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A flood of data flows through your organization everyday. This information
holds, and often hides, the valuable experience of your organization's past.
Leading organizations are building data mining into their operations as a
business process of continuous improvement — turning their daily flow
of data into better business results.
Clementine is a data mining workbench that enables you to quickly develop
predictive models using business expertise and deploy them to improve decision
making. Clementine is widely regarded as the leading data mining workbench
because it delivers the maximum return on your data investment in the minimum
amount of time. Unlike other data mining workbenches, which fail to truly
support the entire business process of data mining and focus merely on models
for enhancing performance — Clementine supports the entire data mining
process to shorten time-to-solution. And Clementine is designed around the
de facto industry standard for data mining — CRISP-DM. CRISP-DM makes
data mining a business process by focusing data mining technology solving
on specific business problems.
Clementine
Quick Tour
Leading organizations use Clementine data mining to maximize returns
- HSBC Bank USA increased sales by 50 percent. Win the
right customers cost effectively by answering questions such as "Which
prospects are most likely to become profitable customers?" HSBC Bank
USA used Clementine to increase sales by 50 percent and reduce marketing
costs by 30 percent through better targeting.
- Sofmap boosted profits by 300 percent. Grow customer
relationships by answering questions such as "What will this customer
want next?" Sofmap — a leading computer retailer in Japan —
used Clementine to build a predictive recommendation engine for its Web
site and increased profits by 300 percent.
- Banco Espirito Santo reduced attrition by 15 to 20 percent. Keep
the right customers longer answering questions such as "What will it
take to save this customer?" Banco Espirito Santo used Clementine to
reduce attrition by 15 to 20 percent and increase profits by 10 to 20 percent.
- U.S. government intelligence agency focused on most likely security
threats. Enhance infrastructure and public health security by answering
questions such as "What specific event is most likely to be a security
threat?" A federal government agency used Clementine to develop predictive
intrusion models and deployed those models into an early warning system
to focus personnel on most likely security threats.
- Jubii increased click-through rates by 30 to 50 percent. Streamline
Web sites to maximize profitability by predicting clickstreams, answering
questions such as "Which clickstream is most likely to lead to a sale?"
Jubii — Denmark's most popular Internet portal — used Clementine
to provide customers with a 30 to 50 percent increase in click-through rates,
thereby increasing media buying by 10 to 15 percent.
- U.S. government tax agency recouped millions in revenue. Improve
collections management and audit selection by answering questions such as
"Who is likely to become delinquent and by how much?" and "Which
tax returns are likely to be non-compliant?" A government tax agency
used Clementine to build a predictive model to focus its search for non-compliant
tax payers — and recouped millions of dollars of tax revenue that
would have been otherwise lost.
- West Midlands Police matched unsolved cases with known perpetrators.
Improve the way you fight crime by answering questions such as "Is
there a pattern between certain crimes and known perpetrators?" West
Midlands, U.K., police department, used Clementine's rapid modeling environment
for data mining to identify key case patterns to match unsolved cases with
known perpetrators.
