At the very core of decision-making and business performance, lies data quality. When a company’s fundamental data is unreliable, of poor quality or just plain incorrect, even the best technologies ...

BURLINGTON, Mass.--(BUSINESS WIRE)--Precisely, the global leader in data integrity, today released new findings from a global survey of over 450 data and analytics professionals conducted in ...

According to Gartner, “Poor data quality destroys business value. Recent research shows organizations estimate the average cost of poor data quality at $10.8 million per year.” 1 To thrive in today’s ...

Increasingly more corporate boards and executives understand the importance of data for improved business performance. However, the majority of the data in enterprises is of poor quality. According to ...

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.

It’s undoubtable that the adoption of cloud architectures has redefined the landscape of data and analytics. With an innumerable amount of technologies and solutions on the market today, knowing how ...

Strong data quality checks reduce bias, drift and inconsistencies that can distort analytics and AI outcomes before datasets reach production.

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 ...

Here are 15 data management and data analytics companies, part of the inaugural CRN AI 100, that are playing an outsized role in AI today. AI needs data–lots of it–to work. Otherwise, the old adage of ...

AI’s true promise is turning clinical development from a bottleneck into a throughput engine for human health. Drug discovery ...