IBM SPSS Modeler Professional

IBM SPSS Modeler Professional makes it easy to discover insights in your data. Its simple graphical interface puts the power of data mining in the hands of business users while high-performance capabilities increase analyst productivity.

  • Overview
  • Purpose
  • Features
  • System Requirements
  • Learn More
Modeler Overview Demo

Quickly discover patterns and trends in your structured numerical data more easily, using a unique visual interface supported by advanced analytics. Model outcomes and understand what factors influence outcomes to proactively take advantage of opportunities and mitigate risks.

What's New in IBM SPSS Modeler Professional?

  • Optimization techniques for large datasets, including boosting and bagging, that improve model stability and accuracy
  • Enhanced visualization for key algorithms, including Neural Net and Decision Tree
  • New interactive visualization for key algorithms and 'ensemble' models, making results easier to understand and communicate
  • Updated algorithms: Neural Net and Linear
  • The ability to read and write data via XML
  • In-database data mining updated and database support extended
  • New large database processing optimization for key algorithms (when using IBM SPSS Modeler Server)
  • Runtime prompting for analysis parameters makes analysis more accurate and easier to share

Who uses IBM SPSS Modeler Professional?

Many corporations, government agencies and academic institutions around the world rely on Modeler Professional to reveal insights hidden in their data that will help them improve outcomes and reach their goals.


Modeler Professional helps:

  • Banking and financial services firms make their marketing campaigns more effective, evaluate credit risk more reliably and spot potentially fraudulent activities more efficiently
   
  • Insurance companies fine-tune marketing efforts and streamline claim processing while identifying fraudulent claims more reliably
Using data mining to detect insurance fraud  
  • Telecommunications companies develop more intimate customer relationships in order to build loyalty and reduce customer defection or "churn"
   
  • Retailers improve their assortment planning and fine-tune their marketing and customer loyalty efforts
   
  • Utilities and energy suppliers offer more personalized service to customers. Analytics also plays a role in preventive maintenance, which results in greater reliability at less cost
   
  • Government agencies manage functions as diverse as tax audit selections, military force recruitment and proactive policing and public safety
Data Mining and Crime Analysis in the Richmond Police Department Improving tax administration with data mining
  • Healthcare organizations use predictive intelligence to proactively manage their resources and fine-tune their practices to provide better patient care
Better health care with data mining  
  • Colleges and universities manage the entire student lifecycle more efficiently, from recruiting the right mix of students to offering them a selection of programs and assistance to keep them enrolled to managing alumni development programs with greater success
Data Mining and Predictive Modeling in Instutional Advancement: How Ten Schools Found Success Data mining applications in higher education

Read more about how Modeler Professional helps organizations meet a wide variety of business objectives.


Create and evaluate sophisticated models easily and visually
Create and evaluate sophisticated models easily and visually

Create and evaluate sophisticated models easily and visually

Create and evaluate sophisticated models easily and visually

Use a variety of pre-built algorithms to create models easily and intuitively. View models interactively and apply a variety of analysis and visualization techniques that help you understand and communicate the results of your analysis efforts.


Greater flexibility for business and professional analysis
Greater flexibility for business and professional analysis

Greater flexibility for business and professional analysis

Greater flexibility for business and professional analysis

Use automatic data preparation and automatic modeling to get results quickly. Full integration with IBM SPSS Statistics enables you to use best-in-class statistical analysis and reporting to support your data mining efforts from a single interface.


Support for Enterprise Standards and Technologies
Support for Enterprise Standards and Technologies

Support for Enterprise Standards and Technologies

Support for Enterprise Standards and Technologies

In-database mining allows organizations to leverage their investments in operational databases fully while enterprise features such as password protection and single sign-on ensure adherence to corporate governance over data and models.

New Features in Modeler Professional

  • Boosting and bagging
  • New visualization capabilities
  • New method for performing linear regression
  • Updated Neural Net algorithm
  • Optimization techniques for large datasets
  • Read and write data via XML
  • Easier creation of scenarios
  • Greater control of Excel export
  • Runtime prompts
  • Updated in-database data mining
  • Extended database support
  • Support for single sign-on (SSO)

Feature Demonstrations

New Linear Model Method with Interactive Visualization, Integrated Data Preparation and Model Optimization

New Linear Model Method with Interactive Visualization, Integrated Data Preparation and Model Optimization

Neural Network Algorithm and Parameter Prompting

Neural Network Algorithm and Parameter Prompting


Client

Note: For additional information or recent updates, please visit the support website at http://support.spss.com/.
  • Operating system
    • Microsoft® Windows® 7 (Professional and Enterprise) x32 and x64 Editions
    • Microsoft Windows Vista (Business and Enterprise) with Service Pack 1 x32 and x64 Editions
    • Microsoft Windows XP Professional with Service Pack 3 x32 and x64 Editions.
  • Hardware
    • Intel® Pentium® or Pentium-class processor or higher (for 32-bit Windows);
    • x64 (AMD 64 and EM64T) processor family (for 64-bit Windows).
    • A monitor with 1024x768 resolution or higher.
    • A DVD-ROM drive is also required if you are installing from the installation disk.
    • Free disk space - 2 GB of available hard-disk space.
    • RAM - 2 GB or more recommended.
  • Software - Microsoft® Internet Explorer® 6.0 or higher for online help.
  • Virtual environment - The following virtual environments are supported
    • Windows 2008® Terminal Services
    • Windows 2003® Terminal Services and R2
    • Citrix Presentation Server 4.5 Standard, Advanced and Enterprise

Server

  • Operating system
    • Windows Server 2008 (Standard and Enterprise) x32 and x64 Editions;
    • Windows Server 2003® (Standard and Enterprise) x32 and x64 Editions
    • Windows Server 2003 R2 (Standard and Enterprise) x32 and x64 Editions
    • Red Hat Enterprise Linux Advanced Platform 5.x (x32, EM64T and AMD64 processors)
    • Red Hat Enterprise Linux Advanced Server 4.x (EM64T and AMD64)
    • Red Hat Enterprise Linux Enterprise 4.x (x32, EM64T and AMD64)
    • Sun Solaris™ 9 or 10 (for SPARC 64-bit machines)
    • HP-UX 11i V3 for Itanium 64-bit machines
    • IBM AIX® 5L 64-bit, version 5.3 and 6.1.
  • Hardware
    • Pentium® or Pentium-class processor or higher (for 32-bit Windows)
    • x64 (AMD 64 and EM64T) processor family (for 64-bit Windows), running at 1GHz or faster.
    • Pentium or Pentium-class processor or higher for 32-bit Linux
    • x64 (AMD 64 and EM64T) processor family for 64-bit Linux
    • UltraSPARC II or better (for Solaris™)
    • Itanium processor for HP-UX
    • PowerPC processor, 233MHz or faster and IBM RS/6000® for AIX®.
    • A DVD-ROM drive if installing from media
    • A network adaptor running the TCP/IP network protocol.
    • Free disk space - 1 gigabyte (GB) or more recommended, 2 GB or more recommended if running on HP-UX.
    • RAM - 4 GB or more is recommended.
  • Client software - The client software must be at the same release level as the server software
  • Virtual environment - The following virtual environments are supported
    • VMWare ESX Server 3.5
    • VMWare ESX Server 3.0

IBM SPSS Modeler Training

Harness the power of predictive analytics by enrolling in a training program from SPSS, an IBM Company. You have three options to choose from:

  • OnSite Education (5 days)
  • Live e-learning: train online and in real time with an SPSS instructor (i-WBT)
  • Live instructor training: group or individual one-on-one sessions available (Live)

Top IBM SPSS Modeler Training Courses

  • Data Mining: Overview
    This one-day course introduces you to the major steps of the data mining process. The course goal is for you to be able to begin planning or evaluate your firm's current plan for data mining.
  • Predictive Modeling with IBM SPSS Modeler
    This course demonstrates how to develop models to predict categorical and continuous outcomes, using such techniques as neural networks, decision trees, logistic regression, support vector machines, and Bayesian network models.

We're Here to Help

Contact a sales support specialist at 800.543.2185 or via the web.


Resources



IBM SPSS Modeler Premium Specifications Sheet IBM SPSS Modeler Creates Predictive Intelligence: A Demonstration


Additional Quick Links

IBM SPSS Modeler Solution Publisher

What happens after you discover information that can transform your enterprise? Are your discoveries used by those who need them most? What if they needed the information a week ago? What opportunities do you miss by not deploying a data mining solution? Learn how IBM SPSS Modeler Solution Publisher helps you make better decisions through cost-effective deployment.

Learn more about IBM SPSS Solution Publisher