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About IBM SPSS Modeler
can be shared by mu ltiple users, or accessed from the thin-client application IBM SPS S Modeler
Advantage. Yo
u install the adapter on the s ystem that hosts the repository.
IBM SPSS Modeler Editions
SPSS Modeler is available in the following editions.
SPSS Modeler Professional
SPSS Modeler Professional pr ovides all the tools you need to work with most types of structured
data, such as behaviors and interaction s tracked in CRM systems, demographics, purcha sing
behavio r and sales d ata.
SPSS Modeler Premium
SPSS Modeler Premium is a separately - licensed product that extends SPSS Modeler Professional
to work with specialized data such as that used for entity analytics or social network ing, and with
unstructured text data. SPSS Modeler Premium comprises the following components.
IBM® SPSS® Modeler Entity Analytics add s a completely new dimension to IBM® SPSS®
Modeler predictive analytics. Whereas predictive analytics attempts to predict future behavior
from past data, entity analytics focuses on improving the coherence and consistency of current
data by reso lving identity conflicts within the records themselves. An identity can be that of an
individual, an organization, an object, or any other entity for which ambiguit y might exist. Identity
resolutio n can be vital in a number of fields, including customer relationship management, fraud
detectio n, anti-money laundering, and n ational and international security.
IBM SPSS Modeler Social Network Analysis transform s information about relationships into
fields that characterize the social behavior of individuals and groups. Using data desc r ibing
the relationships underlying social networks, IBM® SPSS® Modeler Social Network Analysis
identifies social leaders who influence the behavior of others in the network. In addition, you can
determine which people are most affected by other network participants. By combining these
results with other measur es, you can c r eate comprehensive profiles of individuals on which to
base your predictive models. Models that include this social information will perform better than
models that do not.
IBM® SPSS® Modeler Text Analytics uses advanced linguistic technologies and Natural
Language Processing (NLP) to rapidly process a large variety of unstructured text data, extract
and organize the key concepts, and group th
ese concepts into categories. Ext r acted concepts and
categories can be combined with existin g structured data, such as demographics, and app lied to
modeling using the full suite of SPSS M odeler data mining tools to yield bette r and mor e focused
decisions.