by Angela Guess
In a recent article Lawrence Dubov explained the differences and similarities between master data management and data governance. Dubov writes, “Both MDM and data governance developed from similar needs. Specifically, enterprise demands to establish better control over continuously growing volumes of enterprise data (especially core enterprise data also known as master data) drove the growth of both data governance and MDM at the beginning of the 21st century. Both terms were adopted by the market in 2003-2004, resulting in the formation of multiple MDM and data governance groups, organizations and institutions. Consulting companies started aggressively forming MDM and data governance practices.”
He continues, “Even though foundationally both disciplines serve the same goal, they grew somewhat independently. MDM created advanced technology constructs and, most notably, MDM data hubs. Data governance (information governance) practices and frameworks have been developed in a variety of focus areas, including data quality, data protection, data visibility and security, data archival, data definitions, content management, data warehousing, metadata management, etc – but not MDM.”
Dubov adds, “Interestingly enough, most established data governance methodologies are relatively light on standards, good practices and techniques recently developed by MDM. Data governance methodologies and practices often failed to meet requirements of MDM practitioners. With that background, I’ve made 8 predictions for 2012 and beyond.”
Read Dubov’s predictions here.
photo credit: bjornmeansbear
