Content-Aware Master Data Management

Master data management (MDM) provides a means to link data from various structured data sources and to generate a consolidated master record for entities such as customers or products. However, a large amount of valuable information about entities exists as unstructured content in documents. In this paper, we show how MDM can be made aware of information from unstructured content by automatically extracting valuable information from documents. We demonstrate for an example application that it is possible to make MDM content-aware without compromising MDM’s premise to be the one trusted source for all entity-related information.