It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

Quest Software Inc., the former Dell Technologies Inc. business unit that’s focused on enterprise data management and security, today announced a major update to its popular erwin Data Intelligence ...

An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...

The European Medicines Agency (EMA) on Monday published a data quality (DQ) framework intended to put stakeholders on the same page regarding data quality, as data has become more critical to ...

Nahla Davies examines what constitutes an appropriate data integrity framework, and how inadequate frameworks damage data quality. If you asked most companies whether they have a data integrity ...

In response both to the growth of data privacy regulations and to an increasing desire to leverage data for business insights, effective data governance tools are a must-have for organizations across ...

Survey work is a series of complex processes. At the outset, there is sample and questionnaire design, as well as field training. During the data collection stage, there is monitoring and remedial ...