Abstract
It is necessary to identify the master data object types and determine the data assets that make up those object types across the enterprise. This chapter discusses the process of identifying and finding the data sets that are candidates as sources for master data and how to qualify them in terms of usability. This chapter considers the challenge of master data discovery, which depends on the effective collection of metadata from the many application data sets that are subject to inclusion in the master data repository. This depends on a process for analyzing enterprise metadata—assessing the similarity of syntax, structure, and semantics as a prelude to identifying enterprise sources of master data. Because the objective in identifying and consolidating master data representations requires empirical analysis and similarity assessment as part of the resolution process, it is reasonable to expect that tools will help in the process. The same kinds of tools and techniques that will subsequently be used to facilitate data integration can also be employed to isolate and catalog organizational master data.
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