Carriers aspiring to become more data-informed are experiencing an increasing need to trust their data. The significance of high-quality, mastered data is at an all-time high since it serves as the ...

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 ...

Data quality named the top priority for improving marketing performance, according to Adverity’s survey of CMOs across the US, UK, Germany, Austria, and Switzerland LONDON--(BUSINESS WIRE)--Adverity, ...

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.

As the “cloud wars” between Amazon, Google, and Microsoft rage on, Chief Data Officers (CDOs) face their own battle: ensuring data quality while embracing cloud migration. The cloud unlocks ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Atropos Health today announced the availability of Data Quality ScoreCards to members of the Atropos Evidence™ Network, the largest federated healthcare data ...

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 ...

This article is part of a VB special issue. Read the full series here: Building the foundation for customer data quality. Customer data has become the lifeblood of delivering connected customer ...

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 ...

Data science and machine learning teams face a hidden productivity killer: annotation errors. Recent research from Apple analyzing production machine learning (ML ...