Data quality assessment encompasses the systematic evaluation of data to ensure its suitability for intended purposes within information systems. As organisations amass vast and heterogeneous datasets ...

This article gives a detailed introduction to data quality and the current status it has in healthcare. Data quality in healthcare can directly affect patient outcomes, physicians’ decision-making ...

n artificial intelligence (AI) is only as useful as the data used to train it. Training AI with dubious data leads to questionable decisions. An AI project should thus give a thorough airing to ...

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization’s data quality for unstructured data. Finding effective ways to use data ...

1. The Data Quality Assessment Framework (DQAF) was developed to address the Executive Board's interest in data quality as expressed during the December 1997 discussion of the Progress Report on the ...

Everyone understands data is important, but many business leaders don’t realize how impactful data quality can be on day-to-day operations. In my experience, nearly all process breakdowns have root ...

A little over a decade has passed since The Economist warned us that we would soon be drowning in data. The modern data stack has emerged as a proposed life-jacket for this data flood — spearheaded by ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

The European Medicines Agency (EMA) has finalized a document with recommendations on using the European Medicines Regulatory Network (EMRN) Data Quality Framework (DQF) when submitting premarket ...