Data is a vital asset for modern organizations, providing insights that drive strategic decision making. And the amount of data created, consumed and stored is only increasing. Without proper ...

Mobile-first shopping behaviors mean it's up to retailers to provide a mobile experience that goes beyond the typical ...

Starbucks is focused on applying data and AI to enable strategic decision-making through customer-centric, data-driven ...

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 ...

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 ...

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 ...

C-level executives should also ensure their AI strategies and business goals are well-aligned. Whether the objective is to ...

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 ...

At the same time, close to half of data managers, 47%, said they either don’t have an active data quality strategy or aren’t aware of one. This suggests that strong data strategies are not as ...

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.

The gap between businesses' AI strategies and execution arises from the difficulty in effectively harnessing data, such that reliable, trustworthy data support more effective business decisions and ...