Find the active variables in a database and build a dynamic DPMC © modeling to act with the maximum impact ...
Find the needle in haystack ...
DPMC Method
DPMC methods are based on the crossing of "scanning" methods allowing to eliminate inactive variables and/or covariates and/or unstable, and iterative methods.... Generaly, the bases we analyze are "customers" and "prospects" bases, or "sales slip". We can also create "Mega Bases" by merging several bases (for example, in retail: bases internal turnover by POS and external databases: competition pressure, household consumption, etc. )
"Mega Bases" analysis
A POS vocation survey requires the merging of the following bases: tickets (sales slip), structural base (physical characteristics of points of sale), DPMC catchment base, "competition pressure", socio-demographic data base.
Example of link between the number of references of an end of aisle display and the turnover :
In this specific case
(product/circuit of retail)
the more the number of
references increases the
more the total turnover
declines ...
DPMC owners bases
We created a database concerning the evaluation of the potential of catchment areas and flow in number of households, concerning 5 325 sites in shopping centers and center Towns in France.
Example of potential data base :
Sale slip analysis
- Research of natural complements and marketing of consumers spendings.
- Merchandising analysis
- Modeling of points of sale.
"Mega bases" Analysis (merger of several databases by DPMC)
- POS vocation surveys
- Optimization of resources according to potential
- Location Survey and evaluation of of turnover potential
Analysis of "customers" and "prospects" bases
- Searching short term turnover pool
- Optimization of "customers" and "prospects" offers
- Behavioral segmentations
Understanding and Action
Marketing and Management Survey
Marketing survey - Employee survey - Behavior analysis - "Shoppers" survey - Data base analysis - Catchment area survey - DPMC ® Dynamic model
® DPMC - 2009