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 ...

Good data helps make smart decisions, while bad data can lead to mistakes and losses. That’s why data cleansing is so important. Data cleansing means fixing or removing incorrect, incomplete, or ...

Navigating the world of data management can often feel like a daunting task, especially when faced with messy datasets that seem to defy order. If you’ve ever spent hours manually cleaning data in ...

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.

All CRM contact records are not created equal. By segmenting contact data into manageable pieces, your data cleaning process will be more manageable, and you can better measure progress. Have you ever ...

Have you ever stared at a chaotic spreadsheet, wondering how to make sense of the jumble of numbers, text, and inconsistent formatting? You’re not alone. Messy data is a universal frustration, whether ...

You just updated your LinkedIn profile with the sexiest job of the 21st Century, according to Harvard Business Review. That’s right: you’re a data scientist. You’re pulling down a six-figure salary.

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 ...

"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 ...