|
|
 |
|
 |
| |
SPSS Clementine
|
|
| |
|
|
| |
Solution Summary |
|
| |
Clementine is a data mining workbench for analysts (model builders) and analytically-savvy business users who need to mine data to maximize customer and citizen relationships and minimize the downsides of anomalies like fraud and risks like medical risk. |
|
| |
|
|
| |
Solution Profile |
|
| |
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. Clementine is available in English, Japanese, French, German, Italian, Spanish, and Korean. |
|
| |
|
|
| |
Distinguishing Features |
|
| |
 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. Oracle Data Mining algorithms can be driven from within the Clementine interface. 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 in-database batch scoring within Oracle. Open architecture. With Clementine's open design, you can easily integrate the entire data mining process—including Oracle access; text, survey, and Web data preparation; and model management—and maximize value from your existing Oracle assets. |
|
| |
|
|
| |
Solution Details |
|
| |
| Solution Type: | Software |
|
|
| |
| Solution Availability: | |
|
|
| |
| Company Size Solution is Targeting?: | < 50 |
|
|
| |
| Open Source Solution: | No |
|
|
 |
|
 |
|
 |
|
|
|
|
|
|
|
|
|
|
|
| |
The partners listed in the Oracle PartnerNetwork (OPN) Solutions Catalog are part of the Oracle PartnerNetwork Program, however Oracle does not endorse any of the partners or their software, solutions, services or training listed on this site. Oracle disclaims any and all liability arising out of your use of the partners, software, solutions, services and training listed on the site. All software, solutions, services and training are provided “as is” and without warranty, unless provided by the authoring partner.
|
|
|
|
|
|
|
|
|
