What is Data Mining?

Data Mining is an analytic process designed to explore data (usually large amounts of data - typically business or market related) in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. The ultimate goal of data mining is prediction - and predictive data mining is the most common type of data mining and one that has the most direct business applications. The process of data mining consists of three stages:

(1) the initial exploration;
(2) model building or pattern identification with validation/verification;
(3) deployment (i.e., the application of the model to new data in order to generate predictions). 

What is STATISTICA Data Miner?

STATISTICA Data Miner is a complete, deployed, and ready-to-use solution. You can use STATISTICA Data Miner to solve a specific type of problem such as customer credit scoring, predicting specific aspects of customer behavior, providing answers to specific CRM questions, or managing the risk of an equipment failure using a model based on the mining of a very complex set of historical data.

Existing data mining solutions can be modified (by StatSoft or other consultants) to serve the needs of the client company. The modification of such already deployed systems is very easy because all STATISTICA Data Miner solutions are stored in the form of industry standard code (VB, C++, etc.)

Alternatively, STATISTICA Data Miner can also be used to design and deploy custom systems (in-house) by the corporate analysts and IS/IT personnel. This strategy could be the start of your organisation's competitive advantage.

STATISTICA Data Miner is a powerful tool for supporting critical business decisions in the present and for the future.