| 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 |  How can I better define which inbound leads are more likely to convert so I can prioritize them more effectively?
Paul McConville, Director of Consumer-Facing Services , TARGUSinfo
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| Highlights |
 The ROI from the Socialprise
The amount of rich, unstructured data living on social Web sites continues to expand everyday due to the popularity of the Facebooks and Twitters of the world. This has the potential to offer salespeople a more updated, personalized view of leads than standard CRM applications alone can grant.
by Umberto Milletti, CEO
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| Abstract: Data Mining: Is it a creative process requiring a unique combination of tools for each application? Or is there a set of operations that can be composed using well-understood principles to solve most target problems? |
| Topics:
Customer Analytics | Data Mining | |
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| Abstract: In June 2002, CFO Research Services, the sponsored research unit of CFO Publishing Corporation, which publishes CFO magazine, launched a study in the United States to explore how finance and other business executives determine and gain value from the implementation and use of customer relationship management (CRM) systems. Specifically, we wished to determine where executives found quantifiable business value in the data produced by CRM systems. |
| Topics:
Customer Analytics | Data Mining | |
| CRM Methology:
CRM Strategy | CRM Implementation | |
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| Author: By Jeffrey Canter, Vice President of Operations at Innovative Systems, Inc. |
| Company: Innovative Systems, Inc. |
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Doc Type:
Article
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| Pages: 7 |
Format: HTML |
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| Abstract: With increased competition in online and offline marketplaces, organizations are turning to CRM to attract and retain customers. According to a recent study by Gartner Group, worldwide spending on CRM licenses and services is expected to reach $76.3 billion in 2005, more than tripling the $23.3 billion spent in 2000. |
| Topics:
Customer Analytics | Data Mining | |
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| Abstract: A close look at most IT organizations today reveals a disproportionate 60 to 70 percent investment of time on maintenance - time spent simply keeping existing systems running. All too often, when an organization needs new or improved functionality, the typical “solution” is to introduce more servers, databases, and IT personnel into the mix. This unchecked growth of the distributed client/server architecture has severely reduced corporate profit margins and sent IT costs spiraling out of control. |
| Topics:
Customer Analytics | Data Mining | eBusiness | Customer Service | |
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| Abstract: Companies around the world have invested millions of dollars in customer relationship management (CRM) systems as a key enabling technology. By collecting large volumes of customer data, CRM applications provide a comprehensive view of customer interactions, allowing companies to develop and cultivate loyal and profitable customer relationships. |
| Topics:
Customer Analytics | Data Mining | |
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