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 ...

, data scientists, policy analysts) in healthcare, are often tasked with the mundane daily task of cleaning data. This can be frustrating as many went through sophisticated schooling to do more than ...

Data lays the foundation of modern B2B operations. It shapes everything starting from routine workflows to long-term strategic decisions. Yet, managing data quality remains the most persistent, yet ...

For all the talk of innovation and analytics, most business decisions still come down to trust. Can we trust what the numbers are telling us? Can we trust that our systems are secure? Can we trust the ...

High-quality data is critical for making informed decisions and improving your organization's operational processes. The relationship between quality data and insights is clear; however, poor-quality ...

Challenges with data quality and data governance have plagued healthcare analytics efforts for decades – and the stakes are only getting higher in the age of AI. Inaccurate or inconsistent data ...

Clinical data evidence submitted by manufacturers to the National Institute for Health and Care Excellence (NICE) for health technology assessments has been consistently poor, research has revealed.

More than three-quarters of business leaders say they’re under growing pressure to drive business value with data, according to a Salesforce report, but many leaders say their data is often outdated, ...

Synthetic data is generated as a replacement for real data that is considered poor quality, fragmented, siloed, sensitive or otherwise unusable for AI training in the enterprise. However, synthetic ...

PHILADELPHIA--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today released a new survey of 500 professionals working with AI ...

The coolest data observability companies of the 2026 Big Data 100 include Acceldata, Cisco/Splunk, Cribl and Grafana Labs.