1. Data mining http://vustudents.ning.com
Data mining is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both.
Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified.

2. Contents
Data mining techniques are the result of a long process of research and product development.
Data mining in the real world focuses on the practical issues that need to be addressed as part of any data mining implementation.
It provides an overview of technologies such as data mining, personalization, and content management.
The focus of the presentation is that these technologies can be part of a process which allows marketers to tune interactive relationships to each customer's needs.

3. Scope
Data mining techniques are the result of a long process of research and product development. This evolution began when business data was first stored on computers, continued with improvements in data access, and more recently, generated technologies.
Data mining takes this evolutionary process beyond retrospective data access and navigation to prospective and proactive information delivery.
Data mining tools can answer business questions that traditionally were too time consuming to resolve.

4. Over view
Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses.
Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions.

5. Example
Data mining is using past behavior to rank customers. Such tactics have been employed by financial companies for years as a means of deciding whether or not to approve loans and credit cards.
Dynamic data access is critical for drill-through in data navigation applications, and the ability to store large databases is critical to data mining.

6. Summery http://vustudents.ning.com
Data mining can be beneficial for businesses, governments, society as well as the individual person.
In the future, when companies are willing to spend money to develop sufficient security system to protect consumer data, then the use of data mining may be supported.
Currently, business organizations do not have sufficient security systems to protect the information that they obtained through data mining from unauthorized access.