Chris Hayhurst is a freelance writer who covers education technology and healthcare, among other topics. He's a regular contributor to the CDW family of technology magazines As more colleges and ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data quality in the modern economy, where data-driving action is critical to business ...

Data quality is a bottom-line issue that today’s organizations must address – healthy contact data boosts the bottom line, and helps departments across the board achieve strategic goals. So how well ...

Enhance your data strategy with effective data quality and data governance practices. Learn their differences and how to integrate the strategies successfully. Image: Dmitry/Adobe Stock Data quality ...

When generative artificial intelligence (genAI) burst into prominence with the release of ChatGPT in 2022, technically savvy business users quickly began experimenting. At that time, existing tools ...

When Anomalo’s co-founders left Instacart in 2018, they thought they could put machine learning to work to solve data-quality problems inherent in large datasets. Five years later, the company’s idea ...

Most managers know, anecdotally at least, that poor quality data is troublesome. Bad data wastes time, increases costs, weakens decision making, angers customers, and makes it more difficult to ...