Data Mining

Author Information

StefanJeff has 8 Published Articles

United States of America,
ma,
walpole,
1600 boston,

Data Mining

Posted On : Sep-01-2010 | seen (1266) times | Article Word Count : 521 |

Data mining is used today by outsourced product development companies with a strong consumer focus on organizations, such as retail, financial, communication, and marketing.

Data mining is used today by outsourced product development companies with a strong consumer focus on organizations, such as retail, financial, communication, and marketing. It enables these companies to determine relationships among internal factors, such as price and product positioning and external factors, such as economic indicators, competition, and customer demographics. It also enables them to determine the impact on sales, customer satisfaction, and corporate profits. Many companies collect and refine massive quantities of data. Data mining techniques can be implemented rapidly on existing software and hardware platforms to enhance the value of existing information resources in order to integrate with new products and systems as they are brought on-line.

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 that allow users to navigate through their data in real time. Data mining takes this evolutionary process beyond retrospective data access and navigates to prospective and proactive information delivery. Data mining automates the process of finding predictive information in large database. Questions that traditionally required extensive hands-on analysis can now be answered directly from the data and even more quickly. Data mining uses data on past promotional mailings to identify the targets most likely to maximize return on investment in future mailings. Data mining tools sweep through databases and identify previously hidden patterns in one step.

Data mining techniques can yield the benefits of automation on existing software and hardware platforms that are used by outsourced software development companies. This technique can be further implemented on new systems as existing platforms are upgraded to develop new products. When data mining tools are implemented on high performance using parallel processing systems, they can analyze massive database in minutes. Faster processing means that users can automatically experiment with more models to understand complex data.

Data mining consists of five major elements:

• Extract, transform, and load transaction data onto the data warehouse system.
• Store and manage the data in a multidimensional database system.
• Provide data access to business analysts and information technology professionals.
• Analyze the data by application software.
• Present the data in a useful format, such as graph or table.

Outsourced product development companies are providing business process outsourcing services, such as data mining and data entry services. Team of highly skilled and efficient people, with a singular focus on data processing, data mining, and data entry outsourcing services caters to the data entry projects of a varied nature and type. Comprehensive data warehouses that integrate operational data with customer, supplier, and market information have resulted in an explosion of information. Competition requires timely and sophisticated analysis on an integrated view of the data. However, there is a growing gap between more powerful storage and retrieval systems and the users’ ability to effectively analyze and act on the information they contain. Both relational and OLAP technologies have tremendous capabilities for navigating massive data warehouses, however, brute force navigation of data is not enough.

Re-Publish this Article

<h1>Data Mining</h1> Author: <a href='http://www.articleseen.com/profile_StefanJeff.aspx'>StefanJeff</a> Data mining is used today by outsourced product development companies with a strong consumer focus on organizations, such as retail, financial, communication, and marketing. It enables these companies to determine relationships among internal factors, such as price and product positioning and external factors, such as economic indicators, competition, and customer demographics. It also enables them to determine the impact on sales, customer satisfaction, and corporate profits. Many companies collect and refine massive quantities of data. Data mining techniques can be implemented rapidly on existing software and hardware platforms to enhance the value of existing information resources in order to integrate with new products and systems as they are brought on-line.

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 that allow users to navigate through their data in real time. Data mining takes this evolutionary process beyond retrospective data access and navigates to prospective and proactive information delivery. Data mining automates the process of finding predictive information in large database. Questions that traditionally required extensive hands-on analysis can now be answered directly from the data and even more quickly. Data mining uses data on past promotional mailings to identify the targets most likely to maximize return on investment in future mailings. Data mining tools sweep through databases and identify previously hidden patterns in one step.

Data mining techniques can yield the benefits of automation on existing software and hardware platforms that are used by outsourced software development companies. This technique can be further implemented on new systems as existing platforms are upgraded to develop new products. When data mining tools are implemented on high performance using parallel processing systems, they can analyze massive database in minutes. Faster processing means that users can automatically experiment with more models to understand complex data.
 
Data mining consists of five major elements:

•	Extract, transform, and load transaction data onto the data warehouse system. 
•	Store and manage the data in a multidimensional database system. 
•	Provide data access to business analysts and information technology professionals. 
•	Analyze the data by application software. 
•	Present the data in a useful format, such as graph or table.

Outsourced product development companies are providing business process outsourcing services, such as data mining and data entry services. Team of highly skilled and efficient people, with a singular focus on data processing, data mining, and data entry outsourcing services caters to the data entry projects of a varied nature and type. Comprehensive data warehouses that integrate operational data with customer, supplier, and market information have resulted in an explosion of information. Competition requires timely and sophisticated analysis on an integrated view of the data. However, there is a growing gap between more powerful storage and retrieval systems and the users’ ability to effectively analyze and act on the information they contain. Both relational and OLAP technologies have tremendous capabilities for navigating massive data warehouses, however, brute force navigation of data is not enough.About the Author: Shawnfrankk is the author of this article. He has been writing articles for <a rel="nofollow" href="http://www.q3tech.com/">Outsourced product development </a> like Q3 technologies since last three years. He also has a keen interest in outsourced product development services.

For more details, feel free to visit http://www.q3tech.com
 Article Source: <a href='http://www.articleseen.com/Article_Data-Mining_31322.aspx'> http://www.articleseen.com/Article_Data Mining_31322.aspx</a>

Article Source : http://www.articleseen.com/Article_Data Mining_31322.aspx

Author Resource :
Shawnfrankk is the author of this article. He has been writing articles for Outsourced product development like Q3 technologies since last three years. He also has a keen interest in outsourced product development services.

For more details, feel free to visit http://www.q3tech.com

Keywords : Outsourced Product Development, offshore product development companies, Outsourced Product development companies, Offshore pr,

Category : Computers : Software

Print this Article Send to Friend