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DATA MINING :

S & S Connect’s Data Mining is a set of services that substantially increase revenue and margin yields from data mining and targeting activities by improving the quality of information used to build predictive models.

Conventional data mining uses customer data supplemented by 3rd party information as the foundation for building models that predict who will buy the next widget or widget enhancement. Unfortunately, these data sources provide an incomplete picture of what is purchased, how much is spent, what motivations are driving purchase as well as what brands and products will be purchased in the future. While missing information is particularly severe for non-customers, seasoned professionals estimate that in the case of customers well over half the information necessary for an accurate estimate of future behavior is missing.

S & S Connect’s Data Mining uses surveys to gather critical missing marketing information from a statistically sound sample of customers and prospects. The type of missing information gathered during the course of these surveys includes the products that have been or will be purchased; how much is or will be spent overall and how the spending is or will be distributed across competitive brands; and, what factors motivate purchase and brand choice.

These survey data are used in conjunction with existing customer and 3rd party data to build predictive models which in turn generate estimated values for critical missing information. These estimated values are generated for each customer and prospect.

Data mining is a process which identifies official, original, potentially useful, and ultimately understandable knowledge which is used to make essential business decisions. Data mining is a product that cannot be bought but Data mining can be said as a discipline and process that should be mastered. Data mining can be said as distilling useful consumer data.