Data Mining The amount of knowledge available in today's world is massive. The information technology specialist who's responsible to his or her organization for maximizing the capacity for practical usage of this knowledge, it is becoming increasingly difficult to have a total grasp of the problem. The purpose of this essay is to discuss the importance of implementing data warehousing and mining systems inside an organization. In order to do this, it is necessary to contrast the positive benefits of data mining and contrast those ideas with the negative connotations associated with the similar processes.

Data mining, according to Thearling (2009) is "the automated extraction of hidden predictive information from large databases. " Additionally, data mining is a proactive and aggressive tactic that can serve the overall business strategy when properly aligned. Statistical analysis is inherent within any type of data mining technique and is expressed in these terms. The reasons why data mining or data warehousing is important is because of the potential to simplify all types of processes within a complicated data field.

It is also important to understand the complex issues involved in gaining a total understanding of what is at stake. Greenfield (2005) examined the case for data warehousing and the case against data warehousing. There's several reasons why a company would want to implement these...

What's most important to understand is that whatever data mining technique is used, and for whatever purpose, it must be aligned with the greater organizational goals in order for it to contain any advantage.
Greenfield (2005) also stated a strong case against data warehousing and data mining processes. Data warehousing systems do not seem to capture a total organizational view. The complication that data mining often initiates can often distract the organization from its larger mission. Technology also has the tendency to move at a very quick pace. Consistently upgrading and overhauling data mining systems may not be worth accomplishing for some companies. The overall costs of data mining systems can be expensive and not cost-effective for some companies to implement. Once again it is important to make sure that whatever data mining system is implemented or not implemented that this maneuver is associated with the overall principles of the strategic goals of the business.

Currently on today's market there is a range of analytical tools that can help extract meaning within…