Any type of flawed data in your IT environment is considered "dirty" data. This could mean information that is inaccurate, outdated, incomplete or inconsistent. In 2016, IBM estimated (via Harvard ...

Companies invest millions in marketing and data, aiming for precision and ROI, yet one unseen culprit sabotages much of their efforts: dirty data. Over half of companies (54%) report that their ...

In nearly every use of “data” it is better to have no data than inaccurate data. At least with no information you know you either need to get data or can make decisions based on an educated guess.

“Garbage in, garbage out.” But in today’s digitised economy, that phrase underestimates the problem. Dirty data is more than a nuisance. It’s a silent threat that can sabotage strategies, undermine ...

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 ...

With the rising costs of health care and changes brought by reform, health care organizations must find ways to reduce costs. Though the health care supply chain has evolved rapidly over the last 15 ...

In the ongoing race towards a fully digital economy, Nigerian organisations often worry about cyber threats, regulatory pressures, infrastructure failures, and the never-ending need to innovate. Yet ...