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 ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

Talend, the big data integration vendor that went public last July, announced its winter release today with new tools to help automate data preparation, a sticky problem for enterprise customers.

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 ...

The next generation of cataloging nonstandard items is here. Since late 2002, the central catalog management of nonstandard, noncataloged items has been achieved through the Standard Study Number-Line ...

What is data cleaning in machine learning? Data cleaning in machine learning (ML) is an indispensable process that significantly influences the accuracy and reliability of predictive models. It ...

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This article is part of a VB special issue. Read the full series here: Building the foundation for customer data quality. Customer data has become the lifeblood of delivering connected customer ...