The new initiative aims to improve EMS data quality, reporting and use, with a focus on helping rural Florida agencies ...

To help leaders address these challenges, the global IT research and advisory firm has recently published Data Priorities 2026. The report provides CIOs and CDOs with a structured view of the most ...

Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...

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 ...

Several factors, like consistency, accuracy, and validity, contribute to data quality. When left unchecked, businesses that utilize inconsistent, inaccurate, or invalidated data can lead to poor ...

On a recent executive outreach call, a leader from a large enterprise shared how their 120,000 users were actively involved in improving data quality across the organization. Intrigued, I reviewed ...

CARMEL, Ind. & ROCKY HILL, Conn.--(BUSINESS WIRE)--Connie, Connecticut’s state-designated Health Information Exchange (HIE), is implementing Clinical Architecture’s PIQXL Gateway to help healthcare ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Marketers suffer from a variety of negative consequences stemming from poor-quality data that collectively drains marketing resources and limits effectiveness. Wasted media spend is the most ...