Page 308 - Accounting Best Practices
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                                14–5  Use Data Warehouse for Report Distribution
                                   of business that the new chart of accounts is quite unsuitable for recording
                                   information, requiring the accounting staff to ‘‘shoehorn” data into accounts
                                   that do not agree exactly with the account descriptions. Many companies
                                   find this approach to be much too difficult and expensive to be worthwhile
                                   and will use one of the preceding options instead.
                                   Thus, there is quite a range of options available for converting the chart of
                                accounts of a subsidiary to that of the parent. The exact option taken will depend on
                                the level of effort and resources that the parent is willing to put into this effort. Some
                                of the easier options are quite as reliable as the most difficult, making them worthy
                                of careful consideration when picking from the range of options presented here.

                                        Cost:                 Installation time:


                                14–5 USE DATA WAREHOUSE FOR REPORT DISTRIBUTION

                                Larger organizations, especially those with multiple locations or subsidiaries,
                                commonly expend a great deal of time compiling and distributing reports to
                                employees.  This problem arises because each location frequently has its own
                                general ledger, from which the information is drawn. If any of the information
                                from multiple locations is to be combined to create summary-level reports, then
                                either a custom interface must be built to combine the data or else it must be man-
                                ually combined and inserted into a new report.
                                   An excellent method for avoiding this trouble is to dump selected data from
                                all of the general ledgers into a central data warehouse. This involves the use of
                                many customized interfaces that frequently pull the data out of outlying locations
                                and push it into the data warehouse, so that it contains only the most current
                                information.  Then a set of reporting programs frequently (perhaps every few
                                minutes, depending on how it would downgrade system performance) accesses
                                the data warehouse to refresh the information stored in a set of standard reports,
                                which in turn are made available to employees through the company intranet.
                                   This elaborate shifting and recompiling of data results in very “fresh” data
                                that employees can use at once, and takes the accounting department completely
                                out of the business of repetitively compiling reports—though it may still be asked
                                to create new reports for posting to the intranet site. A key change after this sys-
                                tem is installed is that the accounting staff will find itself spending much more
                                time cleaning up the data that goes into the data warehouse. The reason is that
                                manually compiled reports give the accounting staff time to review the data and
                                fix any obvious anomalies before they reach the user; however, this automated
                                reporting system does not allow the accounting staff this luxury, so now its focus
                                must change toward ensuring that the data is always correct.
                                   A different approach to the data warehouse is noted in the “Use the General
                                Ledger as a Data Warehouse” section later in this chapter, where one can see
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