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Unit 1: Data Warehouse Practice




               (d)   Roll Up: Less detail, Quarter->Year                                        notes
               (e)   Drill Down: More detail, Quarter->Month

               (f)   Slice/Dice: Selection, Year=1999
               (g)   Drill Across: “Join”
          These  are  the  various  methods  used  for  getting  multidimensional  data  out  of  the  data
          warehouse.



              

             Case Study    fast food

                  he  Fast  Food  industry  is  highly  competitive,  one  where  a  very  small  change  in
                  operations can have a significant impact on the bottom line. For this reason, quick
             Taccess to comprehensive information for both standard and on-demand reporting
             is essential.
             Exclusive Ore designed and implemented a data warehouse and reporting structure to
             address this requirement for Summerwood Corporation, a fast food franchisee operating
             approximately  80  Taco  Bell  and  Kentucky  Fried  Chicken  restaurants  in  and  around
             Philadelphia.  The  Summerwood  Data  Warehouse  now  provides  strategic  and  tactical
             decision support to all levels of management within Summerwood.
             The data warehouse is implemented in Microsoft SQL Server 2000, and incorporates data
             from two principal sources:
             1.   Daily sales information automatically polled by the TACO system DePol utility.
             2.   Period based accounting information from the Dynamics (Microsoft Great Plains)
                 accounting database.
             This  data  is  automatically  refreshed  periodically  (or  on-demand  if  required)  and  is
             maintained historically over several years for comparative purposes.

             For reporting and analysis purposes, the data in the warehouse is processed into OLAP
             Cubes. The cubes are accessed through Excel by using BusinessQuery MD. Data can be
             analyzed (sliced and diced) by store, by company, by zone and area, by accounting year,
             quarter and period (as far back as 1996), and by brand and concept. The available cubes
             and some example analyses are shown below. While each represents an area of analytical
             focus, cross cube analysis is also possible.
             1.   PL Cube. Contains Profit & Loss, Cash Flow and EBIDTA statements for Summerwood.
                 Amounts can be viewed for any period as a period, quarter-to-date, year-to-date, or
                 rolling 13 period amount, and can be compared to either of two budgets, compared
                 to the corresponding period from the prior year, or as a percent of sales.
             2.   BS Cube. Contains the Balance Sheet for Summerwood. Balances can be viewed as
                 of any period, and can be compared to the preceding period or the corresponding
                 period in the prior year.
             3.   SalesMix Cube. Contains daily sales of all menu items in all stores. In addition to
                 the standard analysis parameters, this data can also be sliced and diced by brand, by
                 item category or by menu item, by calendar year, month and week, and by pricing
                 tier. This cube can be used to compute sales amounts and counts, costs and variance
                 from list price.
                                                                                Contd...




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