Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

When ransomware strikes, IT leaders face a deceptively simple question: How confident are you that you have clean data for recovery?

In this video, we explore the new Clean Data button in Excel, which utilizes AI to automate data cleaning. We examine its ...

Paul Fakley, executive director of engagement at British Safety Council, is currently working on overhauling the company’s data and processes. With five verticals and around 950 products, the ...

There is growing recognition of the importance to pension schemes of having good membership data. Poor quality data can frustrate a scheme’s business plans. It can also increase costs. Anecdotally, ...

Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data. Image: freshidea/Adobe Stock Data is at the foundation of ...

"Dirty data"—data that has issues such as being incorrect or incomplete—can slow down operations, waste resources, and drive bad decisions. The solution to the problem is data cleansing, which is the ...

Data cleaning is a critical step in the data processing cycle that can significantly impact the quality of data-driven initiatives. It’s not just about removing errors and inconsistencies; it is also ...

Following hot on the heels of the Covid pandemic, the current cost-of-living crisis is putting increasing pressure on customers and their ability to balance competing financial demands. The StepChange ...

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 ...