
Validation vs. Verification: What’s the Difference?
To a layperson, data verification and data validation may sound like the same thing. When you delve into the intricacies of data quality, however, these two important pieces of the puzzle are...
To a layperson, data verification and data validation may sound like the same thing. When you delve into the intricacies of data quality, however, these two important pieces of the puzzle are...
The demand for trusted data is at an all-time high. This was made resoundingly clear in the 2023 Data Integrity Trends and Insights Report, published in partnership between Precisely and Drexel...
Experts estimate that the world is generating 2.5 quintillion exabytes of data every day. That information resides in multiple systems, including legacy on-premises systems, cloud applications, and...
Businesses today are increasingly dependent on an ever-growing flood of information. Whether it is sales records, financial and accounting data, or sensitive customer information, the accuracy and...
Data quality is crucial – it assesses whether information can serve its purpose in a particular context (such as data analysis, for example). So, how do you determine the quality of a given set of...
Bad data costs time and money. The majority of companies know that bad data is an issue, yet have no solid plan in place for eliminating bad data and its effects. In fact, one study concluded that 85...
Author’s note: this article about data observability and its role in building trusted data has been adapted from an article originally published in Enterprise Management 360. Is your data ready to...
Everyone knows that data is valuable — as long as it’s of high quality. At many companies, that’s sadly not the case. There can be errors lurking in your digital information, and those errors...
New technologies are making it easier for customers to process increasingly large datasets more rapidly. And the desire to leverage those technologies for analytics, machine learning, or business...