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 ...

To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

PROCESS IMPROVEMENT TOOLS AND METHODS AI holds transformative potential across Army operations—from logistics and maintenance ...

The old adage of learning from your mistakes isn’t just good advice for people; it applies to healthcare organizations as well. When hospitals make mistakes in the ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data quality in the modern economy, where data-driving action is critical to business ...

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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Increasingly more corporate boards and executives understand the importance of data for ...

Every year, the PCSI Conference brings together leaders in healthcare data, case mix, and coding to share ideas and set the ...

Poor data quality costs organizations an average of $12.9 million a year. Organizations are beginning to recognize that not only does it have a direct impact on revenue over the long term, but poor ...

As a Data Quality Analyst, you'll contribute directly to Schiphol’s digital transformation - your insights will have a daily impact on passenger flows, logistics, and smart airport operations. Known ...