PCM Stage 0

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ã SAP AG 2009 April 2009 Release 11 document.xls 07/19/2022 PCM Stage Purpose In this section indicated the prupose of the accelerator…….. Project Identification Project Name Project Number Project Type Customer Name Customer Number Project Start.Finish Project Sponsor Program Manager Project Manager (Customer) Project Manager Service Partner(s) Project Manager (Service Partner)

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PCM Stage 0

Transcript of PCM Stage 0

Estimation Tool Stage 0 - ROM

Title of the acceleratorPCM StagePurposeIn this section indicated the prupose of the accelerator..Project IdentificationProject NameProject NumberProject TypeCustomer NameCustomer NumberProject Start.FinishProject SponsorProgram ManagerProject Manager (Customer)Project ManagerService Partner(s)Project Manager (Service Partner)

&L&"Symbol,Regular"&"Arial,Regular" SAP AG 2009April 2009 Release&C&N&R&F&DThe project identififcation table is optional. It is recommended that this be inculded should it be helpful for the development of the final deliverable.

Stage 0 - ROMPCM Estimation Tool - Stage 0 - ROMHighly ComplexComplexMediumLowHelpData Sourcing (where the data is coming from):Phyiscal Environments (Dev, Test, Stage, Prod):Years of Historical Data:Dimension VolumesModel Conversion vs. New DesignProject TypeData Warehouse requiredInput/Report TemplatesBusiness LogicData QualityProcess ChangeClient AvailabilityApproximateHoursFTERough Order of Magniture:8401.75

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DictionaryPCM Estimation ToolHighly ComplexComplexMediumLowData Sourcing (where the data is coming from):>= 7 Source Systems4-6 Source Systems2-3 Source Systems1 Source SystemPhyiscal Environments (Dev, Test, Stage, Prod):>1 Application Sets3-5 (Dev, Staging, QA, Prod, Disaster Recovery, RDMS for Transaction Costing)1 Application Sets3-5 (Dev, Staging, QA, Prod, Disaster Recovery, RDMS for Transaction Costing )1 Application Set2 (Dev, Prod)1 Application Set1 (Prod)Years of Historical Data:>=5 Years of Historical Data3 - 4 Years of Historical Data1 - 2 Years of Historical Data0 - 1 Years of Historical DataDimenison Volumes:Enterprise level volumes (extremely large volumes)Company level volumes (large volumes)Business Unit level volumes (low to medium volumes)Department level volumes (low volumes)Model Conversion vs. New Design (conversion includes clients moving from Metify, Excel, or other software packages)New Design including definition of cost assignment methodologiesNew Design levereraging existing cost assignment methodologiesConversion with changes to methodology in order to leverage best practices or PCM featuresStraight conversion from existing model to PCMProject TypeTime Based ABC, Transaction CostingForecasting, Budgeting, Planning (based on ABC)Forecasting, Budgeting, Planning (not based on ABC)Traditional Activity Based CostingData Warehouse requiredExport model results and structure to DW with complex report development provided by PCM teamExport model results to DW with simple report development provided by PCM teamExport model results to DW (no report development required by PCM team)NoneInput/Report Templates>= 21 Input Templates11 - 20 Input Templates5 - 10 Input Templates< 5 Input TemplatesBusiness LogicMultiple embedded If Then logic, dimension structure evaluation, Text manipulation, Cross Model rules.Conditional logic relating to different versions, periods, etc. Use of PCM Restrict functions to limit calculations to specific dimension members.Simple Functions, add, subtract, multiple, divide. Simple references to other cellsNone (PCM ABC assignments only)Data QualityData creation required in addition to major scrubbing. Staging tables required to support creation of PCM load ready dataMajor scrubbing required. Staging tables required to support creation of PCM load ready dataMinimal scrubbing requiredNo scrubbing requiredProcess ChangeMajor OverhaulOverhaulSome ImprovementNoneClient AvailabilityNot involved30 - 60 Percent60 - 99 Percent100 Percent

ControlControl SheetAnswerTotalHighly ComplexComplexMediumLowData Sourcing (where the data is coming from):14751000100011Phyiscal Environments (Dev, Test, Stage, Prod):10751000100011Years of Historical Data:20751000100011Dimension Volume201081000100011Model Conversion vs. New Design14741000100011Project Type14751000100011Data Warehouse required10751000100011Input/Report Templates10741000100011Business Logic20951000100011Data Quality10751000100011Process Change14741000100011Client Availability10741000100011Total12Hours840FTE1.75Hours LegendPeopleWeeksHoursLOW1.7512840Medium2161280Complex3242880Highly Complex4325120