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342                                                 PART 3      Managing with the MRP System


           FIGURE 20-7

           S&OP operational                              Strategic
           model.              Annual Change             Planning             Annual Change

                                                         Business
                                                           Plan


                                                   Reconcilliation Process


                                                          S&OP


                                                         Tactical
                                 Change                  Planning                       Change


                                                        Operational
                                                         Planning






        KNOWLEDGE AND KNOW-HOW
        VERSUS DROWNING IN DATA
        Any implementation puts pressure on the need for management information and not
        transactional detail. We designed a typical management information spreadsheet show-
        ing the importance of integrating volumes and financials with underpinning qualitative
        information on assumptions, changes to assumptions, and decision support. This format
        has been proven as a powerful means of communication and ensuring consistent under-
        standing of the story behind the numbers. Enhanced by today’s powerful information
        technology, this allows succinct management information to be available in any environ-
        ment for fast, effective decision making (Figure 20-8).
             Our experience in developing S&OP into a business management process has led to
        some interesting findings suggesting that aggregating data alone does not necessarily
        give good management information. This is sometimes called drowning in data but starv-
        ing for information.
             Our emphasis is on roughly right rather than precisely wrong to help businesses
        avoid the trap of projecting forward two years’ worth of detail at the SKU level. The
        detailed approach commonly found in statistical forecasting software leads to an answer
        that looks about right but cannot be understood. Thousands of minor changes within the
        black box are not visible at a higher level. Management has no idea why the latest view
        has changed or whether the latest changes to plans have been incorporated. Instead,
        management is told that the system says, “This is the answer; you have to believe it!” A
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