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Data cleansing is an essential procedure for any organization that handles data. It involves the identification and correction of errors, inconsistencies, and inaccuracies present in the data sets.

Have you ever found yourself wrestling with messy Excel datasets, trying to clean up those pesky empty cells that throw off your calculations? It’s a small annoyance that can quickly snowball into ...

Trifacta, a startup focused on getting raw data into shape so data scientists, analysts or whomever can get started analyzing it, has raised $25 million in series C financing. Ignition Partners is a ...