Although I have been saying for years that data quality is not all about names and addresses, I don't want people to think that name and address quality isn't a big part of the data quality process. On the contrary, any organization that needs to deal with customers is bound to have problems with the contact information for those customers. There are two growing trends that warrant a closer look at name and address quality: enterprise information integration (EII) and customer data integration (CDI).
Both of these techniques focus on building a means for consolidating information from across the enterprise in a way that reduces entity identification into a single view. The EII approach provides the means for accessing disparate data sources in place, reflecting an integrated view of data without actually moving it. Alternatively, the goal of CDI (and other master data management approaches) is to collect and aggregate entity detail (be it customer or other type of reference object) into a single repository as a single source of truth. Even though these might be "competitive" approaches, they are similar in their need for applying name and address parsing and standardization in order to provide that single view, whether it is a repository-based view or a virtual view.
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