Maximize Your Returns with Data Mining and Predictive Analysis

Predictive Enterprises rely on predictive analytics to direct, optimize, and automate their decision making. Data mining and decision optimization form the core of predictive analysis.

Clementine, enterprise data mining software from SPSS, enables your organization to improve both strategic and operational decision making. Using predictive modeling and your business expertise, you can use Clementine to develop predictive models that can be quickly deployed into your business operations. With Clementine, your organization can:

• Improve customer relationship management (CRM) programs
• Minimize risk
• Combat fraud
• Improve quality and control operational costs
• Support homeland security and law enforcement efforts

By optimizing your view of the data, you'll make more informed decisions that directly impact your bottom line.

Leading organizations, from FORTUNE 500 companies to government agencies and academic institutions, have experienced Clementine's business benefits. They've integrated data mining into their existing systems and processes, resulting in significant returns. For example, one customer received a 600:1 first-year return of $1.8 billion in additional revenue following their implementation of Clementine to reduce non-compliance, erroneous payments, and abuse and fraud. Another customer, a national wireless provider, used Clementine to decrease its churn rate by 20 percent, representing hundreds of thousands more customers retained each month—and millions more in profits.

With Clementine, analysts and business users can collaboratively develop predictive models and deploy them to both decision makers and operational systems.

Enable your existing systems with predictive analytics

Your organization will gain a number of key advantages using Clementine, including:

• Access to industry best practices. Clementine is designed to support CRISP-DM, the de facto standard data mining methodology. Clementine's predictive modeling process leads to repeatable returns on your investment.
• Rapid predictive modeling. Clementine's visual interactive workflow interface offers complete support for the data mining process. Consequently, you can deploy predictive modeling into your organization's operations in less time.
• Flexible model deployment. Clementine provides cost-effective deployment options. Its open architecture allows it to integrate with other systems and with all of SPSS' predictive analytics applications—from real-time packaged applications such as PredictiveCallCenter to customizable high-speed batch scoring engines.
• Open architecture. With Clementine's open design, you can easily integrate the entire data mining process—including database access; text, survey, and Web data preparation; and model management—and maximize value from your existing database assets.

Manage predictive assets and fulfill compliance requirements

Clementine's value is significantly enhanced through its integration with SPSS Predictive Enterprise Services. This optional product enables your organization to centralize the storage and management of data mining models and all associated processes. It also provides:

• Automatic version control
• User authorization and authentication
• Powerful search tools for locating models
• Automated data mining processes, including model building, refreshing, and scoring
• Job control and e-mail notification

The benefits of SPSS Predictive Enterprise Services include greater productivity through improved collaboration among data miners, as well as improved IT governance, since there is an audit trail for each user and use of a predictive model. SPSS Predictive Enterprise Services complements Clementine by increasing the return on your organization's data mining investment. It also makes it easier to achieve compliance with internal processes and external regulations.

Clementine is available in Desktop Version and Server-Client Version.