Data Mining For Competitive Intelligence

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Competitive Intelligence Look In Your Own Mirror First Why Don’t You?


The World Wide Web contains a lot of information that is freely and easily available to anyone with a decent Internet connection. [schema type=”organization” orgtype=”LocalBusiness” url=”” name=”Agile Marketing Solutions” description=”The problem is more to know what to search for and the relevance of the information so obtained. Data mining for business intelligence is the art of extracting automatically the required information and using the same for predictive analysis to give managements the right tools for efficient decision making.” street=”2905 East Point Street, Suite 91784″ city=”Atlanta” state=”Georgia” postalcode=”30344″ country=”US” email=”” phone=”404-939-5631″ ]

Most data mining is done with the use of software tools that use statistical techniques and mathematical algorithms to analyze the data obtained. The final product has to be one that does not require anything more than sound business sense to use. Data mining for business intelligence is used for telecommunications, financial services, customer relationship management, health care, e-commerce, and personalization of web sites, detection of fraud, text analysis, genetics, bioinformatics, direct marketing, consumer behavior and all forms of market research.


Online Data Entry and Data Mining Services


Many businesses use it for analyzing the working of its competitors. Data mining service providers use specific key work queries to enable search engines to lead them to the relevant material that they are looking for.


This can lead to millions of pages of information but a good service provider will have the required software that extracts the relevant information and puts it into databases that are useful to the business looking for this information.


Advantages of Data Mining in Various Businesses


That is the reason the data mining service provider needs to have a complete understanding of the requirements of the customer and the relevance of any information to their sphere of activities.


Data mining for business intelligence uses a number of techniques, and its actual use will depend on the type of data being sought. Data mining is a new way of working that is constantly evolving newer methods to make it more effective and useful for business. The techniques presently in use are:

• Clustering

• Classification

• Regression

• Association

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Data clusters are formed by some identifiable relationship which gives similarity to the data available. You can for instance identify sales data by relating it to a specific market.


The Need for Competitive Intelligence


Data can also be classified by using specific information that will have some bearing on the information being sought.


The method of regression is useful for data that has some sort of numerical information that can fit into mathematical formula used for the data mining. It is very useful for predictive analysis.


The association technique is popular and is used when relationships are able to link data from various sources, and can be useful to make predictions.


Data mining is a very key element in business intelligence that helps data available to be analyzed so that it assists managements to make key decisions and to plan future action to deal with market variations, competitors, sourcing of materials, developing new areas for operation and in general to help a business to grow in a planned way that is in tune with their long term objectives. The data is presented in ways that can guide the assessment of future policies and actions.

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