BI Blueprint Planet Retail

110
Business Blueprint SAP BIW Version 1.0 SAP Module Core Team - PR Consultants - 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)

description

BI Blueprint Planet Retail

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

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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: 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

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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: 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

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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: 3.1.5 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

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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: 3.2.5 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

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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: 3.3.5 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

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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: 3.4.5 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

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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: 3.5.5 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