Data silos directly impact operational efficiency: 40% of professionals still lack confidence in their data — largely because they can’t trust what they can’t see. Data lives in too many places — and worse, by too many rules. Different systems. Different definitions. Different owners. This creates redundant work, misaligned insights and missed opportunities. 37% of professionals say data silos are actively preventing efficient sharing across teams and 35% report a lack of alignment across departments, compounding the fragmentation problem
Poor data quality is the most urgent challenge to fix: Bad data doesn’t just slow you down — it compromises everything. Failed audits. Flawed AI. Customer churn. That’s why 62% of professionals say data quality is the top area needing improvement. It’s the most urgent problem to solve — and the most foundational
AI initiatives are stalling under unreliable data: AI is no longer experimental — it’s operational. But most models are built on shaky ground: 53% of professionals say data reliability is a top challenge in AI and only 45% feel confident in the data used to prevent hallucinations
Compliance is evolving from burden to business edge: Compliance used to be a checkbox. Today, it’s a competitive differentiator. But it’s also getting harder: 88% of governance professionals say expanding regulations have made compliance more difficult, not easier
