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MicroStrategy Business Intelligence Software

MicroStrategy Data Mining Services

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.

With Data Mining Services, users can access highly formatted, data-rich, predictive reports through all the user interfaces supported by the MicroStrategy BI platform, as well as perform standard report manipulations and create new reports on the fly. Data Mining Services extends the reach of the traditional data mining insight by incorporating the scoring process on-demand in a single BI platform.

MicroStrategy is the first to deliver data mining and predictive analysis to all users through a fully integrated, enterprise-caliber BI platform. Using Data Mining Services, business users, report designers and analysts alike can view and build predictive reports using MicroStrategy and distribute these reports to all relevant decision makers and stakeholders.

Features and Benefits At A Glance

» Apply data mining models on demand against terabytes of data, rather than waiting for the data miner or DBA to score the database tables and columns
» Slice and dice predictive information within a limited analytical domain making it simple and safe for casual users
» Create flexibly organized and highly formatted predictive reports for easiest possible user consumption and professional presentation
» Import sophisticated predictive algorithms in PMML format using a few simple clicks of the mouse
» Leverage the full analytical power of the MicroStrategy BI platform through a fully integrated solution
» Out-of-the-box predictive calculation using over 250 analytical functions including multi-variable linear regression
» Deliver individualized messages and predictive reports to very large populations through a single "service definition" based on event triggers or schedules
» Provide large user populations with ad-hoc query and ad-hoc analysis on predictive data of an entire database without requiring knowledge of SQL, table structures, or predictive models
» Implement even the strictest security scheme to users within and outside the organization
» Apply data mining models against terabytes of data

Data Mining

Business users can create & view predictive reports, just as they would with any other MicroStrategy report.

An example of an out-of-the-box MicroStrategy data mining function is the multiple regression model, which supports linear, logarithmic and exponential regression between several independent variables and a dependent variable. This allows business users to create and view richly formatted reports with forecasted numbers. The PMML for this new predictive metric is automatically generated by MicroStrategy and can be exported and used in other data mining tools for further tuning and analysis after which it can be imported back into MicroStrategy.

Product Highlights
 
Supports Predictive Model Markup Language (PMML)

A key innovation that enables the integration of data mining models with other applications is the automatic conversion of a predictive model stored in Predictive Model Markup Language into an algorithm that is used by a metric in MicroStrategy. PMML is an XML standard that represents data mining models developed and trained by data mining tools. This industry standard was developed by the Data Mining Group (DMG), an independent group of over two dozen leading technology companies, including MicroStrategy. PMML supports a number of different data mining algorithms and incorporates data transformation and descriptive statistics. PMML is generated by nearly all data mining tools from companies such as SAS®, SPSS®, Microsoft®, Oracle®, IBM®, Quadstone and others. MicroStrategy is the first BI platform to support the PMML standard and, by allowing predictive metrics to be accessible by all users in the enterprise, data mining for the masses is possible.

See how MicroStrategy Data Mining Services supports PMML


Integrating Data Mining with MicroStrategy Business Intelligence Platform

IT departments are realizing the tremendous value that integrated data mining and business intelligence applications can bring to their organizations. Data that was once only in the hands of data mining experts is now required by relevant decision makers, managers and stakeholders to help make better decisions. The integration of data mining's predictive analysis with BI applications in the MicroStrategy platform results in easy-to-consume, highly formatted, and powerful predictive models that are easily integrated with business intelligence reports and analyses. MicroStrategy allows organizations to support all three scenarios of integration, irrespective of whether the model is created and executed by the data mining product, database management system, or whether the model is developed by the data mining tool or database and executed by the MicroStrategy platform. Once the model has been imported into MicroStrategy, it can be used in calculations and displayed in all user interfaces supported by the MicroStrategy BI platform, enabling decision makers to have access to advanced predictive analytics, applied within their everyday reports.

View how MicroStrategy delivers predictive reports to any interface


Rich Analytic Library

MicroStrategy contains a library of more than 250 basic, OLAP, mathematical, financial and statistical functions that can be used to create business metrics and key performance indicators. Other capabilities such as set analysis to determine relationships between data elements, and transformations to include time series analysis can be used in conjunction with the function library to provide rich insight without the need for a specialized third-party data-mining tool.

View examples of predictive models