|
|
sponsored by SPSS Inc. Worldwide Headquarters
|
|
|
Posted:
|
20 Feb 2009
|
|
Published:
|
20 Feb 2009
|
|
Format:
|
PDF
|
|
Length:
|
8
Page(s)
|
|
Type:
|
White Paper
|
|
Language:
|
English
|
|
|
ABSTRACT:
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte." Myths and misconceptions create their own risks and need to be debunked. This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners.
It's critical to understand that data mining is a business process - a way of finding patterns in your data that provide insight you can use to conduct your business more effectively. Data mining also makes predictions to guide customer interactions and other business decisions.
|
|
|
Author
Tom Khabaza
Director of Data Mining
,
SPSS
|
BROWSE RELATED
RESOURCES
Analytic Applications Software | Business Process Management | Collaboration | Customer Interaction Services | Data Mining | Risk Assessment | Risk Management
|
View All Resources
sponsored by SPSS Inc. Worldwide Headquarters
|
|
|
|
|
|
TechTarget provides enterprise IT professionals with the information they need to perform their jobs
- from developing strategy, to making cost-effective IT purchase decisions and managing their
organizations' IT projects - with its network of
|
|
|
Definitions:
|
|
 |
|
All Rights Reserved,
Copyright 2000 - 2010, TechTarget |
|
|
|
|