Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, ...

Electronic health record (EHR)–based real-world data (RWD) are integral to oncology research, and understanding fitness for use is critical for data users. Complexity of data sources and curation ...

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 ...

Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Here are common causes of bad data quality: Multiple data sources: ...

Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights. Measuring quality of any kind ...

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 British government has launched a framework for data quality management, which uses principles and approaches to help people better manage data quality. This week the British government has ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...