BI Configuration SAP

Planet Retail

SAP BI Configuration Document

Created By: Akshat Bal DikshitConsultant - PricewaterhouseCoopers

1

Table of Contents

1. GENERAL EXPLANATIONS......................................................................................................3

2. POS ANALYTICS.........................................................................................................................7

2.1. SCENARIO OVERVIEW:...........................................................................................................72.2. POS ANALYTICS INFO PROVIDERS:......................................................................................7

2.2.1. Store/Article/Day......................................................................................................72.2.2. Data Flow for Info Cube 0RPA_C01....................................................................82.2.3. Data Modeling...........................................................................................................8

2.3. CAPTURING LYB NO. AND INVOICE NO.............................................................................102.4. OTHER DEVELOPMENTS......................................................................................................112.5. WALKINS CUBE....................................................................................................................12

2.5.1. Data Modeling.........................................................................................................122.5.2. Data Model for Walkins Cube..............................................................................142.5.3. Data Modeling.........................................................................................................14

3. RETAIL.........................................................................................................................................16

3.1. SCENARIO OVERVIEW..........................................................................................................163.2. RETAIL INFOPROVIDERS......................................................................................................16

3.2.1. Retail Cube...............................................................................................................163.2.2. Data Modeling.........................................................................................................16

3.3. INFOCUBE FOR PLANNED DATA.........................................................................................213.4. DATA MODELING..................................................................................................................213.5. MULTIPROVIDER FOR PLANNED/ACTUAL DATA................................................................233.6. DATA MODELING..................................................................................................................23

4. INVENTORY.................................................................................................................................25

4.1. SCENARIO OVERVIEW..........................................................................................................254.2. INVENTORY INFOPROVIDERS...............................................................................................25

4.2.1. Inventory Cube........................................................................................................254.2.2. Data Modeling.........................................................................................................25

5. ENHANCING MASTER DATA.................................................................................................28

5.1. MATERIAL MASTER..............................................................................................................285.2. PLANT MASTER....................................................................................................................32

APPENDIX A.........................................................................................................................................33

APPENDIX B.........................................................................................................................................37

APPENDIX C.........................................................................................................................................41

Appendix D.............................................................................................................................................42

2

1. General explanations

Datawarehousing Workbench

The Datawarehousing Workbench (DWB) is the tool that you use to control how the data gets from the source systems into the InfoCubes of the Business Information Warehouse. The parts of the Administrator Workbench that you will need for the requesting and managing of the data include: Source system, InfoSource, InfoCube, InfoObject, Scheduler, and Monitor.

Business Explorer

The SAP Business Information Warehouse reporting tool.In the Business Explorer Analyzer (BEx Analyzer) you define queries, which are based on a selection of characteristics and key figures (Info Objects). You analyze the selected InfoCube data by navigating in the query, where you generate different views of the data.

Characteristic

A criterion to which data can be selected such as company code, product, material, customer group, fiscal year, period or region.Characteristics provide classification possibilities for the dataset. The master data encompasses the permitted values of a characteristic, the so-called characteristic values. Characteristic values are discrete names. The characteristic region could, for example, have the values "North", "Central" and "South".

Data Extraction

The process of loading data from source systems into the BW for reporting.

Data Mapping

The process of assigning source system data elements to target data elements in the Data Warehouse.

Data Transformation

The process of modifying data for accuracy and completeness in BW. Transformations that are derived from business rules can be applied to elementary data in BW to prepare it for end-user reporting.

Data Warehouse

A database that contains summarized data from transactional data found in the OLTP system(s), legacy system(s) or other sources. The data store in the BW is designed for the efficient retrieval of data and for decision support reporting. The data are organized by subject area, and the data are time dependent. The data store contains figured quantities and dimensional data.

3

The architecture of the BI specific ETL process is depicted in the figure below:

Dimension Table

A table in a star schema with a single part primary key (e.g., customer key, product key, time key).

4

Update Rules

SD, PP, MM, QM, FI, IS -Retail

SAP R/3 OLTP

Business Information Warehouse Staging Area

InfoCube

Update Rules Update Rules

External Sources

Communication StructureCommunication Structure

Transfer Structure

Production Extractors

Transfer Structure

Flat Files

Plan and Target Data

Transfer Structure

ODS

Mapping & Transformation Rules Mapping & Transformation Rules

Fact Table

The fact table is at the center of the star schema of an InfoCube. The data part contains all key figures (also called "Facts") of the InfoCube and the key is formed by links to the entries of the dimensions of the InfoCube.

Favorites

Channel for workbooks with which a user works frequently. Users can copy workbooks with which they frequently work from the channels into their favorites. Users manage their favorites themselves and can individually name or group their content. Users can save modified or new workbooks in their favorites.

Info Catalog

This is a tree-like structure in the Administrator Workbench that displays Business Information Warehouse workbooks and queries. The various Info Catalog trees contain workbooks that SAP delivers, workbooks that can be used in an enterprise, workbooks that are used by certain user groups, workbooks that an individual user is allowed to use, and Favorite workbooks (user favorites), that a user has put together. The structure of the sub-trees can be freely defined by the administrator. A user accesses his or her queries of the Info Catalog using the Business Explorer Browser.

InfoCube

This is the central data container for queries and evaluations. InfoCubes contain two types of data, namely key figures and characteristics.An InfoCube is a number of relational tables, which are put together according to the star schema: a large fact table in the center, surrounded by several dimension tables. The fact table is set up in order to save all key figures on the lowest level of detail while the dimension tables are used to save the characteristics that are required both in reporting and in the evaluations of these key figures. Dimension tables are seen as being independent of one another. Only the fact table connects the dimensions with the key figures. Therefore all of the data is stored multi-dimensionally in the InfoCubes.

InfoObject

Generic term in the Business Information Warehouse for characteristics and key figures. InfoObject are used in InfoCubes and the three structures relevant for the data request (extract structure, transfer structure and communication structure).Names for Info Objects can only be given once.Within the characteristic a distinction is made between time and unit characteristics. Examples for characteristics would be evaluation groups such as cost center or product group.Key figures are currency, quantity or number fields such as sales revenue, revenue or number of employees. Key figures usually refer to unit Info Objects.

Info Package

5

This describes which data in an InfoSource should be requested from a source system. Therefore, the data can be precisely selected using selection parameters (for example, only controlling area 001 in period 10.1997).An Info Package can request transaction data or attributes or hierarchies for master data.

InfoSource

An InfoSource is a quantity of information for a unit. This information has been grouped together and can be said to belong together logically from a business point of view. InfoSources can either contain transaction data or master data (attributes, texts, and hierarchies). An InfoSource is always a quantity of Info Objects.

Key Figure

Values or quantities such as sales revenue, fixed costs, sales quantity or number of employees.In addition to the key figures saved on the database, there is a possibility of defining derived (calculated) key figures in the query definition in the Business Explorer. Such key figures are calculated using a formula from the key figures of the InfoCube. Examples of derived key figures are sales revenue per employee (sales revenue divided by number of employees), or variance as a percentage or the contribution margin.

Master Data

This is data that remains unchanged over a long period of time. Master data contains information that is needed again and again in the same way. Meta DataMeta data is data about data. This means that meta data describes the origin, history and further aspects of the data. The information that is stored in the SAP Business Information Warehouse can be effectively used for reporting and analysis via the meta data. There are different classes of meta data: technical or business-oriented.

Monitor

Monitoring tool of the Administrator Workbench. Using the Monitor you can oversee the data request and processing in the Administrator Workbench. You will be shown the status of the IDoc processing in the various levels of the detail display. A distinction is made between two types of IDoc: Data IDoc and Info IDoc.

OLAP

On-Line Analytical Processing (OLAP) is software that is used to analyze summarized On-Line Transaction Processing (OLTP) data. OLAP allows multidimensional views and analysis of that data for decision support processes.

OLTP

On-Line Transaction Processing (OLTP) is used for operational data e.g. data in the R/3 software.

Primary Key

Key field or group of fields which form the unique identification of a record (a line) in a table.

Query

6

Collection of a selection of characteristics and key figures (Info Objects) for the analysis of the data of an InfoCube. A query always refers to exactly one InfoCube, whereas you can define as many queries as you like per InfoCube.You define a query by selecting Info Objects or predefined query templates of an InfoCube and distributing them to filters, rows, columns and free (user-defined or drilldown) characteristics to create a view of the data. You insert the query in a workbook and can then create further views of the InfoCube data via navigation. You can save data for the current navigational state of the query in the workbook.

Relational Integrity

The observation of integrity rules governing the relational data model. These include primary key integrity, value range integrity, and foreign key integrity (referential integrity).

Scheduler

The Scheduler is the nexus between the source systems and the InfoCubes. With the Scheduler you determine which data is to be requested from the source system and at which point in time. The principle of the Scheduler relies on the functionality of the R/3 background job. The data request can either be started at once or with a background job and automatically at a later date.

Source System

All systems those are available in the Business Information Warehouse for data extraction. These can be SAP R/3 Systems (from Release 3.0D) and so-called external systems (for example, so-called third party tools or files).

Star Schema

A data structure that combines fact tables and dimension tables in a way that provides easy and efficient access to the data.

2. POS Analytics

2.1.Scenario Overview:

To analyze Invoice wise, Material wise, Brand wise, Merchandise Category wise Sales, Discounts and Taxes. Apart from Sales Scenario, Returns tracking, Store Credit Note Issue/Redeem Tracking, Walkins is covered under POS Analytics. LYB (Love Your Body) Customer tracking is also done in the POS Analytics scenario. Data from POSDM is used to load POS Analytics Cube and carry out analysis on day-to-day store data. InfoCube used in POS Analytics scenario is:

Info cube: 0RPA_C01 – Store/Article/Day

2.2.POS Analytics Info providers:

2.2.1.Store/Article/Day

Technical name: 0RPA_C01

7

The InfoCube contains POS data for daily evaluations relating to the recent past at store/article/day level.Data must be loaded to the InfoCube as soon as possible, in other words, at least once a day. However, this also depends very much on the size of the system.

.

2.2.2.Data Flow for Info Cube 0RPA_C01

2.2.3.Data Modeling

InfoSources

POS Analytics: Retail Control 0RT_PA_TRAN_CONTROL

8

Requires

Object Type Name Technical Name

InfoObject Base Sales Quantity in Base Units of Measure 0BASE_QTY

InfoObject Base Unit of Measure 0BASE_UOM

InfoObject Calendar Day 0CALDAY

InfoObject Calendar Year/Month 0CALMONTH

InfoObject Calendar month 0CALMONTH2

InfoObject Quarter 0CALQUART1

InfoObject Calendar Year/Quarter 0CALQUARTER

InfoObject Calendar Year/Week 0CALWEEK

InfoObject Calendar Year 0CALYEAR

InfoObject Change Run ID 0CHNGID

InfoObject Consumer 0CONSUMER

InfoObject Document currency 0DOC_CURRCY

InfoObject Fiscal year / period 0FISCPER

InfoObject Posting period 0FISCPER3

InfoObject Fiscal year variant 0FISCVARNT

InfoObject Fiscal year 0FISCYEAR

InfoObject Halfyear 0HALFYEAR1

InfoObject Local currency 0LOC_CURRCY

InfoObject Material 0MATERIAL

InfoObject Material group 0MATL_GROUP

InfoObject Record type 0RECORDTP

9

Requires


InfoObject Request ID 0REQUID

InfoObject Number of Discount Items 0RPA_CCO

InfoObject Number of POS Receipts 0RPA_CNR

InfoObject Sales in Cost Value 0RPA_CST

InfoObject Discount Identification 0RPA_DID

InfoObject Discount Reason 0RPA_DRC

InfoObject Discount Reason Group 0RPA_DRG

InfoObject Discount Type 0RPA_DTC

InfoObject Discount Type Group 0RPA_DTG

InfoObject Sales Promotion Quantity 0RPA_PRMQTY

InfoObject Promotion Sales 0RPA_PRMSAL

InfoObject Promotion Sales (Local Currency) 0RPA_PSL

InfoObject Discount Value 0RPA_REA

InfoObject Return Sales 0RPA_RETSAL

InfoObject Sales Quantity in Sales Unit 0RPA_RLQ

InfoObject POS: Returns Quantity (BUn) 0RPA_RQTYB

InfoObject POS: Returns Quantity (Sales Unit) 0RPA_RQTYV

InfoObject Reason 0RPA_RRC

InfoObject Group for Reasons 0RPA_RRG

InfoObject Volume of Returns (Local Currency) 0RPA_RSL

InfoObject Sales at Retail Value 0RPA_SAT

10

Requires


InfoObject Sales at Retail Value (Local Currency) 0RPA_SLC

InfoObject Tender Value 0RPA_TAT

InfoObject Means of Payment 0RPA_TCD

InfoObject Transaction Type 0RPA_TTC

InfoObject Time of Day Class 0RT_DAYTCL

InfoObject Retail location 0RT_LOCATIO

InfoObject Promotion 0RT_PROMO

InfoObject Hour of Sale 0RT_SALHOUR

InfoObject Sales unit 0SALES_UNIT

InfoObject Weekday 0WEEKDAY1

2.3.Capturing LYB No. and Invoice No.

LYB No is captured in InfoObject 0RPA_DEP (Department Controller) and Invoice No is captured in InfoObject 0RPA_PAI (Partner Number).

Necessary setting in XI was done to capture LYB No and Invoice No in Department and Partner No respectively. Partner Number and Department are maintained under the Dimension Invoice Number.

11

2.4.Other Developments

Getting Material from EAN No.

Article No (Material) doesn’t flow from POSDM to BW. From POSDM EAN No flows into BW. In order to get Article No for corresponding EAN No we wrote a routine in Update Rules of Material.

select single MATERIAL into RESULT from /BI0/PMATERIAL where EANUPC = COMM_STRUCTURE-EANUPC. Tax Category and Tax Amount were not present in the BI Content cube. Tax

Category (0RPA_TAC) was added in the Tax dimension and Tax Amount (0RPA_TAM) was added in Key Figures.

Necessary changes were made in the Transfer Routine of 0RPA_C01

( wa_datapak-recordqualifier = 1000 OR wa_datapak-recordqualifier = 1100 OR wa_datapak-recordqualifier = 1110 OR

12

wa_datapak-recordqualifier = 1111 OR wa_datapak-recordqualifier = 1130 OR wa_datapak-recordqualifier = 1133 OR wa_datapak-recordqualifier = 1121 OR wa_datapak-recordqualifier = 1101 OR wa_datapak-recordqualifier = 1102 )

2.5. Walkins Cube

Technical Name: ZRPA_WALK

Walkins Cube is used to capture the Walkins data to be used in Walkins Report. Data is loaded from Flat File in the Walkins Cube.

2.5.1. Data Modeling

Walkins Cube

Technical Name: ZRPA_WALK

Infosources:

Walkins Info Source ZRPA_WALK

13

Data flow for InfoCube 0RPA_WALK

14

2.5.2. Data Model for Walkins Cube

Walkins Multiprovider

Technical Name: ZMP_WALK


Walkins MultiProvider

Technical Name: ZMP_WALK

Basic Cubes Used:

Store/Article/Day 0RPA_C01 Walkins cube ZRPA_WALK

15

Data Flow for Walkins MultiProvider

Data Model for Walkins MultiProvider

16

3. Retail

3.1. Scenario Overview

To analyze Sales, Purchases at Retail Price and Landed Cost at Store, Merc Category, Brand, Material Group Level. This cube also gives position of stock. Data in this cube is loaded from multiple datasources to give Sales, Purchase and Stock positions. Source System for data loading for this cube is ISR.

InfoCube: Retail Cube 0RT_C013.2.Retail InfoProviders

3.2.1. Retail Cube

Technical Name: 0RT_C01

This InfoCube was created to model the most important aspects of retailing in a

comprehensive manner. In other words, its purpose is to allow you to compare the key figures

from Purchasing, Inventory Management and Sales.


Retail Cube

Technical Name: 0RT_C01

InfoSources

Purchasing Schedule Line 2LIS_02_SCL SD Billing Documents 2LIS_13_VDITM Stock Initialization 2LIS_03_BX Goods Movements 2LIS_03_BF

Revaluation Datasources not used currently

Stock Revaluation 2LIS_03_UM Revaluation at Retail 2LIS_40_REVAL

17

Data Flow for Info Cube 0RT_C01

Modeling

Object

Type Name Technical Name

InfoObject GI / DC RtlT 0RTGOISDCST

InfoObject Goods Issue / DC Retail Value 0RTGOISDCSV

InfoObject GR / DC / RtlT 0RTGOREDCST

InfoObject GR / DC Rtl 0RTGOREDCSV

InfoObject GR Posting Date / Vendor RtlT 0RTGRPDVST

InfoObject Goods Receipt Posting Date/Vendor Retail Value 0RTGRPDVSV

InfoObject Sales Deviation 0RTINSADIST

InfoObject Merchandise Clearing Output / RtlT 0RTMCAODDST

InfoObject Outbound Merchandise Clearing / Rtl 0RTMCAODDS

V

InfoObject Merchandise Clearing Input / RtlT 0RTMCINDDST

InfoObject Merchandise Clearing Input / Retail Value 0RTMCINDDSV

InfoObject Purchase Order Delivery Date/Vendor RtlT 0RTPODDVST

InfoObject PO Delivery Date / Vendor Retail Value 0RTPODDVSV

InfoObject Returns Total / Vendor Cost Value 0CPTRETVPV

InfoObject Issues from Valuated Stock Total / BUn 0CPTSTISBU

InfoObject Total Issues from Valuated Stock / Cost Value 0CPTSTISPV

18

InfoObject Receipts to Valuated Stock Total / BUn 0CPTSTREBU

InfoObject Total Receipts to Valuated Stock / Cost Value 0CPTSTREPV

InfoObject Local currency 0LOC_CURRCY

InfoObject Material 0MATERIAL

InfoObject Plant Material 0MAT_PLANT

InfoObject Plant 0PLANT

InfoObject Record type 0RECORDTP

InfoObject Request ID 0REQUID

InfoObject Sales / Retail Value with Tax 0RTBAINSAST

InfoObject Sales / Retail Value 0RTBAINSASV

InfoObject Promotion Sales /Bun 0RTPRINSABU

InfoObject Stock Correction Total (-) / Retail 0RTTINCONSV

InfoObject Stock Correction Total (+) / RtlT 0RTTINCOPST

InfoObject Stock Correction Total (+) / Retail 0RTTINCOPSV

InfoObject Total Valuated Stock - / RtlT 0RTTOTSTOST

InfoObject Total Valuated Stock / Rtl 0RTTOTSTOSV

InfoObject Total Returns / Vendor Retail Value with Tax 0RTTRETVST

InfoObject Total Returns / Vendor Retail Value 0RTTRETVSV

InfoObject Total Issues Valuated Stock / Retail Value with Tax 0RTTSTISST

InfoObject Total Issues from Valuated Stock / Retail Value 0RTTSTISSV

InfoObject Total Receipts Valuated Stock / Retail Value with

Tax

0RTTSTREST

InfoObject Total Receipts to Valuated Stock / Retail Value 0RTTSTRESV

InfoObject Material Number linked to Retail_Activity 0RT_MAT_PRM

InfoObject Promotion 0RT_PROMO

InfoObject Promotion Sales / Number of Items 0RTPRINSANI

InfoObject Promotion Sales / Cost Value 0RTPRINSAPV

InfoObject Promotion Sales / Retail Value with Tax 0RTPRINSAST

InfoObject Promotion Sales / Retail 0RTPRINSASV

InfoObject Value-Based Sales, RtlT 0RTSALEEVST

InfoObject Sales Value at Retail 0RTSALEEVSV

InfoObject Revaluation at Retail (Negative)/ Retail Value with

Tax

0RTSPRENST

InfoObject Revaluation at Retail (Negative)/ Retail Value 0RTSPRENSV

19

InfoObject Revaluation at Retail (Positive)/ Retail Value with

Tax

0RTSPREPST

InfoObject Revaluation at Retail (Positive) / Retail Value 0RTSPREPSV

InfoObject Total GR / Vendor RtlT 0RTTGOREVST

InfoObject Total Goods Receipt / Vendor Retail Value 0RTTGOREVSV

InfoObject Stock Correction Total (-) / RtlT 0RTTINCONST

InfoObject GR / DC Bun 0CPGOREDCB

U

InfoObject GR / DC Number of Items 0CPGOREDCNI

InfoObject Goods Receipt /Distribution Center Cost Value 0CPGOREDCP

V

InfoObject Goods Receipt Posting Date / Vendor BUn 0CPGRPDVBU

InfoObject GR Posting Date / Number of Vendor Schedule

Lines

0CPGRPDVNI

InfoObject Goods Receipt Posting Date / Vendor Cost Value 0CPGRPDVPV

InfoObject Outbound Merchandise Clearing / BUn 0CPMCAODDB

U

InfoObject Outbound Merchandise Clearing / Number of Items 0CPMCAODDNI

InfoObject Outbound Merchandise Clearing / Cost Value 0CPMCAODDP

V

InfoObject Inbound Merchandise Clearing / BUn 0CPMCINDDBU

InfoObject Inbound Merchandise Clearing / Number of Items 0CPMCINDDNI

InfoObject Inbound Merchandise Clearing / Cost Value 0CPMCINDDPV

InfoObject Open PO Quantity Delivery Date / Vendor BUn 0CPOPOQDVB

U

InfoObject Base Unit of Measure 0BASE_UOM

InfoObject Calendar Day 0CALDAY

InfoObject Calendar Year/Month 0CALMONTH

InfoObject Calendar Year/Quarter 0CALQUARTER

InfoObject Calendar Year/Week 0CALWEEK

InfoObject Calendar Year 0CALYEAR

InfoObject Change Run ID 0CHNGID

InfoObject Sales / Base Unit of Measure 0CPBAINSABU

InfoObject Sales /Number of Items 0CPBAINSANI

InfoObject Sales/Cost Value 0CPBAINSAPV

InfoObject GI / DC Bun 0CPGOISDCBU

20

InfoObject GI / DC Number of Items 0CPGOISDCNI

InfoObject GI / DC / Cost 0CPGOISDCPV

InfoObject Open Order Stock Delivery Date / Vendor Cost

Value

0CPOPOQDVP

V

InfoObject Stock Correction Total (Positive) / BUn 0CPTINCOPBU

InfoObject Total Stock Correction (Positive) / Number of Items 0CPTINCOPNI

InfoObject Total Stock Correction (Positive)/ Cost Value 0CPTINCOPPV

InfoObject Last Valuated Stock Total/Bun 0CPTOTSTOBU

InfoObject Last Valuated Stock Total/Cost Value 0CPTOTSTOPV

InfoObject Total Cost Price Revaluation (Negative) /BUn 0CPTPPRENBU

InfoObject Total Cost Price Revaluation (Negative) / Number of

Items

0CPTPPRENNI

InfoObject Total Revaluation at Cost (Negative)/ Cost Value 0CPTPPRENPV

InfoObject Total Cost Price Revaluation (Positive)/BUn 0CPTPPREPBU

InfoObject Total Cost Price Revaluation (Positive)/ Number of

Items

0CPTPPREPNI

InfoObject Total Cost Price Revaluation (Positive)/ Cost Value 0CPTPPREPPV

InfoObject Total Returns / Vendor Bun 0CPTRETVBU

InfoObject Total Returns / Vendor Number of Items 0CPTRETVNI

InfoObject Purchase Order Delivery Date / Vendor BUn 0CPPODDVBU

InfoObject Purch. Order Deliv. Date/SchLines 0CPPODDVNI

InfoObject PO Delivery Date / Vendor Cost Value 0CPPODDVPV

InfoObject Revaluation at Retail (Negative) / BUn 0CPSPRENBU

InfoObject Revaluation at Retail (Negative) / Number of Items 0CPSPRENNI

InfoObject Revaluation at Retail (Positive) / BUn 0CPSPREPBU

InfoObject Revaluation at Retail (Positive) / No. of Items 0CPSPREPNI

InfoObject Goods Receipt Total / Vendor BUn 0CPTGOREVBU

InfoObject Goods Receipt Total / Vendor Number of Items 0CPTGOREVNI

InfoObject Goods Receipt Total / Vendor Cost Value 0CPTGOREVPV

InfoObject Total Stock Correction (Negative) / BUn 0CPTINCONBU

InfoObject Total Stock Correction (Negative)/ Number of Items 0CPTINCONNI

InfoObject Total Stock Correction (Negative) / Cost Value 0CPTINCONPV

Changes in Update Rules of 2LIS_03_BX And 2LIS_03_BF

In the Update rules of Stock Initialization and Goods Movement we added the following lines of code to extract the data in BW.

21

IF COMM_STRUCTURE-PROCESSKEY = '103' AND COMM_STRUCTURE-BWAPPLNM EQ 'IS-R'.

Also in SBIW in ISR Prod “Industry Sector” was maintained as “Retail”

3.3. InfoCube for Planned Data

Technical Name: ZRT_PLAN

This InfoCube is used for Planned Sales and Purchase Data. Planned Sales and Purchase

data would be loaded through Excel File into ZRT_PLAN. This would then be used to analyze

Plan vs Actual Sales and Purchases.

3.4.Data Modeling

InfoCube for Planned Data

Technical Name: ZRT_PLAN

InfoSources

InfoSource for Planned Data : ZPLAN_IS

22

Data Flow for Info Cube ZRT_PLAN

23

Data Model for InfoCube for Planned Data

24

3.5.MultiProvider for Planned/Actual Data

Technical Name: ZMUL_PUR

This MultiProvider is used for Planned Sales and Purchase Data. Queries such as OTB and

Catalog Contribution are made from this MultiProvider

3.6.Data Modeling

MultiProvider for Planned/Actual Data

Technical Name: ZMUL_PUR

Basic Cubes:

Retail Cube 0RT_C01 InfoCube for Planned Data ZRT_PLAN

Data Flow for Planned/Actual Data MultiProvider

25

Data Model for Planned/Actual MultiProvider

Note: A MultiProvider cannot have a Non Cumulative Key Figure such as Total Stock Qty from both the Basic Cubes. Also SAP Note 1116174 is required to activate the MultiProvider.

26

4. Inventory

4.1.Scenario Overview

To do Inventory Ageing and analyze Opening Stock, Receipts, Issues and Closing Stock quantities. Stock Overview and Stock Ageing reports are delivered from this report.

InfoCube: Inventory Cube ZIC_C03

4.2. Inventory InfoProviders

4.2.1. Inventory Cube

Technical Name: ZIC_C03

This InfoCube allows you to evaluate stocks from ERP.

A new feature in this InfoCube is the pre-existing stock key figure Valuated Stock Quantity (0VALSTKQTY) and the associated movement key figures Receipt Quantity Valuated Stock (0RECVALSTCK) and Issue Quantity Valuated Stock (0ISSVALSTCK).


Retail Cube

Technical Name: ZIC_C03

InfoSources

Stock Initialization 2LIS_03_BX Goods Movements 2LIS_03_BF

Revaluation Datasources not used currently

Stock Revaluation 2LIS_03_UM

27

Data Flow for ZIC_C03 (Inventory Management) Cube

Modeling

InfoObject Description

0MATERIAL Material

0PLANT Plant

0STOR_LOC Storage Location

0BATCH Batch Number

0STOCKTYPE Stock Type

0STOCKCAT Stock Categories

0GN_VENDOR Vendor

0CALDAY Calendar Day

0CALMONTH Calendar Year/Month

0CALWEEK Calendar Year/Week

28

0CALYEAR Calendar Year

0RECVS_VAL Value Received - Valuated Stock

0VALSTCKVAL Value - Valuated Stock

0ISSVS_VAL Value Issued - Valuated Stock

0ISSBLOSTCK Issue Quantity - Blocked Stock

0ISSCNSSTCK Issue Quantity - Consignment Stock

0ISSQMSTCK Issue Quantity - Inspection Stock

0ISSTRANSST Issue Quantity - Stock in Transit

0RECBLOSTCK Receipt Quantity - Blocked Stock

0RECCNSSTCK Receipt Quantity - Consignment Stock

0RECQMSTCK Receipt Quantity - Inspection Stock

0RECTRANSST Receipt Quantity - Stock in Transit

0QMSTOCK Inspection Stock

0BLOCKEDSTK Blocked Stock

0CNSSTCKQTY Quantity - Consignment Stock

0TRANSSTOCK Stock in Transit

0ISSSCRP Issue Quantity - Scrap

0ISSVALSCRP Issue Value - Scrap

0RECTOTSTCK Receipt Quantity - Total Stock

0ISSTOTSTCK Issue Quantity - Total Stock

0TOTALSTCK Quantity - Total Stock

0ISSVALSTCK Issue Quantity - Valuated Stock

0RECVALSTCK Receipt Quantity - Valuated Stock

0VALSTCKQTY Quantity - Valuated Stock

0VENCONCON Consumption Value - Vendor Consignment Stock

0LOC_CURRCY Local Currency

0BASE_UOM Base Unit of Measure

Note the following procedures when filling the InfoCube 0IC_C03 for the first time with non-cumulative data from ERP:...

1. Create non-cumulatives with the program BW: Initialization of Opening Non-Cumulatives in Transfer Structure (RMCBINIT_BW).

2. Initialize the movements/revaluations with the program RMCBNEUB/RMCBNERP.

3. Post in the InfoCube using the update method Creation of Non-Cumulatives from the InfoSource 2LIS_03_BX.

4. Post in the InfoCube using the update method Initialization of the Delta Process from the InfoSources 2LIS_03_BF and 2LIS_03_UM.

29

Refer to SAP Note 0643687 (Compression of Non-Cumulative InfoCubes) regarding the subsequent steps for compression.

5. Compression of the request from 2LIS_03_BX with update of the marker.

6. Because in this case you are posting movements and revaluations in the InfoCube that occurred before the non-cumulative creation and which lead to this non-cumulative creation, you must execute a compression without updating the marker. For more information.

7. Thereafter, you can transfer new movements and revaluations to the BW system as usual (for performance reasons, we recommend that you regularly compress with updates of the marker.

5. Enhancing Master Data

5.1. Material Master

In order to capture MRP of the Material, Generic DataSource was created at ISR side. This Generic DataSource was used to extract MRP data into Material Master.

Generic DataSource: ZMRP_MTL_ATTR

T-Code: RSO2

Click on Display to see the details of Generic DataSource.

30

Click on Generic Delta to see the Delta Mechanism for this DataSource

31

View upon which DataSource is built: Z_MRP_VIEW

Go to T-Code SE11

This View is created by joining Tables KONP and A073

32

On the BW side, Material Master:

Material master is loaded by following datasources:

0MATERIAL_ATTR ZMRP_MTL_ATTR

5.2. Plant Master

33

In order to capture City and Mall Information, Plant wise City and Mall data is loaded into Plant (Store) Master through Excel File.

Plant Master Data is updated by the following two InfoSources:

Plant Attributes 0PLANT_ATTR Additional Plant Master ZSITE_MAS

Appendix A

34

BW CMOD Customer Exits

T-Code: CMOD

Click on Display to Enter the Next Screen

Click on EXIT_SAPLRRS0_001 to Continue

35

Click on ZSRSRU01 to enter the screen where Codes are written

Following Codes are used in Bill wise Analysis Report

*&--------------------------------------------------------------------**& Include ZXRSRU01*&--------------------------------------------------------------------*

DATA: L_S_RANGE TYPE RSR_S_RANGESID.DATA: LOC_VAR_RANGE LIKE RRRANGEEXIT.DATA: l_s_var LIKE RRRANGEEXIT.

data: l_text type rstxtsh.

36

CASE I_VNAM.

WHEN 'ZVTEXT1'.

IF I_STEP = 2.

LOOP AT I_T_VAR_RANGE INTO LOC_VAR_RANGEWHERE VNAM = 'VAR_20081010080528'.CLEAR L_S_RANGE.

*clear l_text.*l_text = LOC_VAR_RANGE-LOW.

l_s_range-low = LOC_VAR_RANGE-LOW.l_s_range-sign = 'I'.l_s_range-opt = 'EQ'.

append l_s_range to e_t_range.

EXIT.ENDLOOP.ENDIF.

WHEN 'ZVTEXT2'.

IF I_STEP = 2.





EXIT.ENDLOOP.ENDIF.

37

WHEN 'ZVTEXT3'.

IF I_STEP = 2.





EXIT.ENDLOOP.ENDIF.

WHEN 'ZVTEXT4'.

IF I_STEP = 2.





EXIT.ENDLOOP.ENDIF.

ENDCASE.

38

Appendix B

Relevant Screen Shots

1. Data Warehousing Workbench: Modeling

39

2. Retail Area

3. Inventory Area

40

4. Business Content

41

5 Transport Connection

42

Appendix C

C.1 Important T-Codes

C1.1 BW

RSA1 Data Warehousing Workbench: Modeling

RSA7 Delta Queue

SE09 Transport Organizer

STMS Transport Management System

SM37 Simple Job Selection

SM50 Process Overview

RSA5 Installation of DataSource from Business Content

RSA6 Postprocess DataSources

RSKC Maintenance of Permitted Extra Characters in BW

PFCG Role Maintenance

RSPC Process Chains

SU01 User Maintenance

RSMO Monitor Administrator Workbench

C1.2 ISR

LBWE LO Cockpit

RSA3 Extractor Checker

RSA5 Installation of DataSource from Business Content

RSA6 Postprocess DataSources

RS02 Maintain Generic DataSources

SE11 ABAP Dictionary: Initial Screen

SE16 Data Browser Initial Screen

43

Appendix D

Notes Implemented

SAP Note 1139547: Transport of InfoObjects RC = 8; follow-on note to 1100575

SAP Note 1116174: MultiProvider on non-cumulative cube

44

https://websmp206.sap-ag.de/~form/handler?_APP=01100107900000000342&_EVENT=REDIR&_NNUM=1116174&_NLANG=E

https://websmp206.sap-ag.de/~form/handler?_APP=01100107900000000342&_EVENT=REDIR&_NNUM=1139547&_NLANG=E

BI Configuration SAP

Documents

Transcript of BI Configuration SAP