Data linking is a valuable tool not only for identifying and consolidating duplicate records within an organization’s databases, but also for revealing records that share the same “household” or other relationship. It can be used for such purposes as enhancing the value of a database with relationship information, comparing a database against a prospect list or target mailing list, adding supplemental data to an existing database, and integrating external systems into an existing database.
i/Lytics Individual Link parses and standardizes customer records from disparate sources to determine name, address, type, and gender data elements — in spite of misspellings, variations and misplaced components. It then uses these comparison elements to identify potential duplicate records, which may be combined to improve database integrity.
This class is for anyone who is:
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A current user of i/Lytics Data Quality or Data Linking solutions who would like to enhance their skills and maximize their investment
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Interested in gaining detailed knowledge and hands-on application of i/Lytics Linking solutions
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Interested in exploring Innovative’s best practices for achieving high quality customer data
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Considering or evaluating a Data Quality or Data Linking solution
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Interested in learning more about creating and maintaining a customer-centric database
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Interested in a total solution for their Data Linking needs
What will be covered:
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General overview of Innovative’s Linking Solutions
