Efficiently and accurately identify duplicate customers, retail households and corporate connections on a risk-based approach to over- and under-linking customers
In benchmarking studies, ISI’s sophisticated de-duping and linking methodologies have been shown to be more accurate than weighted-field and score-based systems like those that rely on a continuum approach such as 1 to 100. One of the key reasons is that our methodologies use unique definitions of “duplicate” and “connection” — based on our clients’ own business and processing needs — instead of definitions based on a continuum.
ISI’s superior parsing and standardization, combined with our unique matching methodology, find more high quality matches. This was illustrated by an analysis of competitors’ score-based approaches which showed a significant number of over-linked records, while within the same data, ISI found client-defined quality matches the scoring approaches had missed. In addition, our connection-identifying solution reveals a customer’s connectivity networks of both individuals and businesses, providing a robust, multi-dimensional picture of the customer not provided by other approaches.
More accurate de-duping and connection-building means better, more complete customer information. Money isn’t wasted mailing duplicate promotions to the same household or to customers that don’t need products. This helps you use your marketing spend more effectively. Network connections can also lead to better credit decisions by helping you to evaluate not only an individual’s credit-worthiness, but also the credit-worthiness of the individuals and businesses with whom that individual is connected. Better, more complete information is the foundation for better results.
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