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 ...

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 ...

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 ...

When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...

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 ...

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 ...

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.

Rajiv Jain is a Field CIO/CTO for the Financial Services Vertical at CDW. Financial services organizations are built around their data. They must be able to quickly access, analyze and use the data ...

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 -- ...

With AI ambitions outpacing data readiness, CIOs must renovate their data strategies to create unified, AI-ready foundations capable of supporting enterprise-wide use cases. Any organization that ...