This is the billion dollar blind spot: Most enterprises are solving the wrong data problem. Enterprises often assume that ...

The difference between AI success and failure often comes down to five strategic choices that leaders make about their data ...

When executives talk about cost, they usually mean capital, labor or raw materials. But there’s another line item quietly ...

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 ...

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 ...

As the vibrant hues of fall begin to appear, businesses should consider using this season as an opportunity to enhance key areas of their operations. One such critical area that can benefit from ...

Informatica Inc. is turning up the volume on its agentic artificial intelligence push with today’s announcement of a series ...

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 ...

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 ...

How to create a data integration strategy for your organization Your email has been sent Despite the global digital acceleration of data use cases, many companies still struggle to be data-driven.

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...

Data quality management efforts — tied to disrupting innovations, rapid market shifts and regulation pressures — will continue to grow in 2023 and take on a more dominant role in the data management ...