You wouldn’t build a house without a concrete foundation. So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data...
ATF3 is rapidly and transiently induced during SC early activationTo explore the transcriptional regulatory events governing the SC quiescence-to-activation transition, we re-analyzed our previously...
Data Quality (DQ) describes the degree of business and consumer confidence in data’s usefulness based on agreed-upon business requirements. These expectations evolve based...
Data catalogs and Data Governance work together and intersect in some very useful ways. Data catalogs communicate information about an organization’s data assets,...
Having Data Quality problems is a common – and costly – issue. According to Gartner, poor-quality data costs organizations an average of $12.9 million...
Data Quality dimensions are useful concepts for improving the quality of data assets. Although Data Quality dimensions have been promoted for many years, descriptions of how to actually use them have often been somewhat vague. Data that is considered to be of high quality is consistent and unambiguous. Poor Data Quality results in inconsistent and […]
