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I´ m working at a database marketing department with more than 25
colleagues. More than 70% are statisticians, the remaining (including me)
have a data mining or computer science based background. Working together I
found the following varieties:  wording, theory versus real application,
quality versus quantity. Sometimes these lead to bias between the groups
appearing as anti-statistical or anti-data-mining attitudes. We harmonised
our terminology and accepted that depending on the situation we need
different ways to deal with a problem. Learning from each other including
things like sampling, building robust models, implementation of scorings in
a near real time environment of a data warehouse process, etc. allow us to
employ successfully more than 200 scorings on 11 million customer for
one-to-one marketing :).

My conclusion: Both groups should learn from each other!

Regards
________________________________________
Adelfried Türling, Otto Versand, KG-KV-DW
Head of CRM, Data Warehouse & Data Mining
Wandsbeker Str. 3-7, 22172 Hamburg
Tel:  +49 40 6461 8790, Fax: +49 40 6464 8790
E-mail: adelfried.tuerling@otto.de