Identifying Unique Subjects in Multiple Data Streams
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Banks have been among the first to integrate external and internal data streams to create information out of data, which can then be used to provide knowledge necessary to solve business problems. One of the most complex data-management activities is matching the data of a unique subject in one data flow to the data of that same subject in another data flow. In the example of using credit scores to internal banking records for the purpose of evaluating risk of issuing a mortgage or a loan, it is typically the social security number that is used to match records from multiple sources.
In this discussion, respond to the following:
Discuss the pros and cons of using this particular identifier as a means to identify unique subjects of data. Consider the variety of issues related to the SSN that can create errors or that might impact the quality of this data as a unique identifier.
Propose an alternative solution that would allow data from multiple data streams to be integrated properly without using the SSN as the means by which to do that data matching.
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