A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...

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 ...

A recent survey found that 23% of UK organisations still use manual processes to manage customer and prospect data, and 42% use Excel spreadsheets to detect data quality issues. These were among the ...

Artificial intelligence is no longer just a buzzword; it's a transformative force reshaping industries, from healthcare to finance to retail. However, behind every successful AI system lies an ...

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 ...

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 ...

In today's data-driven business world, ensuring the accuracy, consistency, and reliability of data is crucial for making informed decisions and driving growth. Latest research from Experian found the ...

In the realm of data science, the ability to effectively analyze datasets is a crucial skill. Whether you’re a seasoned professional or just starting your journey, understanding the intricacies of ...

Everyone wants to tap into the power of generative artificial intelligence (AI) and large language models, but there's a rub. Getting AI to meet its sky-high expectations takes viable, quality data -- ...