Henrik Liliendahl Sørensen
As if Master Data Management (MDM) as we know it today isn’t hard enough, we may have new challenges (and opportunities) ahead related to the drastic growing of social networks and the appetite among organizations for digging into big data.
In traditional MDM we aim to optimize the identification and descriptions of the who, what and where in traditional systems of record. Basically we handle our own products, our present suppliers, our current customers and known prospects and the related locations. When moving on to Social MDM we aim to link those entities to the who, what and where in systems of engagement so we may better handle descriptions of our own products, collaborate with suppliers and follow our customers and known prospects footprint in the digital world. (more…)
Data matching is a core element in many deployments of data quality tools and master data management solutions.
Most data matching implementations are revolving around matching names and addresses. The classic business goals for a data matching activity are removing duplicates and thus avoiding sending the same material twice or even more times to the same real world individual either as a private person or a business contact. (more…)