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 ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

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 ...

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 ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

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.

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 ...