Page 86 - Accounting Best Practices
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                                4–8  Automatically Check Errors during Invoice Date Entry
                                other problem is that the most efficient EDI systems require some automation.
                                A standard EDI system requires one to manually enter all transactions, as well
                                as manually extract them from the EDI mailbox and keypunch them into the
                                receiving computer. To fully automate the system, a company must have its
                                software engineers program an interface between the accounting computer sys-
                                tem and the EDI system, which can be an expensive undertaking. Without the
                                interface, an EDI system is really nothing more than a fancy fax machine. Thus,
                                installing a fully operational EDI system is usually limited to transactions with
                                high-volume customers and requires a considerable programming expense to
                                achieve full automation.
                                        Cost:                 Installation time:


                                4–8 AUTOMATICALLY CHECK ERRORS DURING
                                    INVOICE DATA ENTRY

                                Errors during the data-entry phase of creating an invoice can result in a variety of
                                downstream problems. For example, an incorrect billing address on an invoice
                                means that the customer will never receive it, which means that the collections
                                staff must send a new invoice copy. Also, if the quantity, product description, or
                                price is entered incorrectly, the customer may have a good reason for not paying
                                the bill. If this happens, the collections staff will have to get involved to work out
                                the reason for nonpayment and negotiate extra payments (if possible) by customers.
                                All of these problems are exceptions and require very large amounts of time to
                                research and fix.
                                   A very useful best practice is to prevent as many data-entry problems in
                                advance as possible by using computerized data-checking methods. For example,
                                a field for zip codes can only accept five-digit or nine-digit numbers, which pre-
                                vents the entry of numbers of an unusual length. The field can also be tied to a file
                                of all cities and states, so that entering a zip code automatically fills in the city and
                                state fields. Also, prices of unusual length can be automatically rejected, or prices
                                can be automatically called up from a file that is linked to a product number. Sim-
                                ilarly, product descriptions can be automatically entered if the product number is
                                entered. An example of a ‘‘smart” data-entry system is one that flags part numbers
                                that are being entered for an existing customer for the first time. The computer can
                                check the part number entered against a file of items previously ordered by a cus-
                                tomer and see if there is a chance that the part being ordered might not be the cor-
                                rect one. There can also be required fields that must have a valid entry or else the
                                invoice cannot be processed; a good example is the customer purchase order num-
                                ber field, required by many customers, or else they will not pay the invoice. By
                                including these automatic error-checking and expert systems into the data-entry
                                software, it is possible to reduce the number of data-entry errors.
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