Criteria B- portfolio 3

Criteria B:
The IT background of the issue

When data extracted from different sources is combined in a web application is known as mashups. There are different kinds of mashups such as enterprise mashups; these mashups allow the people to share information between different places and exchange perspectives of different kinds. There are some aspects that this type of website application has to cover in order to be considered a mashup for example: users are allowed to consume or use different data sources, also the creating of new websites applications that offer new pieces of information which can be customize or filtered. Other examples such as the cooperation of users to share more confident information having into account the aspects of security and reliability (John Crupi, 2007).

The US doctors object to data mining because the web application can share large scales of information and companies are being able to read and analyze the doctor’s prescriptions leading to pressure from the companies to the doctors in order to make them to use or to prescribe more medicine from a certain company. Data mining allows this because it provides a huge range of data bases joined into one application, the software is capable of analyze similarities and difference between data bases and then is able to classify the data according to the relationships presented with it. (Anderson). There are four types of categories in which data is being classified; for example: classes: which places data in destined groups; clusters: the data is categorized as “logical relationships or consumer preferences” which is a clear example of the issue that is being analyzed in this portfolio; within this group the data is identified by different companies or “market segment or consumer affinities”. Basically data mining is extracted and carried onto the data bases an “warehouse system”; after being loaded and transferred to the main program the data is manipulated and stored in the system by a software the data is analyzed and placed into different categories according to the relationships within the data and finally the data is transformed and visualized by graphic tools into a format where people are able to read.

The technology that is being used is more sophisticated that it used to be few years ago; the application are faster due to the sizes of the databases; more data is being shared and the faster the systems; there are some vendors of this software such as SAS and IBM (Stacy Cowley, 2005).; the next graph will show a general overview of how data mining works