More than one-third of professionals face challenges due to data silos, which impede efficient data sharing across teams. Limited data visibility is a primary concern for 32% of surveyed professionals, leading to stalled progress and blind spots. Only 46% have high visibility into data reliability, a key factor for organizational confidence, compared to 64% among confident organizations. Furthermore, data reliability poses challenges for more than half of respondents when building AI models, with 45% citing compliance with regulations as a critical concern in AI deployment.
Over one-third (37%) of professionals report that data silos prevent efficient data sharing across teams, highlighting a significant barrier to effective collaboration.
Businesses' data issues are compounded by limited visibility, with 32% of respondents citing difficulty finding necessary data as a top concern that stalls progress.
Only 46% of all professionals report high visibility into their data health, increasing to 64% among organizations with high data confidence, illustrating the importance of transparency.
Data reliability poses a challenge for over half (53%) of respondents involved in AI, while compliance with evolving regulations presents a significant challenge for 45%.
Collection
[
|
...
]