Hi,

I am working on a company initiative to replace an external
statistical modelling contract with the internal resources to handle
the same.  I would be very grateful for any recommendations of the
appropriate software we need to acquire for this purpose.  I'll
describe the sort of modelling we are doing:

We are trying to predict the behaviour of stores (customers), this
behaviour being binary - either they do what I'll call 'x' or they do
not.  Sampling has been done to determine which stores do and which
don't and we have database information on all these sample stores (as
well as all our other stores).  What we want to do is predict x using
all the information in our databases so as to be able to target a
reduction of x.  If we randomly select stores to speak with them we
have a 10% chance of them being a store that does x.  We'd like to
increase this percentage using a model that produces a decision tree
based on all the factors such that stores get grouped according to
type , e.g. if factor "A" >10,000 Then.......If factor "B" >35 days
then a store is in category 17 which is likely to exhibit x.  With
this sort of modelling you would need to be able to specify weightings
since there is a tradeoff between identifying every store with
behaviour x and the accuracy of prediction.

I assume we simply need some software that handle multiple regression
very capably.  But perhaps there is a more specific description of
what we are trying to do.  The external contractor we are using at the
moment is using SAS but we need something Windows-based (not Unix). 
Price is not really a factor and we will only use it for the data
analysis described.

So I have two questions really - what do you call the statistical
process I have described and what software would be recommendable to
use for it?

Appreciate any advice,

Robert
.
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