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 ...

After years of experimentation, AI adoption is at the forefront of enterprise strategies in 2025. According to a recent market study on Enterprise Data Transformation by the Intelligent Enterprise ...

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 ...

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 ...

Accurate trustworthy data is at the foundation of any modern data initiatives. Those in pursuit of an effective data quality strategy need to think about fostering a data-driven culture with a ...

Fifty-five per cent of businesses say they are being let down by data quality technology. Joel Curry, MD of Experian Data Quality, explains how to ensure your data quality strategy works Most ...

As the “cloud wars” between Amazon, Google, and Microsoft rage on, Chief Data Officers (CDOs) face their own battle: ensuring data quality while embracing cloud migration. The cloud unlocks ...

Business leaders recognize that strong foundations are essential for any company exploiting artificial intelligence (AI). Your business could jeopardize the whole project if it doesn't sort its data ...

Data quality refers to the accuracy, completeness and consistency of the information in an enterprise database. Discover the top 10 benefits of having data quality in your organization. Image: ...

Data quality is important—no doubt about it. But like any new data practice, developing a scalable data quality strategy doesn’t happen overnight. And what you need today may not be what you need ...