Haven't I Seen You Before? An Application of DATA Step HASH for Efficient Complex Event Associations

نویسنده

  • John Schmitz
چکیده

Data processing can sometimes require complex logic to match and rank record associations across events. This paper presents an efficient solution to generating these complex associations using the DATA step and data hash objects. The solution applies to multiple business needs including subsequent purchases, repayment of loan advance, or hospital readmits. The logic demonstrates how to construct a hash process to identify a qualifying initial event and append linking information with various rank and analysis factors, through the example of a specific use case of the process.

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تاریخ انتشار 2017