user manual

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About IBM SPSS Modeler
can be shared by multiple users, or accessed from the thin-client applicat ion IBM SPSS Modeler
Advantage. Yo
u install the adapter on the system that hosts the repository.
IBM SPSS Modeler Editions
SPSS Modeler is avail ab le in the following editions.
SPSS Modeler Professional
SPSS Modeler Profess ional provides all the tools you n eed to work with most types of str uctured
data, such as behaviors and interactions tracked in CRM systems, demo graphics, purchasing
behavio r and sales d ata.
SPSS Modeler Premium
SPSS Modeler Premium is a separately- licensed pr oduct that extends SPSS Modeler Professional
to work with spe cialized data such as that used for entity analytics or soc ial networkin g, and with
unstructured text data. SPSS Modeler P r emium comprises the following components.
IBM® SPSS® Modeler Entity Analytics adds a completely new dimension to IBM® SPSS®
Modeler predictive anal ytics. Whereas predictive analytics attempts to predict future behavior
from past data, entity analytics focuses on improving the coherence and consistency of current
data by resolving identity conflicts within the records themselves. An identity can be that of an
individual, an organization, an object, or any other entity for which ambiguity might exist. Identity
resolutio n c an be vital in a number of fields, inclu ding customer relationship management, fraud
detectio n, anti-m oney laundering, and national and inte r national security.
IBM SPSS Modeler Social Network Analysis transforms information about relationships into
fields that characterize the social behavior o f individuals and groups. Using data describing
the relationships underlying soci al netwo r ks, 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 participa nts. By combining these
results with other mea sures, you can create comprehensive profiles of individuals on whic h to
base your predictive models. Mod els 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 proces s a large variety of unstructured text data, extract
and organize the key concepts, and group th
ese concepts into categ ories. Extracted concepts and
categories can b e combined with existing structur ed data, such as dem ographics, and applied to
modeling using the f ull suite of SPSS Modeler data min ing tools to yield better and more focuse d
decisions.