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, ...

Organizations today face many challenges when optimizing their Maintenance, Repair and Operations (MRO) data with their current technology stack, which may include a mix of ERP software and supply ...

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 ...

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 ...

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 ...

"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 ...

ZoomInfo, a go-to-market (GTM) software provider, acquired RingLead, a data quality management platform, to enable companies to streamline and execute GTM motions at scale based on high-quality, ...

Kathleen Hurley is the founder of Sage Inc., a tech company that offers SMB businesses infrastructure solutions and next-gen technology. As data becomes everything to everybody, it’s crucial to ...

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 ...