Data Mining to Achieve Competitive Edge in Business
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Posted On :
Dec-02-2011
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Article Word Count :
530
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Most marketers understand the value of collecting financial data,
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Most marketers understand the value of collecting financial data, but also get the knowledge back to the client to the intelligent, active way of understanding the financial
needs and needed. This accessible introduction, we are a business and data mining provides the technical overview and outline how sound business processes and
complementary technologies, data mining and financial analysis for the re.
Data mining for extracting or mining knowledge to handle large amounts of data, or we can say, "knowledge for data mining" data mining or knowledge discovery in us owe
said. Data mining means: data collection, database creation, data management, data analysis and understanding.
Some steps in the process of knowledge discovery in databases such as those
Data change. Pattern evaluation. Knowledge presentation. Multiple sources of data warehouse, an integrated schedule and usually stored in a single site is a repository of
information gathered.
Banks and financial institutions, most of the checking, savings, business and individual customer transactions, credit, insurance and stock mutual funds, etc. Some also
offer services such as investment banking services including investment services to offer a wide truth. There are different types of analysis, but in this case a "growth
analysis" is known as the wish to analyze.
Data D object whose behavior is used to analyze changes over time. While this characterization, discrimination, association, classification or clustering of related data, the
mean time, we can the growth of sequence analysis, time series data analysis, or periodicity pattern recognition and similarity-based data analysis to say through is.
Collecting data from banking and financial sectors, often relatively complete, reliable and high quality, which allows for analysis and data mining. Here we discuss some
issues such as:
Suppose we have available in recent years the exhibition dates. And we want the best to invest in stocks. A data mining study of the total shares of the stock exchange
and sharing of data growth, especially for files that can identify regularities. Such regularities of stock prices to predict future trends to help, may have contributed to her
decision about stock investing.
A loan and revenue changes by month field and minimum, maximum, total, average and other statistical information along with other factors, as it can. Data warehouses, to
facilitate comparative analysis and the analysis of non-financial data analysis and mining play an important role. Loan payment prediction and customer are important to the
company's creditworthiness of the bank web data mining to identify important factors and can help to eliminate the irrelevant one.
Debt income ratio, credit history and repayment period for many more related to factors such as loan payments risk. Banks than the fixed factor analysis of the relatively
low risk profile of the show.
We can work faster and with a more sophisticated presentation of the financial analysis software. These products easier to understand complex data analysis condenses in
graphical presentations. And a bonus: this type of software consulting company a more advanced level, in our practice safe a
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Article Source :
http://www.articleseen.com/Article_Data Mining to Achieve Competitive Edge in Business_113545.aspx
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Author Resource :
Roze Tailer writes article on Linkedin Data Scraping, Ebay Data Scraping, Mailing List Compilation, Web Screen Scraping, Web Data Scraping, Web Data Extraction etc.
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Keywords :
Linkedin Data Scraping, Data Extraction Services, Mailing List Compilation ,
Category :
Business
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Small Business
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