Preventing data quality issues in a sustainable way and not being forced to launch data cleansing activities over and again will, for most organizations, mean that a master data management (MDM) framework must be in place. MDM and Data Quality Management (DQM) are tightly coupled disciplines. ...
We’ll get into some of the consequences of poor-quality data in a moment. However, let’s make sure not to get caught in the “quality trap,” because the goal of DQM isnotto create subjective notions of what “high-quality” data is. No, its goal is to increase return on investme...
To facilitate the development of any guidance in the future, a clear understanding of the purpose of monitoring is essential. This paper describes the process whereby the MRC-NIHR TMRP DQM extracted the purpose of monitoring, as described by pertinent sources, and from them defined the purpose ...
To facilitate the development of any guidance in the future, a clear understanding of the pur- pose of monitoring is essential. This paper describes the process whereby the MRC- NIHR TMRP DQM extracted the purpose of monitoring, as described by pertinent sources, and from them defined the ...