Data quality management, like data governance discussed in the prior article in the series, is a core component of a successful enterprise information management strategy and should be an integral part of any medical device manufacturer’s approach to unique device identification compliance.
Lack of data quality management results in inconsistent and inaccurate data, which leads to poor decisions. Poor decisions, in turn, can lead to inefficiencies, errors, additional costs or loss of business. The inability to successfully manage data quality may also result in fines or other regulatory actions when compliance needs cannot be met within required time frames.
Register or login for access to this item and much more
All Information Management content is archived after seven days.
Community members receive:
- All recent and archived articles
- Conference offers and updates
- A full menu of enewsletter options
- Web seminars, white papers, ebooks
Already have an account? Log In
Don't have an account? Register for Free Unlimited Access