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Data Mining

Data mining is the process of sifting through large amounts of historical data in search of hidden patterns and predictive information using statistical analysis, modeling techniques, machine learning, and database technologies. In other business intelligence (BI) architectures, organizations are limited to historic analysis within a BI solution, and are forced to perform predictive analysis in a separate system. With MicroStrategy, data mining scoring is fully integrated into mainstream business intelligence. This complete integration elevates the availability of predictive metrics to all decision makers and business users.

Predictive Analysis Standards

The integration of data mining models from other applications is accomplished by importing Predictive Model Markup Language (PMML) into the metadata repository and automatically creating a predictive metric. PMML is an XML-based industry standard developed by the Data Mining Group (DMG) to describe predictive models. It supports a number of different data mining algorithms, including Neural Networks, Clustering, Regression, Decision Trees, and Association. MicroStrategy is the first BI platform to support the PMML standard. Predictive models are still developed in specialized data mining applications; MicroStrategy manages the data scoring and distribution of the results across the enterprise.

Data Mining with MicroStrategy BI Tools

MicroStrategy Data Mining Services is a fully integrated component of the MicroStrategy BI platform that delivers the results of predictive models to all users in familiar, highly formatted and interactive reports and documents. It empowers business users to leverage sophisticated predictive models that describe the likelihood of a future event. Data Mining Services allows organizations to use predictive functions that are natively available with MicroStrategy, or import models from third-party data mining vendors.