Harmonization can improve the quality of data in electronic health records, which ultimately can boost use for secondary purposes, according to research published this month in eGEMs (Generating ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Data quality is a top priority for financial firms and it has only grown in importance because of regulation and the need for better operational efficiency. Data quality is hard to measure in the ...

'Big data' and the impact of analytics on large quantities of data is a persistent meme in today's Information Technology market. One of the big questions looming in IT departments about big data is ...

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 ...

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 ...

What does a data quality manager do? Your email has been sent A data quality manager is responsible for assessing, managing and maintaining data quality across an organization. This can include ...