March 2, 2026) - digna has published its latest platform update, continuing the development of its data quality and observability platform, and reinforcing its architectural focus on adaptive anomaly ...
Clinical data management is entering a new phase as AI automates EDC build, shortens timelines, and enables data teams to focus on quality.
Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...
Data quality in healthcare can directly affect patient outcomes, physicians’ decision-making abilities and more. Unfortunately, there are many examples of data quality issues running rampant in ...
Data quality initiatives are not widespread enough to enable consistent quality, and the discovery of issues is often through informal processes. The greatest risk factors to data quality come from ...
Patient experience monitoring specialist Press Ganey has expanded its collaboration with Epic, focusing on nursing-related safety outcomes, integrating its National Database of Nursing Quality ...
Kathleen Hurley is the founder of Sage Inc., a tech company that offers SMB businesses infrastructure solutions and next-gen technology. As data becomes everything to everybody, it’s crucial to ...
In the eyes of many, data -- clean, clear and accurate data -- rules the universe. When data suffers from poor quality, however, both the business and its customers can suffer. And even when data is ...
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 ...
Tools that clean or correct data by getting rid of typos, formatting errors, and unnecessary and expendable data are known as data quality tools. These tools help organizations implement rules, ...
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