by Angela Guess
A new article says of master data management, “I’ve never before seen a successfully deployed technology that has given so many companies a multitude of derived value. Once you’ve deployed master data management (MDM) to solve a data quality, data governance, syndicated data or data integration issue, you are largely on your way toward solving challenges in other problem areas. Now I am finally starting to see some pioneer MDM implementations explore the full range of benefits. The advantages of MDM can be staggering, yet the initial MDM implementation usually involves solving simple issues.”
It continues, “Data quality is perhaps the most frequently cited reason for deploying an MDM solution. This makes sense because MDM is associated with providing higher data quality throughout an organization’s systems. Data quality must be pervasive, and it also has to include deployment of the data integration component of data quality. Yet, if data quality is the issue, it will be the focus of the implementation. Data quality can be defined as a lack of intolerable defects. There is a finite set of possibilities, which consist of defining data quality defects and categorizing all data quality rules. The rules generated in this step are the rules that you wish your data to conform to, and they are applied wherever important data resides.”
photo credit: Images_of_Money
