Data mining is a core component of predictive analytics. Data mining provides insight into hidden patterns in your organization’s data and enables you to develop predictive models that help you anticipate change—so you can make informed decisions and take action.
SPSS’ Clementine, the premier data mining workbench, allows experts in business processes, data, and modeling to collaborate in exploring data and building models. It also supports the proven, industry-standard CRISP-DM methodology, which enables predictive insights to be developed consistently, repeatedly.
No wonder that organizations from FORTUNE 500 companies to government agencies and academic institutions point to Clementine as a critical factor in their success. Thanks to Clementine, such organizations can:
- Improve customer acquisition and retention
- Increase customer lifetime value
- Detect and minimize risk and fraud
- Reduce cycle time while maintaining quality in product development
- Support scientific research
- Enhance homeland security and law enforcement efforts
One customer received a 600:1 first-year return, generating an additional $1.8 billion in revenue, by using Clementine to reduce non-compliance and erroneous payments, and minimize fraud and abuse.
Another, a national wireless provider, decreased its churn rate by 20 percent, representing hundreds of thousands more customers retained each month—and millions more in profits.
SPSS has spent more than a decade crafting a wealth of capabilities that make Clementine one of the world’s most popular data mining workbenches.