| What is Data Mining |
"A new discipline lying at the interface of statistics,
data base technology, pattern recognition, and machine learning,
and concerned with secondary analysis of large data bases in
order to find previously unsuspected relationships, which are
of interest of value to their owners."
Hand, American Statistician. |
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| Experts Corner |  CRM investment is wasted if the intelligence it delivers fails to influence despatched communications. How can businesses ensure that money spent on CRM analytics actually begins to benefit the messages that are delivered to customers and prospects?
David Jefferies, Marketing Director, Pitney Bowes
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| Highlights |
 Seven Ways to Reduce IT Costs with Master Data Management
Information Technology managers are facing a dilemma given the current economic climate – despite budget cuts, companies do not expect reductions in the service levels provided by IT to the business. Under such circumstances, how do you maintain or improve service levels, and continue to run the business efficiently?
by Ravi Shankar, Senior Director of Product Marketing
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| Author: By VendorGuru |
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Doc Type: White Paper
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Format: HTML |
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| Abstract: With increasing competition in the financial services industry it is now more important than ever for banks to deploy the latest customer technologies to optimise the speed, accuracy and frequency of their marketing. Leading the sector in Austria is the country's largest - Bank Austria Creditanstalt (BA-CA) - where innovative data mining tools are now helping turn targeted marketing into a fine art. |
| Topics:
Data Mining | |
| CRM Methology:
CRM Implementation | |
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| Abstract: This white paper provides an overview of data mining, describes several applications of data mining, details the unique features of Oracle Data Mining, and provides a vision of how data mining technologies can help companies better compete using analytics. |
| Topics:
Data Mining | |
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| Author: By Colin Shearer, Vice-President, Customer Analytics |
| Company: SPSS Inc. |
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Doc Type:
Article
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| Pages: 3 |
Format: HTML |
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| Abstract: “Know your customers and give them what they want” is the fundamental principle of marketing. This principle is simple in theory, but increasingly challenging to put into practice. Short of being a mind reader or having a crystal ball, it’s difficult for marketers to know what’s on a customer’s mind today, or anticipate what the customer may need or want tomorrow. |
| Topics:
Customer Analytics | Data Mining | |
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