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 ...

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

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

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 ...

Citigroup is adding a second pair of hands to oversee improvements to the company's data quality management processes, which have been called out by regulators for being inadequate. Tim Ryan, who ...

In today’s data-driven world, organizations rely heavily on data to inform their decision-making processes. However, the effectiveness of these decisions hinges on the quality of the data being ...

In today's ever-evolving landscape of supply chain management, executives and leaders are facing an intricate web of challenges. To navigate these complexities, advanced analytics and AI have emerged ...

Continuous electronic monitoring with telemetry is an important hospital practice for monitoring patients who are at high risk of serious cardiac events. Unfortunately, it is often overutilized. When ...

Quality improvement (QI) programs have rapidly grown in health care over recent years. Despite increasing evidence of successful QI initiatives resulting in improved outcomes, the adoption and ...