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With small organizations, there usually isn't an issue keeping just a few systems up to date. The process of keeping data up to date between disparate systems is called Data Integration or DI.
As organizations bring more and more systems online, their business data is duplicated even further and the problem of keeping all of the systems up to date becomes problematic. For example, imagine a delivery service that stores information about its customers in several systems:
As information about their customers change, the difficulty of keeping all the systems up to date becomes exponentially more difficult as the number of systems increases.
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In Master Data Management, the set of fields or properties that define a set of data (e.g. Customer) is called a data domain.
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