Sometimes one may want to see if there is a pattern between two different sets of data. For one to carry out the comparison of two different samples of processed data, document matching is usually necessary. In this article, the applications of this technique will get discussed in detail.
When one is doing business, one may be in too much a hurry such that identical information is entered into an invoice. If the invoice is allowed to pass through without being scrutinized by this technique, the matching data cannot be found. When this happens one party in a business transaction will gain an unlawful profit while the other will make a loss. To prevent this, this technique usually proves essential.
In the immigration department, this method is also utilized in flushing out individuals who may have used fake passports. Fake passports typically rely on real data which is usually skewed a little to confuse the computers. This method is often used to display matches between two passports in customs. Individuals using fake data are often spotted by a matching algorithm installed in computers of customs officials.
This technique is usually crucial in detecting plagiarism in written materials. If one tries to pass of unoriginal content as original writing, this method is commonly used to spot any matches with other documents that may have been submitted in the past. If the technique does not detect any matches with the information, it is being checked against a text can be labeled as an original.
To spot individuals who are using information of other people to apply for jobs, employers usually use this method of finding a match. If one, for example, has a fake degree or copied resume, matching is often applied to find if any other person may have presented similar information anywhere else. An individual with content that is not original can then be spotted by a potential employer, and their application denied.
Firms which have a lot of employees in different countries also use this technique to avoid duplication of roles. A company with foreign branches usually uses this technique to look for individuals who may have been assigned similar tasks all over the world. This usually improves efficiency since people found with duplicated tasks are often assigned new roles to avoid wastage of valuable resources.
Business enterprises also use this technology to profile customers. If different customers ask for the same services from a company, matching will be used to find consistency in the type of services that many customers want. This will help the management of an enterprise make better decisions when it comes to creating solutions and products. It may also plan to invest hugely in that particular item.
Another application of the technique is usually in marketing. Analysts assigned to the marketing department often use this similarity matrix to find trends in consumer behavior. Since matching can go through massive records at a go, identifying patterns is usually easy. This information is often used to improve the financial performance of a company by improving how the enterprise markets itself.
When one is doing business, one may be in too much a hurry such that identical information is entered into an invoice. If the invoice is allowed to pass through without being scrutinized by this technique, the matching data cannot be found. When this happens one party in a business transaction will gain an unlawful profit while the other will make a loss. To prevent this, this technique usually proves essential.
In the immigration department, this method is also utilized in flushing out individuals who may have used fake passports. Fake passports typically rely on real data which is usually skewed a little to confuse the computers. This method is often used to display matches between two passports in customs. Individuals using fake data are often spotted by a matching algorithm installed in computers of customs officials.
This technique is usually crucial in detecting plagiarism in written materials. If one tries to pass of unoriginal content as original writing, this method is commonly used to spot any matches with other documents that may have been submitted in the past. If the technique does not detect any matches with the information, it is being checked against a text can be labeled as an original.
To spot individuals who are using information of other people to apply for jobs, employers usually use this method of finding a match. If one, for example, has a fake degree or copied resume, matching is often applied to find if any other person may have presented similar information anywhere else. An individual with content that is not original can then be spotted by a potential employer, and their application denied.
Firms which have a lot of employees in different countries also use this technique to avoid duplication of roles. A company with foreign branches usually uses this technique to look for individuals who may have been assigned similar tasks all over the world. This usually improves efficiency since people found with duplicated tasks are often assigned new roles to avoid wastage of valuable resources.
Business enterprises also use this technology to profile customers. If different customers ask for the same services from a company, matching will be used to find consistency in the type of services that many customers want. This will help the management of an enterprise make better decisions when it comes to creating solutions and products. It may also plan to invest hugely in that particular item.
Another application of the technique is usually in marketing. Analysts assigned to the marketing department often use this similarity matrix to find trends in consumer behavior. Since matching can go through massive records at a go, identifying patterns is usually easy. This information is often used to improve the financial performance of a company by improving how the enterprise markets itself.
About the Author:
Find a summary of the advantages of document matching software and more info about an excellent program at http://www.advansysco.com/mail_document_matching.htm right now.
No comments:
Post a Comment