Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...

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 starts at the point of entry. Inaccurately entered data affects quality and will result in the expense of cleansing later on. So ensure your data is entered correctly at the beginning.

I’m sorry, you've heard this 100 times, but you’ve got to get your data right,” The Vitamin Shoppe’s Andrew Laudato said at ...

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 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 ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

PHILADELPHIA, April 9, 2024 /PRNewswire/ -- Perspecta, the leading provider of provider directories and provider data management for workers' compensation, government, and healthcare, today announced ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...

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 ...