The integrity and reliability of U.S. economic data have come under increased scrutiny following a series of recent policy ...

The Perinatal Quality Oversight Model (PQOM) has been developed in response to the need to proactively identify trusts that require support before serious issues arise. It provides consistent and ...

Current centralized databases fail to provide the transparency and auditability demanded in the era of Industry 4.0. By ...

Reimagining Enterprise Data for the AI EraCAMPBELL, Calif., Aug. 27, 2025 (GLOBE NEWSWIRE) -- Acceldata, a leader in data observability and agentic data management, today announced the General ...

Data Governance Goals The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data ...

Food safety and quality management systems are a necessity for getting audits together for unannounced food safety ...

In an era where financial crimes grow increasingly sophisticated and regulatory scrutiny intensifies, financial institutions ...

Agencies should start with strategy — not spreadsheets — to build a strong data foundation. For too long, governance boards ...

A quiet change driven by AI models is enabling asset-intensive manufacturing teams to access the right information and drive ...

The goal of data governance is to ensure your organization’s data is business-ready: high-quality, accessible, secure, and ...

Catherine Iger, VP at Experient, helps global brands harness AI with clarity and practicality to drive measurable impact.