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Born from a 2017 thread regarding who was traveling the farthest for SAS® Global Forum in Orlando, our odyssey began with becoming acquainted with the ZIPCITYDISTANCE function. Calculating distance with SAS® was not new to us, but this function was. Previously we had been calculating distance with the zipcode centroid method from code we found on the web! At SAS Global Forum, we learned of the GEODIST function. We soon found that by using this new calculation, we could determine our closest customers with greater accuracy. Now we wouldnt mistakenly send offers to people who might be farther away. Next, we wanted to know whether we could calculate the distance to their closest Sleep Number store for over 15 million people who have purchased or considered the purchase of a Sleep Number bed. We determined that the increased precision of GEODIST could replace certain processes but would entail performing 8.8 billion calculations daily (never an issue for SAS). Through this change, we saw customers closest store accuracy improve by over 35%, and we are measuring customer purchase tendencies from these changes. <br/><br/>Aaron Carlson, Sleep Number Corporation
Session 2756
en
jeff.foxx@sas.com
Born from a 2017 thread regarding who was traveling the farthest for SAS® Global Forum in Orlando, our odyssey began with becoming acquainted with the ZIPCITYDISTANCE function. Calculating distance with SAS® was not new to us, but this function was. Previously we had been calculating distance with the zipcode centroid method from code we found on the web! At SAS Global Forum, we learned of the GEODIST function. We soon found that by using this new calculation, we could determine our closest customers with greater accuracy. Now we wouldnt mistakenly send offers to people who might be farther away. Next, we wanted to know whether we could calculate the distance to their closest Sleep Number store for over 15 million people who have purchased or considered the purchase of a Sleep Number bed. We determined that the increased precision of GEODIST could replace certain processes but would entail performing 8.8 billion calculations daily (never an issue for SAS). Through this change, we saw customers closest store accuracy improve by over 35%, and we are measuring customer purchase tendencies from these changes. <br/><br/>Aaron Carlson, Sleep Number Corporation
Microsoft® Word 2013
2018-03-20T21:50:43.000-06:00
2018-03-20T21:50:43.000-06:00
2018-04-03T15:47:08.106-04:00
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2018-04-03T15:47:08.235-04:00
Aaron Carlson
From Idea to Implementation: How a SAS® Communities Thread Changed How Sleep Number Direct Markets
thirdparty
Microsoft® Word 2013
support:sgf-papers
year:2018
software:BASE
support:sgf-papers/session-type/e-poster
support:sgf-papers/topic/programming/general-programming
support:customer-roles/analyst
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