TY - JOUR
T1 - INFER
T2 - An expert system for automatic analysis of scanner data
AU - Rangaswamy, Arvind
AU - Harlam, Bari A.
AU - Lodish, Leonard M.
PY - 1991/4
Y1 - 1991/4
N2 - Scanner technology has resulted in the problem of "too much" data. Marketing managers in packaged goods companies are inundated with 100 to 1,000 times more bits of data than what they had access to even a few years back. In this paper, we report our approach and experiences in developing a prototype expert system, called infer, that helps translate large quantities of marketing data into meaningful insights for managerial actions. The system automates data interpretation by employing a knowledge base of simple data interpretation techniques often used by analysts. The system generates a summary report useful for management decision making.
AB - Scanner technology has resulted in the problem of "too much" data. Marketing managers in packaged goods companies are inundated with 100 to 1,000 times more bits of data than what they had access to even a few years back. In this paper, we report our approach and experiences in developing a prototype expert system, called infer, that helps translate large quantities of marketing data into meaningful insights for managerial actions. The system automates data interpretation by employing a knowledge base of simple data interpretation techniques often used by analysts. The system generates a summary report useful for management decision making.
UR - http://www.scopus.com/inward/record.url?scp=0040402601&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0040402601&partnerID=8YFLogxK
U2 - 10.1016/0167-8116(91)90005-R
DO - 10.1016/0167-8116(91)90005-R
M3 - Article
AN - SCOPUS:0040402601
SN - 0167-8116
VL - 8
SP - 29
EP - 40
JO - International Journal of Research in Marketing
JF - International Journal of Research in Marketing
IS - 1
ER -