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Write a 5 pages paper on data mining: the personalization of the organizations business processes.
Write a 5 pages paper on data mining: the personalization of the organizations business processes. Data Mining tools often predict future trends and current behaviors. This enormously assists in the making of knowledgeable decisions. Hidden patterns are often the resultants of Data Mining processes. These patterns may most probably be missed out by humans as they lie out of their expectations. Thus Data Mining does the wonders for an organization that may otherwise seem impossible.
The key to Data Mining, for any respective organization, is the Mining of Data concerning the requirements of its users. This emphasizes the fact that the evaluation of raw data would be of substantial value to the concerned organization only if it is produced in line with the requirements of the stakeholder. The Data Miners can work on the data and produce varying trends of results but if they are the results that are already obvious or are beyond the scope of the stakeholder then they are most probably not going to be of any good for the organization that is bound to receive them.
“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.” (Thearling, 1997)
Data Mining is often given the names of Knowledge Discovery from Database and Business Intelligence. Data Mining is in fact the key step in the acquisition of knowledge from a vast data bank. Other processes that contribute to Data Mining for the final discovery of information are often referred to as Pattern Recognition, Data Cleaning, Selection, Integration, and Transformation.
Data Miners have always deployed Data Mining algorithms for mining data. However, several issues need to be taken off by data miners to execute successful data mining operation for the respective organizations.
Enabling access of precious data to users and stakeholders alike, pose a potential threat to the security of the data itself.
