A recent survey by consultancy Neudata found that a third of data buyers believe data quality has gone down in recent years.

ETSI has published 18 metrics for measuring data quality in AI systems, and testing on real datasets found both privacy risks ...

Data governance without robust data quality is essentially bureaucracy disguised as governance. And for those handling data ...

Everyone understands data is important, but many business leaders don’t realize how impactful data quality can be on day-to-day operations. In my experience, nearly all process breakdowns have root ...

Validity finds marketers are accelerating AI adoption despite weak CRM data, increasing risks tied to revenue loss, ...

In the modern enterprise, data isn’t just a byproduct of systems—it’s the lifeblood of decisions, automation and innovation. Yet, as organizations accelerate their data ambitions, one truth becomes ...

Data quality has always been an afterthought. Teams spend months instrumenting a feature, building pipelines, and standing up dashboards, and only when a stakeholder flags a suspicious number does ...

Data quality is a top priority for financial firms and it has only grown in importance because of regulation and the need for better operational efficiency. Data quality is hard to measure in the ...

Data is used extensively in a variety of use cases falling under the core mandates of financial regulators and supervisors, namely, financial stability, orderly markets, and market integrity.