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 ...

There is growing recognition of the importance to pension schemes of having good membership data. Poor quality data can frustrate a scheme’s business plans. It can also increase costs. Anecdotally, ...

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.

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 ...

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 ...

Transaction data on bank statements can be useless if neither the bank nor the customer can understand what they say. The banking technology provider Nymbus and Segmint, a data analytics company, are ...