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Transcript of BI Blueprint Planet Retail
SAP BI Blueprint
Business Blueprint BIW ( Version 1.0)
Business Blueprint
SAP BIW
Version 1.0
SAP ModuleCore Team - PRConsultants - PricewaterhouseCoopers
POS(Suvendu Sahu)(Akshat Bal Dikshit) (Manish Nehra)
SD & MM(Kumar Saurabh)(Akshat Bal Dikshit) (Manish Nehra)
FI(Suvendu Sahu)(Akshat Bal Dikshit) (Manish Nehra)
Arun Attri(Planet Retail)Vineet Patni(Planet Retail)
Authors:
Manish Nehra PwC
Akshat Bal Diskhit PwCRinkle Verma Planet Retail
TABLE OF CONTENTS61POSDM Module (Reporting Requirement Overview)
81.1Tender Report
81.1.1Measures
81.1.2Drill-downs
81.1.3Filters
81.1.4Time granularity
91.1.5Sample layout
101.2Hour Band Analysis
101.2.1Measures
101.2.2Drill-downs
101.2.3Filters
101.2.4Time granularity
111.2.5Sample Layout
121.3Bill Wise Analysis
121.3.1Measures
131.3.2Drill-downs
131.3.3Filters
141.3.4Time granularity
141.3.5Sample Layout
151.4Return Report
151.4.1Measures
151.4.2Drill-downs
151.4.3Filters
161.4.4Time granularity
161.4.5Sample Layout
171.5Balance Credit Note
171.5.1Measures
171.5.2Drill-downs
171.5.3Filters
171.5.4Time granularity
181.5.5Sample Layout
191.6Store Credit Issue/Redeem Details
191.6.1Measures
191.6.2Drill-downs
191.6.3Filters
191.6.4Time granularity
201.6.5Sample Preview
211.7City Wise Mall Wise Sales Report
211.7.1Measures
211.7.2Drill downs
211.7.3Filters
221.7.4Time granularity
221.7.5Sample Preview
231.8LYB Customer Tracking
231.8.1Measures
231.8.2Drill-downs
231.8.3Filters
241.8.4Time granularity
241.8.5Sample Preview
251.9LYB Usage Report
251.9.1Measures
251.9.2Drill-downs
251.9.3Filters
251.9.4Time granularity
261.9.5Sample Layout
271.10LYB Kit Sale Report
271.10.1Measures
271.10.2Drill-downs
271.10.3Filters
271.10.4Time granularity
281.10.5Sample Preview
291.11LYB Discount Report
291.11.1Measures
291.11.2Drill-downs
291.11.3Filters
291.11.4Time granularity
301.11.5Sample Preview
311.12LYB Kit Sale Report-Missing LYB No
311.12.1Measures
311.12.2Drill-downs
311.12.3Filters
321.12.4Time granularity
331.13Reference Invoice No Details
331.13.1Measures
331.13.2Drill-downs
341.13.3Filters
341.13.4Time granularity
341.13.5Sample Preview
351.14LYB Kit Sale Report-Missing LYB No 1
351.14.1Measures
351.14.2Drill-downs
351.14.3Filters
351.14.4Time granularity
361.14.5Sample Preview
371.15Credit Note Tracking Report
371.15.1Measures
371.15.2Drill-downs
371.15.3Filters
371.15.4Time granularity
371.15.5Sample Preview
392FI Module (Reporting Requirement Overview)
412.1Performance Report
412.1.1Measures
422.1.2Drill-downs
422.1.3Filters
422.1.4Time granularity
432.1.5Sample Layout
442.2Sales to Rent Ratio
442.2.1Measures
442.2.2Drill-downs
442.2.3Filters
452.2.4Time granularity
452.2.5Sample Layout
462.3Ratio Report
462.3.1Measures
472.3.2Drill-downs
482.3.3Filters
482.3.4Time granularity
482.3.5Sample Layout
503SD & MM Module (Reporting Requirement Overview)
573.1Inventory Ageing - Warehouse
573.1.1Measures
593.1.2Drill-downs
603.1.3Filters
603.1.4Time granularity
603.1.5Sample Layout
613.2Inventory Ageing
613.2.1Measures
643.2.2Drill-downs
643.2.3Filters
653.2.4Time granularity
653.2.5Sample Layout
663.3Stock Overview
663.3.1Measures
663.3.2Drill-downs
673.3.3Filters
673.3.4Time granularity
673.3.5Sample Layout
683.4Best Seller
683.4.1Measures
683.4.2Drill-downs
693.4.3Filters
693.4.4Time granularity
693.4.5Sample Layout
703.5Daily Sales Report
703.5.1Measures
703.5.2Drill-downs
703.5.3Filters
713.5.4Time granularity
713.5.5Sample Layout
723.6Category Contribution
723.6.1Measures
723.6.2Drill-downs
723.6.3Filters
733.6.4Time granularity
733.6.5Sample Layout
743.7Best Seller - Qty Based
743.7.1Measures
743.7.2Drill-downs
753.7.3Filters
753.7.4Time granularity
753.7.5Sample Layout
763.8Landed Cost Report
763.8.1Measures
763.8.2Drill-downs
773.8.3Filters
773.8.4Time granularity
773.8.5Sample Layout
783.9Gross Margin
783.9.1Measures
783.9.2Drill-downs
793.9.3Filters
793.9.4Time granularity
793.9.5Sample Layout
803.10OTB
803.10.1Measures
803.10.2Drill-downs
803.10.3Filters
813.10.4Time granularity
813.10.5Sample Layout
823.11Catalogue Contribution
823.11.1Measures
823.11.2Drill-downs
823.11.3Filters
833.11.4Time granularity
833.11.5Sample Layout
843.12Sales Superset 1
843.12.1Measures
853.12.2Drill-downs
853.12.3Filters
863.12.4Time granularity
863.12.5Sample Layout
873.13Sales Set 2
873.13.1Measures
873.13.2Drill-downs
873.13.3Filters
883.13.4Time granularity
883.13.5Sample Layout
894GAPS
894.1POS
894.2FI
894.3SD & MM
915Glossary
1 POSDM Module (Reporting Requirement Overview)AS IS Phase:During the as-Is Study Following reports were discussed:
S.NoName of the Report
1GV Tracking Report
2Credit Note Tracking
3Means of Payment Report
4DSR Report
5Inventory & Payment Mode Summary
6Cash Deposit Pick-up
7Return Report
8Discount Report
9Sales Report - Retail
Total = 9
Summary of Report Rationalization & Mapping of As-Is / To-BeAS-ISTO-BE
S.NoName of the ReportName of the Report
1GV Tracking Report Not Feasible
2Credit Note TrackingCredit Note Tracking
3Means of Payment ReportTender Report
4DSR ReportInvoice Wise DSR
5Inventory & Payment Mode SummaryPayment Mode covered in DSR and Inventory in SD-MM report
6Cash Deposit Pick-upNot Feasible
7Return ReportSales Return Details
8Discount ReportCovered in DSR
9Sales Report - RetailCovered in DSR & SD Sales Reports
Total = 9Hour Band Analysis
Bill Wise Analysis
Store Credit Note Issue/Redeem
Balance Store Credits
Reference Invoice No. Details
LYB Customer Tracking
LYB Usage
LYB Kit Sale
LYB Discount
LYB Kit Sale-Missing LYB Number
City Wise Mall Wise Sales Report
Total = 15
Final To- Be List TO-BE
S.NoName of the Report
1Credit Note Tracking
2Tender Report
3Invoice Wise DSR
4Sales Return Details
5Hour Band Analysis
6Bill Wise Analysis
7Store Credit Note Issue/Redeem
8Balance Store Credits
9Reference Invoice No. Details
10City Wise Mall Wise Sales Report
Total = 10
New Requirements Captured After Requirement Gathering Phase
TO-BE
S.NoName of the Report
1LYB Customer Tracking
2LYB Usage
3LYB Kit Sale
4LYB Discount
5LYB Kit Sale-Missing LYB Number
Total = 5
1.1 Tender Report
1.1.1 Measures
BW Name*DescriptionAggregation method
Calculation
0RPA_TATTender ValueStandard AggregationRestricted
1.1.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0RPA_PAIInvoice NumberKey & TextNoUser Input
0RT_LOCATIOStoreKey & TextNoUser Input
0CALDAYCalendar DayKey & TextNoUser Input
0RPA_TCDMeans of PaymentKey & TextNoUser Input
1.1.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0RPA_TCDMeans of PaymentCharacteristic Value VariableYes
0CALDAYCalendar DayCharacteristic Value VariableYesYes
0RT_LOCATIOStoreCharacteristic Value VariableYesYes
1.1.4 Time granularity
FORMCHECKBOX
Daily
FORMCHECKBOX
Weekly
FORMCHECKBOX
Monthly
FORMCHECKBOX
Quarterly
FORMCHECKBOX
Yearly
FORMCHECKBOX
Other: 1.1.5 Sample layout
1.2 Hour Band Analysis
1.2.1 Measures
BW Name*DescriptionAggregation method
Calculation
0RPA_SATNet Sales ValueStandard AggregationStandard
0RPA_RLQSales QtyStandard AggregationNODIM([0RPA_RLQ] Sales Qty
0RPA_CNRNumber of InvoicesStandard AggregationStandard
1.2.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0RT_LOCATIOStoreKey & TextNoUser Input
0CALDAYCalendar DayKey & TextNoUser Input
1.2.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0CALDAYCalendar DayCharacteristic Value VariableYesYes
0RT_LOCATIOStoreCharacteristic Value VariableYesYes
1.2.4 Time granularity
FORMCHECKBOX
Daily
FORMCHECKBOX
Weekly
FORMCHECKBOX
Monthly
FORMCHECKBOX
Quarterly
FORMCHECKBOX
Yearly
FORMCHECKBOX
Other: 1.2.5 Sample Layout
1.3 Bill Wise Analysis
1.3.1 Measures
BW Name*DescriptionAggregation method
Calculation
Text Variable0) AND ([0RPA_TA] Tender Value [VAR_20081010080528] Bill Value 1) * [0RPA_TAT] Tender Value * 0
Text Variable [VAR_20081010080528] Bill Value1) AND ([0RPA_TAT] Tender Value 730) - Rec(366-730) - Rec(181-365))) * Rec(0-90) + ((Rec(0-90) >= (Issue Total - Rec(>730) - Rec(366-730) - Rec(181-365) - Rec(91-180)) AND (Rec(91-180) < (Issue Total - Rec(181-365) - Rec(366-730) - Rec(>730))) * (Rec(0-90) + Rec(91-180) + (Rec(181-365) + Rec(366-730) + Rec(>730) - Issue Total))
CKFStock Val MRP (0-90)Standard AggregationStock Qty (0-90) * MRP
CKFStock Qty (91-180)Standard Aggregation(Issue Total ==0) * Rec(91-180) + (Issue Total 0) * ((Rec(>730) >= Issue Total) * Rec(91-180) + (Rec(366-730) >= (Issue Total - Rec(>730)) * Rec(91-180) + (Rec(181-365) >= (Issue Total - Rec(>730) - Rec(366-730))) * Rec(91-180) + ((Rec(91-180) >= (Issue Total - Rec(>730) - Rec(366-730) - Rec(181-365))) AND (Rec(181-365) < (Issue Total - Rec(366-730) Rec(>730))) * (Rec(91-180) + Rec(181+365)+ Rec(366-730) + Rec(>730) - Issue Total) + (Rec(0-90) >= (Issue Total - Rec(>730) - Rec(366-730) - Rec(181-365) - Rec(91-180))*0)
CKFStock Val MRP (91-180)Standard AggregationStock Qty (91-180) * MRP
CKFStock Qty (181-365)Standard Aggregation(Issue Total ==0) * Rec(181-365) + (Issue Total 0) * ((Rec(= Issue Total) * Rec(181-365) + (Rec(366-730) >= (Issue Total - Rec(>730))) * Rec(181-365) + ((Rec(181-365) >= (Issue Total - Rec(>730) - Rec(>366-730))) AND (Rec(366-730) < (Issue Total - Rec(>730)))) * (Rec(181-365) + Rec(366-730) + Rec(>730) Issue Total) + (Rec(91-180) >= (Issue Total - Rec(>730) - Rec(366-730) - Rec(181-365))) * 0 + (Rec(0-90) >= (Issue Total - Rec(>730) - Rec(366-730) - Rec(181-365) - Rec(91-180))) * 0)
CKFStock Val MRP (181-365)Standard AggregationStock Qty (181-365) * MRP
CKFStock Qty (366-730)Standard Aggregation(Rec(>730) >= Issue Total) * Rec(366-730) + ((Rec(366-730) >= (Issue Total - Rec(>730))) AND (Rec(>730) < Issue Total)) * (Rec(366-730) + Rec(>730) - Issue Total) + (Rec(181-365) >= (Issue Total - Rec(>730) - Rec(366-730))) * 0 + (Rec(91-180) >= (Issue Total - Rec(>730) - Rec(366-730) - Rec(181-365))) * 0 + (Rec(0-90) >= (Issue Total - Rec(>730) - Rec(366-730) - Rec(181-365) - Rec(91-180))) * 0
CKFStock Val MRP (366-730)Standard AggregationStock Qty (366-730) * MRP
CKFStock Qty (>730)Standard Aggregation(Rec(>730) >= Issue Total) * (Rec(>730) - Issue Total) + (Rec(366-730) >= (Issue Total - Rec(>730))) * 0 + (Rec(181-365) >= (Issue Total - Rec(>730) - Rec(366-730))) * 0 + (Rec(91-180) >= (Issue Total - Rec(>730) - Rec(181-365))) *0 + Rec(0-90) >= (Issue Total - Rec(>730) - Rec(366-730) - Rec(181-365) - Rec(91-180))) * 0
CKFStock Val MRP (>730)Standard AggregationStock Qty (>730) * MRP
Stock Qty (0-90)
Stock Qty (91-180)
Stock Qty (181-365)
Stock Qty (366-730)
Stock Qty (>730)
3.1.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0CALDAYCalendar DayKey & TextNoUser Input
0MATERIAL_0MATL_TYPEBrandKey & TextNoUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextNoUser Input
0MATERIAL_0MATL_GROUPMerchandise CategoryKey & TextNoUser Input
0MATERIAL_ZAGENCYAgencyKey & TextNoUser Input
0MATERIAL_ZDEPMNTDepartment
0PLANTPlantKey & TextYesUser Input
0MATERIALMaterialKey & TextYesUser Input
3.1.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0MATERIALMaterialCharacteristic Value VariableYesOptional
0PLANTPlantCharacteristic Value VariableYesOptional
3.1.4 Time granularity
FORMCHECKBOX
Daily
FORMCHECKBOX
Weekly
FORMCHECKBOX
Monthly
FORMCHECKBOX
Quarterly
FORMCHECKBOX
Yearly
FORMCHECKBOX
Other: 3.1.5 Sample Layout
3.2 Inventory Ageing
3.2.1 Measures
BW Name*DescriptionAggregation method
Calculation
CKFValuated Stock QtyStandard AggregationReceipt Total Issue Total
CKFStk Qty (0-90)Standard Aggregation(Issue Total ==0) * Rec(0-90) + (Issue Total0) * ((Rec(>365) >= Issue Total) * Rec(0-90) + (Rec(181-365) >= (Issue Total - Rec(>365)) * Rec(0-90) + (Rec(91-180) >= (Issue Total - Rec(>365) - Rec(181-365))) * Rec(0-90) + ((Rec(0-90) >= (Issue Total - Rec(>365) - Rec(181-365) - Rec(91-180))) AND (Rec(91-180) < (Issue Total - Rec(181-365) - Rec(>365)))) * (Rec(0-90) + Rec(91-180) + (Rec(181-365) + Rec(>365) - Issue Total))
CKFStk Val (0-90)Standard Aggregation(Issue Val Total ==0) * RecVal(0-90) + (Issue Val Total0) * ((RecVal(>365) >= Issue Val Total) * RecVal(0-90) + (RecVal(181-365) >= (Issue Val Total - RecVal (>365)) * RecVal (0-90) + (RecVal(91-180) >= (Issue Val Total - RecVal(>365) - RecVal(181-365))) * RecVal(0-90) + ((RecVal(0-90) >= (Issue Val Total - RecVal(>365) - RecVal(181-365) - RecVal(91-180))) AND (RecVal(91-180) < (Issue Val Total - RecVal(181-365) - RecVal(>365)))) * (RecVal(0-90) + RecVal(91-180) + (RecVal(181-365) + RecVal (>365) - Issue Val Total))
CKFStk Val MRP (0-90)Standard AggregationStk Qty (0-90) * MRP
CKFStk Qty (91-180)Standard Aggregation(Rec(>365) >= Issue Total) * Rec(91-180) + (Rec(181-365) >= (Issue Total - Rec(>365))) * Rec(91-180) + ((Rec(91-180) >= (Issue Total - Rec(>365) - Rec(181-365))) AND (Rec(181-365) < (Issue Total - Rec(>365)))) * (Rec(91-180) + Rec(181+365) + Rec(>365) - Issue Total) + (Rec(0-90) >= (Issue Total - Rec(>365) - Rec(181-365) - Rec(91-180))) * 0
CKFStk Val (91-180)Standard Aggregation(RecVal(>365) >= Issue Val Total) * RecVal(91-180) + (RecVal(181-365) >= (Issue Val Total - RecVal(>365))) * RecVal(91-180) + ((RecVal(91-180) >= (Issue Val Total - RecVal(>365) - RecVal(181-365))) AND (RecVal(181-365) < (Issue Val Total - RecVal(>365)))) * (RecVal(91-180) + RecVal(181+365) + RecVal(>365) - Issue Val Total) + (RecVal(0-90) >= (Issue Val Total - RecVal(>365) - RecVal(181-365) - RecVal(91-180))) * 0
CKFStk Val MRP (91-180)Standard AggregationStk Qty (91-180) * MRP
CKFStk Qty (181-365)Standard Aggregation(Rec(>365) >= Issue Total) * Rec(181-365) + ((Rec(181-365) >= (Issue Total - Rec(>365))) AND (Rec(>365) < (Issue Total)) * (Rec(181-365) + Rec(>365) - Issue Total) + (Rec(91-180) >= (Issue Total - Rec(>365) - Rec(181-365))) * 0 + (Rec(0-90) >= (Issue Total - Rec(>365) - Rec(181-365) - Rec(91-180))) * 0
CKFStk Val (181-365)Standard Aggregation(RecVal(>365) >= Issue Val Total) * RecVal(181-365) + ((RecVal(181-365) >= (Issue Val Total - RecVal(>365))) AND (RecVal(>365) < (Issue Val Total)) * (RecVal(181-365) + RecVal(>365) - Issue Val Total) + (RecVal(91-180) >= (Issue Val Total - RecVal(>365) - RecVal(181-365))) * 0 + (RecVal(0-90) >= (Issue Val Total - RecVal(>365) - RecVal(181-365) - RecVal(91-180))) * 0
CKFStk Val MRP (181-365)Standard AggregationStk Qty (181-365) * MRP
CKFStk Qty (>365)Standard Aggregation(Rec(>365) >= Issue Total) * Rec(>365) - Issue Total) + (Rec(181-365) >= (Issue Total - Rec(>365))) * 0 + (Rec(91-180) >= (Issue Total - Rec(>365) - (Rec(181-365))) * 0 + (Rec(0-90) >= (Issue Total - Rec(>365) - Rec(181-365) - Rec(91-180))) * 0
CKFStk Val (>365)Standard Aggregation(RecVal(>365) >= Issue Val Total) * RecVal(>365) - Issue Val Total) + (RecVal(181-365) >= (Issue Val Total - RecVal(>365))) * 0 + (RecVal(91-180) >= (Issue Val Total - RecVal(>365) - (RecVal(181-365))) * 0 + (RecVal(0-90) >= (Issue Val Total - RecVal(>365) - RecVal(181-365) - RecVal(91-180))) * 0
CKFStk Val MRP (>365)Standard AggregationStk Qty (>365) * MRP
Stock Qty (0-90)
Stock Value (0-90)
Stock Qty (91-180)
Stock Value (91-180)
Stock Qty (181-365)
Stock Value (181-365)
Stock Qty (>365)
Stock Value (>365)
3.2.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0CALDAYCalendar DayKey & TextNoUser Input
0MATERIAL_0MATL_TYPEBrandKey & TextNoUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextNoUser Input
0MATERIAL_0MATL_GROUPMerc CategoryKey & TextNoUser Input
0MATERIAL__ZAGENCYAgencyKey & TextNoUser Input
0MATERIAL__ZDEPMNTDepartmentKey & TextNoUser Input
0PLANTPlantKey & TextYesUser Input
0MATERIALMaterialKey & TextYesUser Input
3.2.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0MATERIALMaterialCharacteristic Value VariableYesOptional
0PLANTPlantCharacteristic Value VariableYesOptional
0MATERIAL__0MATL_TYPEBrandCharacteristic Value VariableYesOptional
0MATERIAL__ZMATCATMaterial GroupCharacteristic Value VariableYesOptional
3.2.4 Time granularity
FORMCHECKBOX
Daily
FORMCHECKBOX
Weekly
FORMCHECKBOX
Monthly
FORMCHECKBOX
Quarterly
FORMCHECKBOX
Yearly
FORMCHECKBOX
Other: 3.2.5 Sample Layout
3.3 Stock Overview
3.3.1 Measures
BW Name*DescriptionAggregation method
Calculation
VAR_20081217153605MRPStandard Aggregation[VAR_20081217153605] MRP
CKFMAPStandard Aggregation[0RECVS_VAL] ValStkRecValue / NODIM [0RECTOTSTCK] Receipt Ttl Stk Till Date
RKFOpening Stock QtyStandard AggregationRestricted
RKFOpening Stock ValueStandard AggregationRestricted
RKFReceipt QtyStandard AggregationRestricted
RKFReceipt Qty ValueStandard AggregationRestricted
RKFSales QtyStandard AggregationRestricted
RKFSales Qty ValueStandard AggregationRestricted
RKFClosing Stock QtyStandard AggregationRestricted
RKFClosing Stock ValueStandard AggregationRestricted
RKFReceipt Ttl Stk Till DateStandard AggregationRestricted
CKF% Sell ThroughStandard Aggregation[0ISSTOCK] Sales Qty %A [0RECTOTSTCK] Receipt Ttl Stk Till Date
3.3.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0CALDAYCalendar DayKey & TextNoUser Input
0MATERIAL_0MATL_TYPEBrandKey & TextNoUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextNoUser Input
0MATERIAL_0MATL_GROUPMerchandise CategoryKey & TextNoUser Input
0MATERIAL__ZDEPMNTDepartmentKey & TextNoUser Input
0MATERIAL__ZAGENCYAgencyKey & TextNoUser Input
0MATERIAL__0BASIC_MATLBasic MaterialKey & TextNoUser Input
0PLANTPlantKey & TextYesUser Input
0MATERIALMaterialKey & TextYesUser Input
3.3.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0MATERIALMaterialCharacteristic Value VariableYesOptional
0PLANTPlantCharacteristic Value VariableYesOptional
0MATERIAL__0MATL_TYPEBrandCharacteristic Value VariableYesOptional
3.3.4 Time granularity
FORMCHECKBOX
Daily
FORMCHECKBOX
Weekly
FORMCHECKBOX
Monthly
FORMCHECKBOX
Quarterly
FORMCHECKBOX
Yearly
FORMCHECKBOX
Other: 3.3.5 Sample Layout
3.4 Best Seller
3.4.1 Measures
BW Name*DescriptionAggregation method
Calculation
0RTBAINSASTSales / Retail Value with TaxStandard AggregationRestricted
0CPBAINSABUSales / Base Unit of MeasureStandard AggregationRestricted
CKFContributionStandard Aggregation%CT [0RTBAINSAST] Sales / Retail Value with Tax
3.4.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0CALDAYCalendar DayKey & TextNoUser Input
0PLANTPlantKey & TextNoUser Input
0MATERIAL__0MATL_TYPEBrandKey & TextNoUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextNoUser Input
0MATERIAL_0MATL_GROUPMerc CategoryKey & TextNoUser Input
0MATERIAL_ZAGENCYMaterial AgencyKey & TextNoUser Input
0MATERIAL_ZDEPMNTMaterial DepartmentKey & TextNoUser Input
0MATERIALMaterialKey & TextNoUser Input
0MATERIAL_0BASIC_MATLBaisc MaterialKey & TextYesUser Input
3.4.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0MATERIAL_0MATL_GROUPMerc. CategoryCharacteristic Value VariableYesOptional
0CALDAYCalendar DayCharacteristic Value VariableYesYes
0MATERIAL_ZMATCATMaterial GroupCharacteristic Value VariableYesOptional
0MATERIAL_0MATL_TYPEMaterial TypeCharacteristic Value VariableYesOptional
0PLANTStoreCharacteristic Value VariableYesOptional
0MATERIAL__0MATL_TYPEBrandCharacteristic Value VariableYesOptional
3.4.4 Time granularity
FORMCHECKBOX
Daily
FORMCHECKBOX
Weekly
FORMCHECKBOX
Monthly
FORMCHECKBOX
Quarterly
FORMCHECKBOX
Yearly
FORMCHECKBOX
Other: 3.4.5 Sample Layout
3.5 Daily Sales Report
3.5.1 Measures
BW Name*DescriptionAggregation method
Calculation
0CALDAYCalendar DayRestricted
0RTBAINSASTSales / Retail Value with TaxStandard AggregationRestricted
3.5.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0MATERIAL__0MATL_TYPEBrandKey & TextNoUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextNoUser Input
0MATERIAL_0MATL_GROUPMerc CategoryKey & TextNoUser Input
0MATERIAL__ZDEPMNTDepartmentKey & TextNoUser Input
0MATERIAL__ZAGENCYAgencyKey & TextNoUser Input
0MATERIALMaterialKey & TextNoUser Input
0PLANTStoreKey & TextYesUser Input
3.5.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0MATERIAL__0MATL_TYPEBrandCharacteristic Value VariableYesOptional
0PLANTStoreCharacteristic Value VariableYesOptional
0CALDAYCalendar DayCharacteristic Value VariableYesYes
3.5.4 Time granularity
FORMCHECKBOX
Daily
FORMCHECKBOX
Weekly
FORMCHECKBOX
Monthly
FORMCHECKBOX
Quarterly
FORMCHECKBOX
Yearly
FORMCHECKBOX
Other: 3.5.5 Sample Layout
3.6 Category Contribution
3.6.1 Measures
BW Name*DescriptionAggregation method
Calculation
0RTBAINSASTSales / Retail Value with TaxStandard AggregationRestricted
RKFSales QtyStandard AggregationRestricted
CKF% ContributionStandard Aggregation%CT [0RTBAINSAST] Sales / Retail Value with Tax
CKF% of BUStandard Aggregation%GT [0RTBAINSAST] Sales / Retail Value with Tax
3.6.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0MATERIAL__ZDEPMNTDepartmentKey & TextYesUser Input
0MATERIAL__ZAGENCYAgencyKey & TextYesUser Input
0MATERIAL__ZSUBRANDSub BrandKey & TextYesUser Input
0CALMONTHCalendar /Year MonthKey & TextYesUser Input
0PLANTStoreKey & TextYesUser Input
0MATERIAL_0MATL_TYPEBrandKey & TextYesUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextYesUser Input
0MATERIAL_0MATL_GROUPMerc CategoryKey & TextYesUser Input
3.6.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0MATERIAL_ZMATCATMaterial GroupCharacteristic Value VariableYesOptional
0MATERIAL_0MATL_TYPEBrandCharacteristic Value VariableYesOptional
0CALMONTHCalendar / Year MonthCharacteristic Value VariableYesOptional
0PLANTStoreCharacteristic Value VariableYesOptional
3.6.4 Time granularity
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Daily
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Weekly
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Monthly
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Quarterly
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Yearly
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Other: 3.6.5 Sample Layout
3.7 Best Seller - Qty Based
3.7.1 Measures
BW Name*DescriptionAggregation method
Calculation
0CPBAINSABUSales / Base Unit of MeasureStandard AggregationRestricted
0RTBAINSASTSales / Retail Value with TaxStandard AggregationRestricted
ContributionStandard Aggregation%CT [0RTBAINSAST] Sales / Retail Value with Tax
3.7.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0CALDAYCalendar DayKey & TextNoUser Input
0PLANTStoreKey & TextNoUser Input
0MATERIAL__0MATL_TYPEBrandKey & TextNoUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextNoUser Input
0MATERIAL_0MATL_GROUPMerc CategoryKey & TextNoUser Input
0MATERIAL_ZSUBRANDMaterial Sub BrandKey & TextNoUser Input
0MATERIAL_ZDEPMNTMaterial DepartmentKey & TextNoUser Input
0MATERIAL_ZAGENCYMaterial AgencyKey & TextNoUser Input
0MATERIALMaterialKey & TextNoUser Input
0MATERIAL_0BASIC_MATLBaisc MaterialKey & TextYesUser Input
3.7.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0CALDAYCalendar DayCharacteristic Value VariableYesYes
0MATERIAL_0MATL_GROUPMerc CategoryCharacteristic Value VariableYesOptional
0MATERIAL_0MATL_TYPEBrandCharacteristic Value VariableYesOptional
0MATERIAL_ZMATCATMaterial GroupCharacteristic Value VariableYesOptional
0PLANTStoreCharacteristic Value VariableYesOptional
3.7.4 Time granularity
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Daily
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Weekly
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Monthly
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Quarterly
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Yearly
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Other: 3.7.5 Sample Layout
3.8 Landed Cost Report
3.8.1 Measures
BW Name*DescriptionAggregation method
Calculation
VAR_200817153605MRPStandard Aggregation[VAR_200817153605] MRP
0CPTOTSTOBVLanded Cost/UnitStandard Aggregation[0CPTOTSTOBV] Stock Value at Landed Cost (as on Date) / NODIM [0CPTOTSTOBU] Stock Qty (as on Date)
0CPTOTSTOBUStock Qty [as on Date]Standard AggregationRestricted
0CPTOTSTOBVStock Value at Landed Cost [as on Date]Standard AggregationRestricted
CKFStock Qty Retail Value [as on Date]Standard AggregationMRP * (NODIM [0CPTOTSTOBU] Stock Qty (as on Date))
CKFMarginStandard AggregationStock Qty Retail (as on Date) - [0CPTOTSTOBV] Stock Value at Landed Cost (as on Date)
3.8.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0CALDAYCalendar DayKey & TextNoUser Input
0CALMONTHCalendar Year/MonthKey & TextNoUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextNoUser Input
0MATERIAL_0MATL_GROUPMerc CategoryKey & TextNoUser Input
0PLANTStoreKey & TextNoUser Input
0MATERIAL_ZDEPMNTDepartmentKey & TextNoUser Input
0MATERIAL__ZAGENCYAgencyKey & TextNoUser Input
0MATERIAL_ORT_SEASONSeasonKey & TextNoUser Input
0MATERIAL_0MATL_TYPEBrandKey & TextYesUser Input
0MATERIALMaterialKey & TextYesUser Input
3.8.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0PLANTStoreCharacteristic Value VariableYesOptional
0MATERIAL_0MATL_TYPEBrandCharacteristic Value VariableYesOptional
0MATERIAL_0RT_SEASONSeasonCharacteristic Value VariableYesOptional
3.8.4 Time granularity
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Daily
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Weekly
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Monthly
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Quarterly
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Yearly
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Other: 3.8.5 Sample Layout
3.9 Gross Margin
3.9.1 Measures
BW Name*DescriptionAggregation method
Calculation
MRPStandard Aggregation[VAR_200817153605] MRP
0RTBAINSASTNet SalesStandard AggregationRestricted
Sales QtyStandard AggregationNODIM([0CPBAINSABU] Sales Qty)
0CPTSTISPVCOGSStandard AggregationRestricted
Gross MarginStandard AggregationABS(([0CPTSTISPV] COGS % [0RTBAINSAST] Net Sales
3.9.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0CALDAYCalendar DayKey & TextNoUser Input
0MATERIAL_ORT_SEASONSeasonKey & TextNoUser Input
0MATERIAL_ZDEPMNTDepartmentKey & TextNoUser Input
0MATERIAL__ZSUBRANDSub BrandKey & TextNoUser Input
0MATERIAL__ZAGENCYAgencyKey & TextNoUser Input
0PLANTStoreKey & TextYes
0MATERIAL_0MATL_TYPEBrandKey & TextYesUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextYesUser Input
0MATERIAL_0MATL_GROUPMerc CategoryKey & TextYesUser Input
0MATERIALMaterialKey & TextYesUser Input
3.9.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0CALDAYCalendar DayCharacteristic Value VariableYesOptional
0PLANTStoreCharacteristic Value VariableYesOptional
0MATERIAL_0MATL_TYPEBrandCharacteristic Value VariableYesOptional
0MATERIAL_ORT_SEASONSeasonCharacteristic Value VariableYesOptional
3.9.4 Time granularity
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Daily
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Weekly
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Monthly
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Quarterly
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Yearly
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Other: 3.9.5 Sample Layout
3.10 OTB
3.10.1 Measures
BW Name*DescriptionAggregation method
Calculation
Purchase Vale (as on Date)Standard AggregationRestricted
0RTBAINSASTNet Sales (as on Date)Standard AggregationRestricted
0CPTOTSTOPVInventory Balance (as on Date)Standard AggregationRestricted
MOHStandard Aggregation[0CPTOTSTOPV] Inventory Balance (as on Date) / Avg Sales Last 3 Mnths
Stock TurnStandard Aggregation12 / MOH
3.10.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0CALDAYCalendar DayKey & TextNoUser Input
0MATERIALMaterialKey & TextNo
0MATL_GROUPMerc CategoryKey & TextNoUser Input
ZDEPMNTDepartmentKey & TextNoUser Input
ZAGENCYAgencyKey & TextNoUser Input
0CALMONTHCalendar Year/MonthKey & TextNoUser Input
0MATERIAL_0MATL_TYPEBrandKey & TextYesUser Input
ZMATCATMaterial GroupKey & TextYesUser Input
3.10.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0MATERIAL_0MATL_TYPEBrandCharacteristic Value VariableYesOptional
0MATL_GROUP Merc CategoryCharacteristic Value VariableYesOptional
ZMATCATMaterial GroupCharacteristic Value VariableYesOptional
3.10.4 Time granularity
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Daily
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Weekly
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Monthly
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Quarterly
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Yearly
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Other: 3.10.5 Sample Layout
3.11 Catalogue Contribution
3.11.1 Measures
BW Name*DescriptionAggregation method
Calculation
0CPTSTREBUPurchase QtyStandard AggregationRestricted
0CPTSTREPVActual Purchase ValueStandard AggregationRestricted
RKFPlanned Purchase ValueStandard AggregationRestricted
CKFBalanceStandard Aggregation
CKF% VarianceStandard Aggregation
3.11.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0CALDAYCalendar DayKey & TextNoUser Input
0MATERIAL_ZMATCATMaterial GroupKey & TextNoUser Input
0MATERIAL_0MATL_GROUPMerc. CategoryKey & TextNoUser Input
ZAGENCYAgencyKey & TextNoUser Input
ZDEPMNTDepartmentKey & TextNoUser Input
0PLANTStoreKey & TextYesUser Input
0MATERIAL_0MATL_TYPEBrandKey & TextYesUser Input
0MATERIALMaterialKey & TextYesUser Input
3.11.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0MATERIAL_0MATL_TYPEBrandCharacteristic Value VariableYesOptional
0CALDAYCalendar DayCharacteristic Value VariableYesOptional
0PLANTStoreYes
3.11.4 Time granularity
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Daily
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Weekly
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Monthly
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Quarterly
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Yearly
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Other: 3.11.5 Sample Layout
3.12 Sales Superset 1
3.12.1 Measures
BW Name*DescriptionAggregation method
Calculation
RKFSales-Current DayStandard AggregationRestricted
RKFMTD Sales(X)Standard AggregationRestricted
RKFMTD Sales-Last Year (Y)Standard AggregationRestricted
CKF% Change X to YStandard AggregationNODIM ([0RTBAINSAST] MTD Sales(X)) NODIM ([0RTBAINSAST] MTD Sales-Last Year(Y)) / NODIM ([0RTBAINSAST] MTD Sales-Last Year(Y)) * 100
RKFLast Year-Same MonthStandard AggregationRestricted
RKFLast Months SalesStandard AggregationRestricted
CKF
% Chng Last Mth to This MthStandard AggregationNODIM([0RTBAINSAST] MTD Sales(X)) NODIM ([0RTBAINSAST] Last Month Sales) / NODIM ([0RTBAINSAST] Last Month Sales * 100
RKFSales Value Current YearStandard AggregationRestricted
CKFVAT ValueStandard Aggregation[0RTBAINSAST] Sales Value Current Year [0RTBAINSASV] Sales / Retail Value
CKFVAT %Standard AggregationVAT Value / [0RTBAINSASV] Sales / Retail Value * 100
RKFSales Value Last YearStandard AggregationRestricted
RKFCurrent Week Sales(A)Standard AggregationRestricted
RKFLast Week Sales(B)Standard AggregationRestricted
CKF% Chng B to AStandard AggregationNODIM ([0RTBAINSAST] Sales Value Last Year) NODIM ([0RTBAINSAST] Current Week Sales(A)) / NODIM ([0RTBAINSAST] Current Week Sales(A)) * 100
RKFLast Year Current Week(C)Standard AggregationRestricted
RKFLast Year Last Week(D)Standard AggregationRestricted
CKF% Chng C to DStandard AggregationNODIM ([0RTBAINSAST] Last Year Current Week(C)) NODIM ([0RTBAINSAST] Last Year Last Week (D)) / NODIM ([0RTBAINSAST] Last Year Last Week (D)) * 100
CKF% Chng B to DStandard AggregationNODIM ([0RTBAINSAST] Last Week Sales(B)) NODIM ([0RTBAINSAST] Last Year Last Week (D)) / NODIM ([0RTBAINSAST] Last Year Last Week (D) )* 100
CKF% Chng C to AStandard AggregationNODIM ([0RTBAINSAST] Current Week Sales(A)) NODIM ([0RTBAINSAST] Last Year Current Week (C)) / NODIM ([0RTBAINSAST] Last Year Current Week (C) )* 100
RKFYTD Sales QtyStandard AggregationRestricted
3.12.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
ZAGENCYAgencyKey & TextNoUser Input
ZDEPMNTDepartmentKey & TextNoUser Input
ZSUBRANDSub BrandKey & TextNoUser Input
0MATERIALMaterialKey & TextNoUser Input
ZMATCATMaterial GroupKey & TextNoUser Input
0PLANTStoreKey & TextNoUser Input
0MATL_GROUPMerc CategoryKey & TextNoUser Input
0MATERIAL_0MATL_TYPEBrandKey & TextYesUser Input
3.12.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0MATERIAL__0MATL_TYPEBrandCharacteristic Value VariableYesN
ZMATCATMaterial GroupCharacteristic Value VariableYesN
0PLANTStoreCharacteristic Value VariableYesN
0MATL_GROUPMerc CategoryCharacteristic Value VariableYesN
3.12.4 Time granularity
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Daily
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Weekly
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Monthly
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Quarterly
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Yearly
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Other: 3.12.5 Sample Layout
3.13 Sales Set 2
3.13.1 Measures
BW Name*DescriptionAggregation method
Calculation
Sales- Period 1Standard AggregationRestricted
Sales- Period 2Standard AggregationRestricted
3.13.2 Drill-downs
BW Name*DescriptionDisplay as
Default DrilldownEffective Date
0MATERIAL_ZMATCATMaterial GroupKey & TextNoUser Input
ZSUBRANDSub BrandKey & TextNoUser Input
0PLANTStoreKey & TextNoUser Input
ZAGENCYAgencyKey & TextNoUser Input
ZDEPMNTDepartmentKey & TextNoUser Input
0CALDAYCalendar DayKey & TextNoUser Input
0MATERIAL_0MATL_GROUPMerc CategoryKey & TextNoUser Input
0MATERIALMaterialKey & TextNoUser Input
0MATERIAL_0MATL_TYPEBrandKey & TextYesUser Input
3.13.3 Filters
BW Name*DescriptionType *User input (Y/N)?Mandatory (Y/N)?
0PLANTStoreCharacteristic Value VariableYes
ZMATCATMaterial GroupCharacteristic Value VariableYes
0MATERIAL__0MATL_TYPEBrandCharacteristic Value VariableYes
0MATL_GROUPMerc CategoryCharacteristic Value VariableYes
0CALDAYCalendar DayCharacteristic Value VariableYes
3.13.4 Time granularity
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Daily
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Weekly
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Monthly
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Quarterly
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Yearly
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Other: 3.13.5 Sample Layout
4 GAPS
4.1 POS
Report NameIssuePwC CommentsPR & PwC Joint Comments
Hour Band AnalysisDisplay of Hour BandAs hourly sales are calculated at run time, therefore the required description is not possible. However we have put the note in the report itself, which will help users to understand it. OK
4.2 FI
Report NameIssuePwC CommentsPR & PwC Joint Comments
Non eN/AN/AN/A
4.3 SD & MM
Report NameIssuePwC CommentsPR & PwC Joint Comments
Inventory Ageing- StoreNumber of days in Inventory Ageing ReportAfter analysis we found that its not getting technically feasible for us to identify First GR date amongst many posting dates for a particular material at run time.This will be explored in ISR system by PR.
Inventory Ageing - WarehouseAgeing Based on first GR dateSince there is no Batch Management being maintained by PR, so ageing of company level stock (all locations)is not possible based warehouse GR Date/FIFO logic.Feasibility of this requirement with Batch Management needs to be explored collectively by PR & PwC if PR activates the batch in future, the same will be possible.
Gross MarginClusteringAs we have Region field in the Info cube, therefore clustering would be possible only on these fields.PwC will identify the field in BW and R3 for clustering
Landed CostNet MRP exclusive of Tax Since Taxes are decided at the time of allocation, therefore Basic Price and Tax cannot be separated for unsold items as it is not being captured in material master. It is coming through condition records.PR will explore the basic and tax amount in different columns in ISR stock report.
OTB & Catalog ReportFOB ValueThis requirement can be captured at OLTP level and not at OLAP level.To be explored jointly
Apparel Discount ReportTracking of Changed MRPs Only latest MRP can be captured in BIWOnly latest MRP can be captured in BIW,
Markdown ReportOnly latest MRP can be captured in BIW, therefore PR to explore:
1. Some report in ISR to have sale report with current MRP along with First MRP.
2. Promotion based Sale Report with Actual MRP and Discounted Price.
3. Full Price Items and Discounted /Promotion Items to be identified separately.
5 GlossaryCKF Calculated Key Figure This key figure is calculated using standard key figures in the cube.RKF Restricted Key Figure - when a standard key figure is restricted by any characteristics say time or material.
Measure is the numerical value of any measure which gets stored in the fact table.
Dimension along which any analysis is done. For instance Sales by Region, here sales is a key figure and region is one dimension out of many.
Filters: are the selection variables, which need to be selected prior to executing any report.
BW Technical Name: is the standard technical name of any object in BW, which is assigned by SAP.
Purpose:To analyze sales made at various malls in a particular city.
Purpose:This report displays various financial ratios as mentioned below.
Purpose:This report is used analyze sales to rent performance with the help of following Key Measures.
Purpose:This is a store performance report used to analyze below mentioned key measures.
Purpose:This report is used to track credit notes with below mentioned details.
Purpose:This report shows Kit Sales along with missing LYB numbers
Purpose:This report will give reference invoice number details.
Purpose:This report shows Item sold with the Kit.
Measures:Number of POS Receipts
Tender Value
Optional Variables
Discount Type
EAN Number
Tax Category
Means of Payment
Invoice Number
Selection
Criteria:Date Interval & Store
Business UnitAviation
RegionOptional User Prompt
Sales AreaOptional User Prompt
Purpose:This report shoes department wise discount given towards LYB sales.
Purpose:This report tracks article wise LYB sales.
Purpose:This report shows departments wise LYB sales details to demonstrate LYB usage.
Purpose:This report gives how much has been sold with LYB number. This is used for LYB customer tracking.
Purpose:This report gives further details of credit notes.
Purpose:This report provides detail about credit note issue and redeem.
Purpose:This report is used to analyze returns along with tax and discount information.
Purpose:This report displays number of bills/invoices lying in flexible buckets, store wise and date wise.
Purpose:The purpose of this report is to analyze hourly sales at stores.
Purpose:The purpose of this report is to analyze means of payment by store, calendar day and invoice number wise.
Purpose:This is an Inventory Ageing report. It shows ageing of the stock lying at Warehouse within the buckets specified by the business.
Purpose:This is an Inventory Ageing report. It shows ageing of the stock lying at Stores within the buckets specified by the business.
Purpose:This report gives the overview of the total stock in terms of opening balance, sold value and closing stock.
Measures:Number of POS Receipts
Tender Value
Optional Variables
Discount Type
EAN Number
Tax Category
Means of Payment
Invoice Number
Selection
Criteria:Date Interval & Store
Business UnitAviation
RegionOptional User Prompt
Sales AreaOptional User Prompt
Measures:Number of POS Receipts
Tender Value
Optional Variables
Discount Type
EAN Number
Tax Category
Means of Payment
Invoice Number
Selection
Criteria:Date Interval & Store
Business UnitAviation
RegionOptional User Prompt
Sales AreaOptional User Prompt
Purpose:This report shows top selling articles in terms of sale value.
Purpose:This is a Daily Sales Report showing sales value on daily basis.
Purpose:This report shows how much a category has contributed to overall sales.
Measures:Number of POS Receipts
Tender Value
Optional Variables
Discount Type
EAN Number
Tax Category
Means of Payment
Invoice Number
Selection
Criteria:Date Interval & Store
Business UnitAviation
RegionOptional User Prompt
Sales AreaOptional User Prompt
Purpose:This report shows top selling articles in terms of sale Quantity.
Measures:Number of POS Receipts
Tender Value
Optional Variables
Discount Type
EAN Number
Tax Category
Means of Payment
Invoice Number
Selection
Criteria:Date Interval & Store
Business UnitAviation
RegionOptional User Prompt
Sales AreaOptional User Prompt
Purpose:This is a Landed Cost report showing stock as on date, stock value at landed cost and other measures listed below.
Measures:Number of POS Receipts
Tender Value
Optional Variables
Discount Type
EAN Number
Tax Category
Means of Payment
Invoice Number
Selection
Criteria:Date Interval & Store
Business UnitAviation
RegionOptional User Prompt
Sales AreaOptional User Prompt
Purpose:This is a Gross Margin Report showing Gross Margin at various levels in the hierarchy.
Purpose:This is open to buy report. It helps the business to decide how much is lying with the brand and how much they have to purchase.
Purpose:This report shows variance between Planned Purchase and Actual Purchase.
Purpose:This is Sales Superset consisting of various Key Measures which can be used to make multiple reports as per the user requirement.
Purpose:This report compares the sales of two periods at various hierarchy levels.
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describes the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
Aggregation methods describe the way the figure is aggregated, i.e. summed up, averaged over all numbers, etc?
If applicable, determines the method to calculate the measure
Display as code, description, or both
3