Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

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 ...

AI investments are being built on flawed data as business leaders struggle to make quality a priority. 81% of AI professionals say their company still has significant data quality issues, yet 85% ...

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pressure to drive business value with data, according to a Salesforce report, but many leaders say their data is often outdated, ...

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 ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

Poor Simulation Data Is Sabotaging Digital Twin Innovation: How to Fix It Your email has been sent The costs of poor data quality in digital twin development What strong data foundations look like ...

It has been estimated by MITSloan that the cumulative cost of inaccurate data is 15 to 25 per cent of revenue for most organisations. This is because poor quality data wastes resources, undermines ...

“Poor software quality costs $150+ billion per year in the US and over $500 billion worldwide” according to Capers Jones. Of those software quality issues, many come from poor test data quality.