SPSS Modeler - Compare editions
- Modeler Professional
- Modeler Premium- selected tab,
- Modeler Server
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IBM SPSS Modeler Premium
adds the ability to integrate
unstructured data (text) into
modeling efforts. From a single
interface, analysts can extract
concepts and associated
sentiment, visualize
relationships between concepts
and sentiment and structure
unstructured data for use in
predictive models from a
single interface.Make more accurate predictions by integrating unstructured text
IBM SPSS Modeler Premium has all of the data mining features included with IBM SPSS Modeler Professional, plus sophisticated text analytics functionality to help you combine structured and unstructured data for the most accurate predictive models possible.
Large amounts of data that could be useful in modeling outcomes and in understanding the factors that drive outcomes are trapped in unstructured, or textual, format. To make your models more accurate, you need to unlock the value of unstructured data from your operational data stores as well as from files, emails, call center notes, blogs, and RSS feeds. You also need the ability to leverage text in many languages to ensure that you include a global perspective.
Explore a broader range of data
Access and integrate data from any source, including mainframe data, data from Cognos® Business Intelligence and virtually any type of database, spreadsheet or flat file – such as IBM® SPSS® Statistics, SAS® and Microsoft® Excel® files – as well as textual data and data from Web 2.0 sources, such as RSS feeds, and IBM® SPSS® Data Collection products. No other data mining solution offers this versatility.
Get insights in any language
Identify and extract sentiments and opinions in multiple languages, using text link analysis technology. Fully supported languages include Dutch, English, French, German, Italian, Portuguese, Spanish and Japanese. However, the Japanese Language Extractor is required in order to process text in that language. The English-language version of IBM SPSS Modeler Premium includes an interface that supports translation into additional languages such as Russian, Arabic and Chinese through third-party software applications.
Customize for your needs and industry
Easily extend the included text resources for your own business using the Resource Editor, which helps you find relevant concepts and associations faster. Create customized templates and libraries for specific business applications directly from the main Modeler toolbar, and reuse them with other products and applications, including IBM® SPSS® Text Analytics for Surveys. IBM SPSS Modeler Premium includes 180 vertical taxonomies (ranging from life sciences to banking and insurance to consumer electronics and much more). It includes more than 400,000 terms, plus 100,000 synonyms and thousands of brand names.
Improve decision-making across the enterprise
You can use insights derived from text data to achieve more accurate results with other IBM SPSS predictive applications - for example, improve real-time and batch scoring, provide real-time recommendations to inbound callers or speed insurance claim processing.
New features in IBM SPSS Modeler Premium
Additional in-database algorithms for InfoSphere Warehouse: Logistic Regression, Naïve Bayes, Time- Series and RBF (Radial Basis Function)
Read to and write from Cognos® Business Intelligence to enable users to leverage IBM SPSS Modeler’s powerful analytics against their enterprise data views
Support for IBM Classic Federation and zDB2® provides the ability to use Modeler’s data validation, data transformation and data aggregation techniques and algorithms to build predictive models with data stored in mainframe systems
These enhancements require IBM SPSS Modeler Professional Server:
Additional in-database algorithms for InfoSphere Warehouse: Logistic Regression, Naïve Bayes, Time- Series and RBF (Radial Basis Function)
In-database algorithms for Netezza: Netezza Decision Tree and Netezza K-Means Clustering
Extended InfoSphere / DB2 integration, including access to the full range of InfoSphere data mining algorithms, DB2 compression and partitioning. This ensures that InfoSphere and IBM SPSS Modeler are a best-in-class, single-vendor solution for data storage, data management and advanced analytics.
Integration into IBM Smart Analytics Systems , an integrated platform that provides broad analytics capabilities on a powerful warehouse foundation with IBM server and storage
zLinux® system support will enable enterprise customers to quickly and cost effectively deploy advanced analytics on System z® machines running a Linux operating system

