Application of Data Mining

As a new branch of science in the areas of computers quite a lot of applications that can do by Data Mining. Moreover, supported by the richness and diversity of the various fields of science (artificial intelligence, databases, statistics, mathematical modeling, image processing, etc..) Makes the application of data mining becomes more widespread. In any field application of data mining can be done? This brief article attempts to answer.


Market Analysis and Management
For market analysis, many data sources that can be used like a credit card transaction, certain club membership cards, discount coupons, buyer complaints, coupled with a study of public lifestyle.Some solutions that can be solved by data mining include: 
• Shoot the target market 
Data mining can perform grouping (clustering) of these models the buyer and the classification of each purchaser in accordance with the desired characteristics such as liking the same, the same income level, buying habits and other characteristics. 
• Seeing the purchasing patterns of users from time to time 
Data mining can be used to see someone purchasing patterns over time. For example, when someone got married he might then decide to move from the single account to joint account (joint account) and then after that its purchasing pattern is different from when he was a bachelor. 
• Cross-Market Analysis
We can use data mining to look at the relationship between sales of one product with another product. Below I present some examples:o Search for Coca Cola's sales patterns so that we can know what items are that we must provide to increase sales of Coca Cola?o Find Indomie sales patterns so that we can know what items are also purchased by the buyer Indomie. Thus we can determine the impact if we no longer sell Indomie.o Find sales patterns
• Customer Profile
Data mining can help you to see the profile of the customer / buyer / customer so that we can know certain groups of customers like to buy any product.• Identification of Customer NeedsYou can identify what products are best for each customer group and arrange any factors which may attract some new customers to join / buy.
• Assessing Customer Loyalty
VISA International Spain using data mining to see the success of customer loyalty programs them. You can see in www.visa.es/ingles/info/300300.html
• Information Summary
You also can use data mining to create summary reports that are multi-dimensional and equipped with other statistical information.

Corporate Analysis and Risk Management
• Financial Planning and Asset Evaluation
Data Mining can help you to do the analysis and prediction of cash flow and make contingent claim analysis to evaluate assets. In addition you can also use it for trend analysis.
• Resource Planning
By looking at the summary information (summary) and the pattern of expenditure and income of each resource, you can use it to perform resource planning.
• Competition
o Today many companies are trying to be able to do competitive intelligence. Data Mining can help you to monitor your competitors and see their market direction.
o You can also do grouping your customers and diversify the price / service / bonus for each group.
o Develop pricing strategies in highly competitive markets. It is applied by the oil company Repsol in Spain in the sale price of gas in the market.

Telecommunication
A telecommunications companies to apply data mining to look at the millions of transactions are entered, the transaction which are still to be handled manually (served by people). The aim is none other than to add an automatic service for transactions that are still served by hand. Thus the number of receiver operator manual transaction can still be suppressed minimum.

Finance
Financial Crimes Enforcement Network in the United States recently used data mining to mine trillions of various subjects such as property, bank accounts and other financial transactions-transactions to detect suspicious financial transactions (such as money laundry). They claimed that it would be hard to do if using a standard analysis. You can see in www.senate.gov/ ~ appropriations / treasury / testimony / sloan.htm. Perhaps it is time also the Supreme Audit Board of the Republic of Indonesia uses this technology to detect the flow of funds BLBI.

Insurance
Australian Health Insurance Commission uses data mining to identify the health services that are not necessary but is still being done by the participants of insurance. The result? They managed to save one million dollars per year. You can see in www.informationtimes.com.au / data-sum.htm. Of course this can not only be applied to health insurance, but also for various other types of insurance.

Sports
IBM Advanced Scout uses data mining to analyze the NBA game statistics (number of shots blocked, assists, and fouls) in order to achieve competitive advantage (competitive advantage) for the team the New York Knicks and Miami Heat.

Astronomy
Jet Propulsion Laboratory (JPL) in Pasadena, California and Palomar Observatory discovered 22 quasars with the help of data mining. This is one of the successful application of data mining in astronomy and space science. You can see in www-aig.jpl.nasa.gov/public/mls/news/SKICAT-PR12-95.html.

Internet Web Surf-Aid
IBM Surf-Aid uses data mining algorithms to data access Web pages specifically related to marketing in order to see the behavior and customer interest as well as looking into-an-effective marketing via the Web.

By looking at some of the applications mentioned above, look at all the great potential of applying data mining in various fields. Even some of the bold claim that data mining is one of the activities in the field of software that can provide ROI (return on investment) is high. However, keep in mind that the Data Mining only see the regularity or pattern of history, but still not the same history with the future. Example: if people drink too much Coca Cola does not mean he'll be overweight, if people are too much smoke does not mean he's definitely going to get lung cancer or die young. However data mining remains the only tool that can help humans to see patterns, analyze trends and so on. in order to speed up decision making.