Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

Minor data corruptions can be even more dangerous and costly than a data breach or attack because they often go undetected for long periods. Data corruption is usually caused by incorrect, outdated or ...

It’s no surprise to anyone who works with data—it’s messy. In every industry and every business, there are data anomalies and issues that can impact the story data tells. If we have any hope of ...

There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

So many retail challenges hinge on unreliable product data. Can agentic AI clean up that data enough to make a difference? Can it do the same for other verticals? Every vertical has its own unique ...

Google Analytics 4 users worldwide report data discrepancies, with traffic reports showing only half of actual visitors. GA4 is underreporting website traffic, according to multiple support threads.

Headlines alternate between massive AI investments and reports of failed deployments. The pattern is consistent across industries: seemingly promising AI projects that work well in testing ...

LONDON, March 21 (Reuters) - Britain's statistics office, already under fire for its unreliable labour market data, paused publication of industrial inflation figures on Friday, raising further ...