The first goal of data automation is to avoid mistakes in data entry by making the initial entering of the data as automatic as possible. Different situations require different methods and equipment.
A second goal of data automation is to avoid having to re-enter data to perform a different task with it.
For example, the old style cash register would add up your purchase and calculate the tax. The clerk entered the amounts by hand (the data entry part). Later the numbers off the store copy of the cash register tapes would have to be added up manually, or entered into a computer program (another data entry task). For an up-to-date inventory someone would have to go count all the things on the shelves (a third data entry task).
With modern data automation, using bar codes on every item in the store, a computer check-out register along with a bar code scanner will calculate the sale plus transfer the information directly to the computer that does the store bookkeeping plus adjust the inventory records by subtracting the items just sold. The human errors possible at each step of data entry are now avoided. Of course, there are still ways for errors to occur, just not as many. In addition, a new feature is available with computerized cash registers - a receipt that states the name of the item bought as well as the price.
Scanner |
![]() Flat bed scanners open wide enough to allow you to lay a document or book flat on the glass surface. You can even make a scan of your hand!
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Bar-Code Scanner |
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Magnetic Strip Reader |
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Card Chip Reader |
A credit card with a computer chip stays in the reading slot throughout the transaction. The chip on the card (!) generates a unique transaction code each time you use it. This makes it harder to steal your credit card information since the store never sees that information. EMV (Europay, Mastercard, Visa) is the technical standard that these chips use. |
NFC Reader |
Near Field Communication devices need to be very close to the credit card, ID card, or smartphone to get the information needed. This might be for a credit card transaction with a smartphone app like Apple Pay or Android Pay, or to unlock a secured door or your car with a chipped key chain fob.
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RFID |
Examples:
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Devices for Reading Special Characters |
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Bar Codes |
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QR Codes |
The example is for this site, www.jegsworks.com. A QR app on a smart phone takes a photo of the QR code, translates it, and then loads the web page. Sweet! |
Optical Marks |
![]() A special machine "reads" the marks. Woe to the student who doesn't get those bubbles colored in correctly! |
Magnetic Ink |
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Optical Characters |
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Optical Character Recognition: This software takes a scanned image of a document and converts the characters in the image into computer characters. The document can now be edited with a word processor. This is a very tricky process. Documents must be carefully checked for wrong conversions. If the original print was not very crisp and clean, errors are very likely. Manually checking for proper conversion is necessary. These programs are getting really good if they have a clear scan to work with.