Data Mining

Directing your communications impact through systematic prediction

We have been applying a variety of data mining methods for more than 10 years in order to develop models for predicting customer behaviour.

The tried and tested processes ensure that you will only communicate with the most promising customers with the expectation that they will provide a positive return on investment

Our approach to data mining generally uses internal customer information for the prediction of customer behaviour. Simple transaction data such as invoices, orders, product usage profiles are modelled into usable, marketing-relevant information. In the data mining process, several hundred variables are created and then evaluated through our Data Mining Workbench.

Our data mining models optimise the entire CRM process – from acquisition to cross- and up-selling:

Turnover prediction – for optimisation of communications activities and field sales force management
Affinity models – for the focussed application of cross-selling measures
Fraud prediction – for identification of fraud cases and payment risks
Customer profile – for efficient customer acquisition
Churn prediction – for efficient management of customer retention and reactivation measures
Customer value – for the holistic prediction of expected margins per product line

The Customer Profile Method is a special form of our data mining for the prediction of business customer potentials. This form is able to identify potentially receptive customers from other segments, who can then be addressed through acquisition programmes.

So far, Dastani Consulting's data mining specialists have developed more than 1,000 prediction models resulting in well over 500 million communications impulses. The level of selective accuracy achieved by the models has been extremely successful and inspiring for our clients.