Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

Hospitals don’t suffer from a lack of data; they suffer when data can’t be translated into timely, accountable action. Clinical, registry, and operational information often sits in different systems ...

The Reserve Bank of India's Supervisory Data Quality Index for scheduled commercial banks has improved to 90.7 in September ...

Guest post by Warren Strauss, director of the Advanced Analytics and Health Research Resource Group at Battelle, a private nonprofit applied science and technology development company From required ...

(HealthDay News) — Electronic health records (EHRs) are a valuable source of data that can be mined to help practices with quality improvement performance, according to a study published in Medical ...

A new study commissioned by Trifacta is shining the light on the costs of poor data quality, particularly for organizations implementing AI initiatives. The study found that dirty and disorganized ...

The Perfect Depression Care initiative serves as an example of how suicide prevention programs can collect real-time mortality data internally to drive rapid quality improvement. Perfect Depression ...