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Clementine


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 increases analyst productivity.

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Get the Insight Needed to Reach Business Goals

Clementine is an industry-leading data mining solution that helps organizations understand people's past behavior and predict future behavior. Using Clementine, analysts and business users can access data from various sources across your organization to quickly and easily produce, evaluate, and deploy analytical models. The product's open and scalable architecture leverages your existing infrastructure investments, making data mining a cost-effective analytical approach across the enterprise.

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Clementine Benefits

Accessible and Relevant

  • Increase analyst productivity with simplified data mining that actively engages and seamlessly guides them through the analytics process.
  • Clementine’s easy-to-learn visual workflow interface requires no programming skills, reducing the learning curve and making the power of analytics accessible to expert and novice alike.
Clementine Screen Shot

Predictive Analytics

  • Gain a quick competitive advantage with the best models of future behavior.
  • With time saving features like automated modeling, advanced data preparation, and ensemble modeling, Clementine can give you quick solutions and improved returns.

Adaptable

  • Reduce costs and maximize your technology with data mining that leverages your existing infrastructure.
  • Clementine’s open and scalable architecture allows many procedures to take place within a core database, including access to embedded algorithms. This can help maximize your database for enhanced performance and speed.
System Requirements
SPSS Clementine runs on a variety of operating systems and hardware configurations. For detailed specifications, download the SPSS Clementine Specification Sheet or visit the SPSS Clementine system requirements page.

Operating Systems

  • Microsoft Windows XP SP 2, 32-bit
  • Microsoft Windows XP SP 2, 64 bit
  • Microsoft Vista, 32 bit
  • Microsoft Vista, 64 bit
  • Windows Server™ 2003 (Terminal Services)

Hardware Recommendations

  • Intel Pentium or Pentium Class processor
  • 1 GB RAM or more
  • 1 GB Hard Drive space
  • CD-ROM drive
  • Monitor (1024 x 768 Resolution or better)
Clementine has the user-friendly, time saving and flexibility features that can bring high-impact analytical results to your business:

Easy-to-learn/Visual design paradigm

  • Visual data manipulation – no programming required to prepare data
  • Comprehensive range of data mining functions available in graphical user interface
  • Rich set of visualization techniques

Time-saving features

  • Automated model creation
  • Automated data preparation
  • Multi-model creation and evaluation
  • Integrated analysis of text, web and survey data

Open and scalable architecture

  • No need for specialized databases
  • Data mining within standard databases with SQL pushback
  • Maximized use of infrastructure with multithreading, clustering and use of embedded algorithms

Clementine

Clementine 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.

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Data Mining Products
Hover over a product link for more information.
Clementine Modules
Clementine Association Module

The Clementine Association Module can help you identify patterns and links between products, actions, and behavior—enabling you to use information about association and order to predict future events.
Clementine Classification Module

The Clementine Classification Module extends the capabilities of Clementine Base by providing best-of-breed algorithms to help you make the most accurate predictions and forecasts—combined with automation to help you find the best model more easily.
Clementine Segmentation Module

The Clementine Segmentation Module can help you cluster data into groups of similar examples or customers, and detect unusual or anomalous cases. Using this information, you can tailor your marketing and product or program strategies to specific groups in order to increase sales and build loyalty.
Clementine Specifications Sheet

Download this 6-page specifications sheet to learn about the features and capabilities available in Clementine.
Clementine Server Specifications

Read this brochure to learn about the powerful capabilities and performance available with Clementine Server.
Brochures
Demos and Software
White Papers

Clementine Training

Harness the power of predictive analytics by enrolling in a training program from SPSS Inc. You have three options to choose from:
  • OnSite Education (5 days), Introduction to Clementine and Data Mining
  • 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 Clementine 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.
  • Introduction to Clementine and Data Mining
    This course provides an overview of data mining and the fundamentals of using SPSS Clementine. Using the CRISP-DM methodology, the principles and practice of data mining are illustrated.
  • Predictive Modeling with Clementine
    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.
Clementine Webinars

Clementine Webinars are free events exclusively for Clementine prospects and customers.

View these up-close presentations of Clementine and related Predictive Analytics concepts and techniques.

Need more help?

Contact a sales support specialist at 800.543.2185 or send an email to sales@spss.com.

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