Data quality in healthcare can directly affect patient outcomes, physicians’ decision-making abilities and more. Unfortunately, there are many examples of data quality issues running rampant in ...

Any AI processes that use traditional data sources will be just as dependent on those sources being of high quality as any other analytic processes.

Poor data quality can damage your reputation and hamper your business. Here are strategies to help you detect, correct and prevent bad data.

If your data warehouse is starting to look like Miss Havisham’s decaying mansion, you may have a data quality problem. A new survey of 500 data professionals from open source data quality tool Great ...

The data purgatory hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, and accessibility.

As the discipline of data literacy grows and evolves, three problems emerge within companies that embrace it.

A recurring theme in big data over the past two decades is the poor quality of data. No matter how much ink is spilled on the topic, organizations continually seem surprised that the data they want to ...

U.S. consumer prices increased marginally in July, though rising costs for services such as airline fares and some ...

Common data quality problems include missing data, such as addresses that lack ZIP codes, or data normalization issues, such as a U.S. state field that sometimes has the state name (New York) and ...

This is the second in a series of deep dives from AdExchanger on mobile fraud and mobile data quality, including guides to fraud tactics and threat vectors and practical solutions from advertisers in ...