DQMATCH Procedure

Example 2: Matching Values Using Mixed Sensitivity Levels

The following example is similar to Generate Composite Match Codes in that it displays match codes and clusters for a simple data set. This example differs in that the CRITERIA statement for the ADDRESS variable uses a sensitivity of 50. The CRITERIA statement for the NAME variable uses the same default sensitivity of 85.
The use of mixed sensitivities enables you to tailor your clusters for maximum accuracy. In this case, clustering accuracy is increased when the sensitivity level of a less important variable is decreased.
This example primarily shows how to identify possible duplicate customers based on their names. To minimize false duplicates, minimal sensitivity is applied to the addresses.
/* Create the input data set. */
data cust_db;
   length customer $ 22;
   length address $ 31;
   input customer $char22. address $char31.;

Bob Beckett             392 S. Main St. PO Box 2270
Robert E. Beckett       392 S. Main St. PO Box 2270
Rob Beckett             392 S. Main St. PO Box 2270
Paul Becker             392 N. Main St. PO Box 7720
Bobby Becket            392 Main St.
Mr. Robert J. Beckeit   P. O. Box 2270 392 S. Main St.
Mr. Robert E Beckett    392 South Main Street #2270
Mr. Raul Becker         392 North Main St.

/* Run the DQMATCH procedure. */
proc dqmatch data=cust_db out=out_db2 matchcode=match_cd
cluster=clustergrp locale='ENUSA';
   criteria matchdef='Name' var=customer;
   criteria matchdef='Address' var=address sensitivity=50;

/* Print the results. */
proc print data=out_db2;
PROC Print Output
PROC Print Output for Mixed Sensitivity Example


The output data set, OUT_DB2, includes the new variables MATCH_CD and CLUSTERGRP. The MATCH_CD variable contains the match code that represents both the customer name and address. Because the default argument DELIMITER was used, the resulting match code contains two match code components (one from each CRITERIA statement) that are separated by an exclamation point.
The CLUSTERGRP variable contains values that indicate that six of the character values are grouped in a single cluster and that the other two are not part of any cluster. The clustering is based on the values of the MATCH_CD variable.
This result is different than in Generate Composite Match Codes, where only five values were clustered based on NAME and ADDRESS. This difference is caused by the lower sensitivity setting for the ADDRESS criteria in the current example. This makes the matching less sensitive to variations in the address field. Therefore, the value Bobby Becket has now been included in Cluster 1.392 Main St. is considered a match with 392 S. Main St. PO Box 2270 and the other variations, this was not true at a sensitivity of 85.
Note: This example is available in the SAS Sample Library under the name DQMCMIXD.