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Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process [ 1 ] and is "one of the important basic" [ 2 ] tasks needed when no machine-readable version of the information is readily available for planned computer-based analysis or processing.
The numeric entry or 10-key speed is a measure of one's ability to manipulate the numeric keypad found on most modern separate computer keyboards. It is used to measure speed for jobs such as data entry of number information on items such as remittance advice, bills, or checks, as deposited to lock boxes. It is measured in keystrokes per hour ...
A data entry clerk. A data entry clerk, also known as data preparation and control operator, data registration and control operator, and data preparation and registration operator, is a member of staff employed to enter or update data into a computer system. [1] [2] Data is often entered into a computer from paper documents [3] using a keyboard ...
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Two-pass verification, also called double data entry, is a data entry quality control method that was originally employed when data records were entered onto sequential 80-column Hollerith cards with a keypunch. In the first pass through a set of records, the data keystrokes were entered onto each card as the data entry operator typed them.
Double-entry bookkeeping, also known as double-entry accounting, is a method of bookkeeping that relies on a two-sided accounting entry to maintain financial information. . Every entry to an account requires a corresponding and opposite entry to a different acco
In the first commercial electronic data processing Hollerith machines were used to compile the data accumulated in the 1890 U.S. Census of population. [4] Hollerith's Tabulating Machine Company merged with two other firms to form the Computing-Tabulating-Recording Company, later renamed IBM. The punch-card and tabulation machine business ...
Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...