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 ...

Brett Hansen is the CGO of Semarchy, a data software company that enables organizations to leverage their data to create business value. Companies in 2022 are implementing data-driven strategies to ...

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, ...

The hype around big data is deafening, and for valid reason. When it’s used to augment customer information, big data acts as a force multiplier, arming organizations with deep customer intelligence.

Pricing: As part of the Azure Arc-enabled SQL Server 2022 package, DQS starts at $0.100 per hour. Key features: Visit Microsoft DQS There’s an old saying that’s been used in businesses of all kinds: ...

"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 ...

There are always two aspects to data quality improvement. Data cleansing is the one-off process of tackling the errors within the database, ensuring retrospective anomalies are automatically located ...

KARMIEL, Israel, Oct. 3 – Inquera, the recognized leader in the field of product data maintenance, product data classification, product data profiling and data scrubbing today formally released Rapid ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...