BOSTON, June 17, 2025 (GLOBE NEWSWIRE) — Ataccama, the data trust company, today announced the release of a new report by Business Application Research Center (BARC), The Rising Imperative for Data Observability, which examines how enterprises are building – or struggling to build – trust into modern data systems. Based on a survey of more than 220 data and analytics leaders across North America and Europe, the report finds that while 58% of organizations have implemented or optimized data observability programs – systems that monitor detect, and resolve data quality and pipeline issues in real-time – 42% still say they do not trust the outputs of their AI/ML models.
The findings reflect a critical shift. Adoption is no longer a barrier. Most organizations have tools in place to monitor pipelines and enforce data policies. But trust in AI remains elusive. While 85% of organizations trust their BI dashboards, only 58% say the same for their AI/ML model outputs. The gap is widening as models rely increasingly on unstructured data and inputs that traditional observability tools were never designed to monitor or validate.
Observability is often introduced as a reactive, fragmented, and loosely governed monitoring layer, symptomatic of deeper issues like siloed teams or unclear ownership. 51% of respondents cite skills gaps as a primary barrier to observability maturity, followed by budget constraints and lack of cross-functional alignment. But leading teams are pushing it further, embedding observability into designing, delivering, and maintaining data across domains. These programs don’t just flag …