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.
One area where this technology is applied is in the business world. If one is collecting data related to business, there may be incidences when two matching sets of data may get entered in an invoice. To avoid mistakes, this technique is usually used to point out areas where there may be a double entry. This can prevent a client from overpaying a supplier for services provided.
Individuals who are entering a country without valid passports often distort some of the information on a real passport to make the fake one look real. A computer with a similarity algorithm is usually able to spot similarities between a false document and a real one. This is how authorities who are manning customs offices are able to detect illegals making an unlawful entry to a country.
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.
When writing job applications, there are some individuals who are too lazy to come up with their resumes. These fellows, therefore, rely on already existing data from other people to create their resumes. This application is usually used to flush out unoriginal data given by potential employees. A prospective employer can then identify an individual who does not like using their original ideas.
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.
Marketing analysts also use this application to identify patterns and trends. If many individuals are doing similar things, this method will ease the work for analyst since it will scrutinize billions of records in the real time and identify a trend. These trends are usually used by analysts to help their firms improve marketing. This usually improves business performance.
One area where this technology is applied is in the business world. If one is collecting data related to business, there may be incidences when two matching sets of data may get entered in an invoice. To avoid mistakes, this technique is usually used to point out areas where there may be a double entry. This can prevent a client from overpaying a supplier for services provided.
Individuals who are entering a country without valid passports often distort some of the information on a real passport to make the fake one look real. A computer with a similarity algorithm is usually able to spot similarities between a false document and a real one. This is how authorities who are manning customs offices are able to detect illegals making an unlawful entry to a country.
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.
When writing job applications, there are some individuals who are too lazy to come up with their resumes. These fellows, therefore, rely on already existing data from other people to create their resumes. This application is usually used to flush out unoriginal data given by potential employees. A prospective employer can then identify an individual who does not like using their original ideas.
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.
Marketing analysts also use this application to identify patterns and trends. If many individuals are doing similar things, this method will ease the work for analyst since it will scrutinize billions of records in the real time and identify a trend. These trends are usually used by analysts to help their firms improve marketing. This usually improves business performance.
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