IBM SPSS Modeler

IBM SPSS Modeler (formerly Clementine®) 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 and high-performance increases analyst productivity.

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Modeler Anomalies
Modeler Anomalies

Modeler Anomalies


Gain an unprecedented level of insight and prediction from your data with IBM SPSS Modeler.

Quickly discover patterns and trends in your data more easily, using a unique visual interface supported by advanced analytics.

What's New in IBM SPSS Modeler?

Modeler Comments Demo

Comments and Annotations in IBM SPSS Modeler

Modeler Comments Demo

Introducing IBM SPSS Modeler's Auto Cluster Node

  • Automated Data Preparation Saves time when preparing data and get to the analysis phase faster.
  • Comments - Document the thoughts or processes used in the creation of a model, and efficiently share these with others in your organisation.
  • Nearest Neighbor - Quickly and easily group similar cases, such as valuable customers or donors, using prediction or segmentation techniques.
  • Statistics Integration - Leverage the analytical capabilities of IBM SPSS Statistics software without leaving the IBM SPSS Modeler interface.
  • Improved Visualisation - Automatically generate graphs from a subset of model data and create rich custom graph types and style sheets seamlessly with VizDesigner.


Software Demo

Easy to Use Visual Interface

You can see every step of the process, easily explore ideas or hunches without having to write code, and then deliver results faster to the point of decision making.


Software Demo

Time Saving Features

IBM SPSS Modeler offers many features that provide faster and greater return on your analytical investment. Automated modeling, for example, helps you quickly identify the best-performing models and combine multiple predictions for the most accurate results.


Software Demo

Proven Performance and Scalable Architecture

Perform data mining within existing databases and score millions of records in a matter of minutes without additional hardware requirements. Through multithreading, clustering, embedded algorithms, and other techniques, you can conserve resources and control IT costs while delivering results faster.

What's New

Statistics Integration

Leverage the analytical capabilities of IBM SPSS Statistics software without leaving the IBM SPSS Modeler interface.

Automatic Data Preparation

Prepare data in a single step using the new Automated Data Preparation feature.

Comments

Document the thoughts or processes used in the creation of a model, and efficiently share these with others in your organisation.

New Features in Modeler 13

  • Password Protect Nodes
  • Enhanced Decision List
  • Improved Visualisation
  • Node Search
  • Data Output Preview
  • Nearest Neighbor Algorithm
  • Auto Cluster Node
  • High Speed CHAID
  • Deploy in Virtualised Server Environments
  • Support for More Data Sources
  • Expanded SQL Pushback Support
  • More Languages

IBM SPSS Modeler has a wide range of users, from IT technology centric users to business users, requires no programming skill to reap the benefits of data mining, and supports the whole data mining process with comprehensive facilities.

IBM SPSS Modeler Add-on Products

IBM SPSS Text Analytics

Discover new insights and develop better models by including valuable text data in your analyses.

IBM SPSS Modeler Web Mining

Perform ad hoc predictive Web analysis and easily transform raw Web data into analysis-ready business events using the integrated Web mining source node.

IBM SPSS Modeler Server

Extract key insight from vast amounts of data in a very short time with enterprise-level technologies. Leverage in-database mining and share results broadly, easily.

 
  • IBM SPSS Association
  • IBM SPSS Classification
  • IBM SPSS Segmentation
  • IBM SPSS Modeler Solution Publisher

IBM SPSS Modeler 13

  • Operating system:
    • Microsoft Windows Vista® (Business and Enterprise) x32 or x64 Edition
    • Microsoft Windows XP Professional® with Service Pack 2 x32 or x64 Edition
    • Windows Server 2003® (Terminal Services).
  • Hardware:
    • Processor: Intel Pentium® or Pentium-class processor or higher (for 32-bit Windows); x64 (AMD 64 and EM64T) processor family (for 64-bit Windows)
    • Monitor: A monitor with 1024x768 resolution or higher
    • A CD-ROM drive is also required if you are installing from a CD-ROM
  • Minimum free disk space: 1 GB of available hard-disk space
  • Minimum RAM: 1 GB of RAM minimum; 2 GB or more recommended
  • Software: Microsoft Internet Explorer® 6.0 or higher for online help
  • Virtual Environment:Windows 2003® Terminal Services or Citrix Presentation Server 4.5

Server

  • Operating system:
    • Windows Server 2003® (Standard and Enterprise) x32 or x64 Editions
    • Sun Solaris (TM) 9 or 10 (for SPARC 64-bit machines)
    • HP-UX 11i V2 64-bit version, HP-UX 11.23 and HP-UX 11.i V3 64-bit version, or HP-UX 11.31
    • IBM AIX® 5L 64-bit, versions 5.3 and 6.1
    • Red Hat Enterprise Linux, ES4 and 5 (32-bit and 64-bit processors)
    • VMware ESX 3.0
  • Hardware:
    • Intel 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
    • A CD-ROM drive
    • A network adapter running the TCP/IP network protocol
  • Minimum free disk space: 1GB recommended
  • Minimum RAM: 4GB recommended

Batch

  • Operating system:
    • Windows Server 2003® (Standard and Enterprise) x32 or x64 Edition
    • Windows Server 2003 R2® (Standard and Enterprise) x32 or x64 Edition
  • Hardware:
    • Intel 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
  • Minimum free disk space: 1GB recommended
  • MinimumRAM:4GB recommended
     

IBM SPSS Modeler Training

Top IBM SPSS Modeler Training Courses

  • Introduction to IBM SPSS Modeler & Data Mining
    This course provides you with an overview of data mining and the fundamentals of using IBM SPSS Modeler. The principles and practice of data mining are illustrated using the CRISP-DM methodology. You'll also learn how to read, explore, and manipulate data while emphasising some standard data preparation techniques, and then create and use successful models.
  • Clustering & Association Models with IBM SPSS Modeler
    This course demonstrates how to segment or cluster data with all the clustering techniques available in IBM SPSS Modeler. The course also provides examples of creating association models to find rules describing the relationships among a set of items, and of creating sequence models to find rules describing the relationships over time among a set of items.
  • Predictive Modelling 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.
  • IBM SPSS Text Analytics
    This course shows how you can convert text to data for use in text mining and data mining applications.


Awards and Recognition

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Need more help?

Contact a sales specialist at 0845 345 0935 or send an email to spsssale@uk.ibm.com.



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IBM SPSS Association

This module helps you discover patterns and links between products, actions, and behavior - enabling you to use information about association and order to predict future events. Once you identify these links, patterns, and sequences, you can use them to improve decision making in a wide variety of applications.

It includes these algorithms: A Priori, a popular association discovery algorithm with advanced evaluation functions. CARMA, an association algorithm that supports multiple consequents. And Sequence, an algorithm that is used for order-sensitive analyses.

Contact a sales specialist at 0845 345 0935 or send an email to spsssale@uk.ibm.com.

IBM SPSS Classification

This module helps you create better classification and regression models using a range of advanced techniques.

It includes these algorithms: Neural Networks, which enables you to explore subtle or hidden patterns in your data. C5.0, an advanced decision tree and rule-induction algorithm. And Decision List, a rule-based algorithm that enables you to include your own business knowledge. This module supports the efficient creation of models that are both more subtle, more accurate, and more relevant to your business.

Contact a sales specialist at 0845 345 0935 or send an email to spsssale@uk.ibm.com.

IBM SPSS Segmentation

This module helps you create clusters of similar examples or customers and detect unusual or anomalous cases. For example, you can use clusters to tailor your marketing and product or program strategies to specific groups in order to increase sales and build loyalty.

It includes three powerful clustering algorithms: the TwoStep algorithm is based on hierarchical techniques, which are used to arrive at the best number of clusters for the particular problem. A Kohonen network, also called a "self-organizing map" (SOM), is used to uncover patterns that may be hidden in high-dimensional data. The anomaly detection algorithm finds items that do not fit the pattern and provides information about why they do not fit.

Contact a sales specialist at 0845 345 0935 or send an email to spsssale@uk.ibm.com.

IBM SPSS Modeler Solution Publisher

Use IBM SPSS Modeler Solution Publisher to deploy analytical results enterprise-wide to support informed, consistent decision making throughout your organisation. This deployment solution enables you to deliver results quickly and cost-effectively right from the start, and then automate processes so that your organisation can keep up-to-date with changes in your enterprise and the marketplace.

Contact a sales specialist at 0845 345 0935 or send an email to spsssale@uk.ibm.com.