under pressure to deliver...