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Credit and Collections Decision Auto...

Institute of Management Science.

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Credit and Collections Decision Automation in AT&T Capital's Small-Ticket Business

紀錄類型:	書目-投影資料、錄影資料、電影片 : Monograph/item
正題名/作者:	Credit and Collections Decision Automation in AT&T Capital's Small-Ticket Business/ Produced by Institute of Operations Research and the Management Sciences
出版者:	Providence, RI :Institute of Operations Research and the Management Sciences :
面頁冊數:	1 computer laser optical disc :sd., col. ;4 3/4 in.
附註:	At the head of title on container: Informs/CPMS
叢書名:	Edelman award for management science achievement;
標題:	Management Science -

Credit and Collections Decision Automation in AT&T Capital's Small-Ticket Business
Credit and Collections Decision Automation in AT&T Capital's Small-Ticket Business[videorecording] /Produced by Institute of Operations Research and the Management Sciences - Providence, RI :Institute of Operations Research and the Management Sciences - 1 computer laser optical disc :sd., col. ;4 3/4 in. - Edelman award for management science achievement;[v.94].

At the head of title on container: Informs/CPMS

Presentors, George Curnow, Gary Kochman, Steven Meester, Debashish Sarkar, and Keith Wilton

The authors designed three sets of decision automation systems: front-end credit decisioning, life-cycle customer credit line management, and delinquent account collections. As a result, the vast majority of AT&T CapitalOs small-ticket business credit-granting decisions are made automatically. It is estimated that use of these systems has increased AT&T CapitalOs small-ticket business volume by

VCD format

US120.00Subjects--Topical Terms:

730897
Management Science

Credit and Collections Decision Automation in AT&T Capital's Small-Ticket Business
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245 0 0 $a Credit and Collections Decision Automation in AT&T Capital's Small-Ticket Business $h [videorecording] / $c Produced by Institute of Operations Research and the Management Sciences
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500 $a Title on cassette and cassette case: 96.03 AT&T Capital
511 0 $a Presentors, George Curnow, Gary Kochman, Steven Meester, Debashish Sarkar, and Keith Wilton
520 $a The authors designed three sets of decision automation systems: front-end credit decisioning, life-cycle customer credit line management, and delinquent account collections. As a result, the vast majority of AT&T CapitalOs small-ticket business credit-granting decisions are made automatically. It is estimated that use of these systems has increased AT&T CapitalOs small-ticket business volume by $5 6 million annually, while reducing bad debt losses by $1 .4 million and reducing decisioning cost by over $1 .3 million.
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740 0 1 $a AT&T Capital