More than one-third (37%) of professionals report that data silos prevent efficient data sharing across teams, according to a report from Ascend2 and Collibra.
The report, “The State of Data Confidence: How organizations evolve from uncertainty to unwavering trust in their data,” found that many organizations don’t lack data — they lack trust in their data.
Businesses’ data issues are compounded by limited data visibility or discoverability, which 32% of respondents cited as a top concern. When teams can’t find the data they need—or don’t even know it exists — progress stalls and blind spots are created.
According to the report, the most confident organizations build transparency into their data pipelines. While only 46% of all professionals report high visibility into the health and reliability of their data, that number jumps to 64% among those with high data confidence. This is more than three times higher than their less-confident peers (64% vs. 20%).
More than half (53%) of respondents identified data reliability as a top challenge when building and deploying AI models. Meanwhile, as AI moves from a buzzword to a business-critical tool, the compliance stakes get even higher. Forty-five percent of professionals say ensuring compliance with growing regulations is one of their top challenges when building and deploying AI models.
The report is based on a custom online survey conducted in December 2024, which gathered responses from 458 professionals across the United States and the United Kingdom. Respondents included managers and senior-level professionals in data governance, risk, and compliance roles, all from organizations with annual revenues of $500 million or more.
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