| 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. |
|
| 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
Read more... |
|
| 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
Read more... | |
|
|
|
|
 |
|
| |
| Abstract: In the past, mining for gold consisted of choosing a site and then sifting through endless amounts of dirt. Sometimes the miner only found a few valuable nuggets, sometimes he hit upon an entire vein, but most of the time, he found nothing at all and decided to either move on to another promising spot or give up mining altogether and stop wasting his time. |
| Topics:
Data Mining | |
| | |
|
|
|
|
| Author: By Richard Swartz |
| Company: DataMentors |
|
Doc Type:
|
| Pages: 5 |
Format: HTML |
|
| |
| Abstract: Customers are a treasure that should not be treated as a commodity. Most corporations recognize this and go to great lengths to acquire and retain their customers. Since the number of potential customers is finite, competition among corporations is extremely fierce and companies continually look for the edge that will give them the upper hand. |
| Topics:
Data Mining | |
| CRM Function:
Customer Retention |
| | |
|
|
|
|
| Author: By Dr. Diego Kuonen, Founder & CEO |
| Company: Statoo Consulting |
|
Doc Type:
|
| Pages: 6 |
Format: PDF |
Size: 172 kb |
| |
| Abstract: The field of data mining, like statistics, concerns itself with “learning from data” or “turning data into information”. In this article we will look at the connection between data mining and statistics, and ask ourselves whether data mining is “statistical deja vu”. |
| Topics:
Data Mining | |
| | |
|
|
|
|
| Author: By Michael J. A. Berry, Founder & Principal |
| Company: Data Miners |
|
Doc Type:
Article
|
| Pages: 3 |
Format: HTML |
|
| |
| Abstract: The opportunity to write a second edition of my book allowed me to reassess an old familiar topic. Gordon Linoff and I recently completed the new edition of Data Mining Techniques for Marketing, Sales, and Customer Relationship Management. The difference between the first and second editions says a lot about how the field has evolved. It says even more about how our own perspective has changed by years of running a data mining consulting practice. |
| Topics:
Data Mining | |
| | |
|
|
|
|
| Author: By Robert S. Orf, CEO & Van Mayros, Global Knowledge Management Author, Speaker and Consultant |
| Company: DataMentors |
|
Doc Type: White Paper
|
| Pages: 14 |
Format: PDF |
Size: 220 kb |
| |
| Abstract: Can a simple White Paper help your organization improve revenues and profits? Is it possible for a White Paper to replace a consultancy hired to improve revenue or customer relationship management? Does the secret to profit optimization lie in the careful management of DATA? Or is the processes involved in transitioning DATA TO INFORMATION TO KNOWLEDGE TO MANAGER UTILIZATION, the MOST IMPORTANT business reengineering process of the 2004-2010 timeframe? |
| Topics:
Business Intelligence | Data Mining | |
| | |
|
|
|
|
|
|
