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 ...

Did you know that 29% of companies believe that their current customer or prospect data is inaccurate in some way? Are you part of the 89% of companies who face challenges in how they manage data? Is ...

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 ...

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 ...

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.

Big data sets are full of dirty data, and these outliers, typos and missing values can produce distorted models that lead to wrong conclusions and bad decisions, be it in healthcare or finance. With ...

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 ...

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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 ...

Before the pandemic, ‘supply chain’ wasn’t exactly a household word. No one thought much about it until they couldn’t find their favorite yeast for the baking bread frenzy that ensued or toilet paper ...