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.
Some individuals are usually keen on entering a foreign country illegally. This often happens through the use of fake documentation. For false documentation to pass off as original some real data must be utilized. When this technique is applied to an algorithm specially made for customs authorities, matches between two different passports are easily detected preventing the entry of unauthorized persons to a country.
Another use of this technique is in checking for plagiarism. There are times when an individual may be tasked with an assignment and instead of relying on their originality, one may thinking of copying data belonging to another person on the internet. This method is usually used to spot matches in a text. Text that comes back as a match for material that is already available in any part of the world is often marked as copied.
Employers also find this technique particularly useful when they are screening new employees. Since some potential employees may be too lazy to come up with original resume manuscripts, employers usually use the data available to them to check for matches between submitted employee data and that that is already available. A match may indicate an employee is unoriginal in their work or they are impersonating another person.
Huge companies can easily give two employees the same task especially if the company has tentacles in other countries. Without a way of finding out what each employee is up to, vast resources can be assigned to solving the same task. With the similarity index, it is usually hard for this to happen since this technique will instantly display any conflicts that may appear in the job description of employees. This usually increases the total output of workers under the employ of a corporation.
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.
Some individuals are usually keen on entering a foreign country illegally. This often happens through the use of fake documentation. For false documentation to pass off as original some real data must be utilized. When this technique is applied to an algorithm specially made for customs authorities, matches between two different passports are easily detected preventing the entry of unauthorized persons to a country.
Another use of this technique is in checking for plagiarism. There are times when an individual may be tasked with an assignment and instead of relying on their originality, one may thinking of copying data belonging to another person on the internet. This method is usually used to spot matches in a text. Text that comes back as a match for material that is already available in any part of the world is often marked as copied.
Employers also find this technique particularly useful when they are screening new employees. Since some potential employees may be too lazy to come up with original resume manuscripts, employers usually use the data available to them to check for matches between submitted employee data and that that is already available. A match may indicate an employee is unoriginal in their work or they are impersonating another person.
Huge companies can easily give two employees the same task especially if the company has tentacles in other countries. Without a way of finding out what each employee is up to, vast resources can be assigned to solving the same task. With the similarity index, it is usually hard for this to happen since this technique will instantly display any conflicts that may appear in the job description of employees. This usually increases the total output of workers under the employ of a corporation.
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.
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