Excel's text functions, such as TRIM, UPPER, LOWER, and PROPER, can be used to clean up textual data. TRIM removes extra ...

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 ...

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 ...

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 ...

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 ...

Data mining is a process that turns large volumes of raw data into actionable intelligence, and it's used by a wide variety ...

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.

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 ...

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.