introduction to sap bw

7/17/2019 Introduction to SAP BW

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Introduction to SAP BW


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4. Common Object in SAP BW

2. Multi Dimensional Modeling in SAP BW

1. SAP BW Ovevie!

". Administato Wo#benc$


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1. SAP BW Ovevie!



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%aunc$ of t$e &'" Business A((lication Soft!ae1))2

1))"

1))*

1))+

1)),&elease of Business -nfomation Wae$ouse

BW/

&elease of -nfomation S0stems -S/ fo inancials3%ogistics3 uman &esouces and 5ecutive 5nvionment

O(en -nfomation Wae$ouse 6 t$e integation

fame!o# fo t$e diffeent -nfomation S0stems -S/

BAP-s enable "d (at0 (esentation toolsto access O-W data

277+ &elease of SAP 8etWeaveBusiness -ntelligence

1.1 R/3 Analytical Reporting Evolution

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%ogistics

SAP 6 &'"

Contolling inanceuman

&esouces

5nte(ise

Contolling

%ogistics

-S

Contolling

-Sinancial

-Suman &es.

-S

5nte(ise

-S

O(en -nfomation Wae$ouse


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Pros

Standard structures delivered with the system Limited LAP capa!ilities and drill"down to transaction level and

documents

Security in Standard Analysis

E#ception reporting

Cons

Limited num!er o$ dimensions and

%se o$ many structures &or high volumes' impact per$ormance

Standard (n$ormation Structures not always usa!le

Level o$ e)ort to create and test (n$o Structures

Security in *le#i!le Analysis is wea+


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1., - verview and Concepts

- is SAPs entry into the 0ata arehousing mar+et. (t isdesigned to provide corporate reporting and 0ataarehousing solutions $or SAP customers

- is an end"to"end data warehousing solution that usespree#isting SAP technologies.

- is part o$ the strategic initiatives o$ SAP "

ew 0imension Products and -usiness *ramewor+ - is SAPs answer to the limitations &product gaps' o$ the

prior R/3 reporting (n$ormation Systems

- is dynamic evolving product2 - ersion started $rom 1.,A and now the latest version is eteaver -( 4.56

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1.3 hat is 0ata arehousing 7

0ata arehouse can2

Pool data $rom di)erent8 mostly heterogenous sources vercome this heterogeneity on di)erent levels &system8 schema8 and data'

Stage data in the $orm re9uired !y the user

hat we e#pect $rom 0ata arehouse2

Standardi:ed structuring and presentation o$ all company in$ormation

An easy"to"use8 single"point o$ access to all company in$ormation

Sophisticated !usiness reporting methods $or sel$"service analysis at all levels

*ast and cost"e)ective installation

A high per$ormance environment

0ata staging $rom heterogeneous environment

Release o$ source systems and (; organi:ation

0ata access that is independent o$ the source system

Analysis o$ data over a speci


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Differences between OLTP and OLAP


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1.5 SAP -usiness arehouse Architecture

;he SAP - allows you to analy:e data $rom operational SAP

R/3 applications or any other !usiness application. =ou canalso e#tract and analy:e data $rom e#ternal sources.

;he system &data storage8 loading8 and reporting'8 which is

precon


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1.5 SAP -usiness arehouse Architecture

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1.> - Standard -usiness Content2

- Standard -usiness Content2 is delivered !y SAP

ne o$ the -?s strongest selling points is its -usiness

Content.

-usiness Content is a complete set o$ - o!@ects developed

!y SAP !ased on prede


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- includes standard !usiness content $or R/3

*inancials and Controlling

Logistics &S08 8 PP'

Buman Resources

Asset anagement

Plant aintenance

Service anagement

uality anagement

Pro@ect Systems

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Supported R/3 Modules


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1.3 - Standard -usiness Content2

*inancials

Accounts Receiva!le Deneral Ledger

Controlling

Pro


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SAPStategic

5nte(ise

Management

ManagementCoc#(it

SAP %ogistics

5ecution

S0stem

SAP B2B

Pocue6

ment

SAP Sales

SAP Ma#eting SAP Sevice

-nfo DB

SAP B-

SAP SCM

SAP C&M

SAP APO

BW

&uman&esouces

-inancialAcct.

COContolling

Audit

9a

9ec$

SDSales :Dist.MM

MateialsMgmt.PP

PoductionPlan

;M;ualit0Mgmt. PM

PlantMaint.

SMSeviceMgmt.

WMWae$ouseMgmt. PS

PojectS0stems. SAP r!"ects new a#icati!ns wi## acc!$nt f!r %!re t&an

30' !f its b$siness b( 2001)Forrester, Packaged Applications Strategies, vol 3 # 14, Nov 30, 1998

SAPs Strategy

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1. SAP BW Ovevie!



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,.1 Classic Star Schema

ulti"dimensional data models are needed $or the creation o$

data warehousing or LAP applications8 in other words8 $oranalytical applications. ;he classic star schema is the most

$re9uently used multi"dimensional model $or relational

data!ases. ;his data!ase schema classi


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,.1 Classic Star Schema

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,., SAP - Star Schema

;he multi"dimensional model in SAP BW is based on the SAP

BW star schema, which was developed as an enhanced(refned) star schema as a response to problems experienced

with the classic star schema.

(n the SAP BW- star schema, the distinction is made between

two sel-contained areas !no"#be

$aster %ata &ables'S#rroate !% (S!%-) &ables

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Info%u$esare the central o!@ects o$ the multi"dimensional model in

SAP -. Reports and analyses are !ased on these. *rom a reporting

perspective8 an (n$oCu!e descri!es a sel$"contained data set within a

!usiness area8 $or which you can de


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Connecting aster 0ata ;a!les to an (n$o Cu!e


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(n$o cu!e"(ndependent use o$ aster 0ata


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Ad&antages and Disad&antages of te %lassic Star

Sce"a Ad&antages* Data access runs perfor"antly due to te s"all nu"$er of -oin

operations (tere are only -oin operations $et)een te fact ta$les

and te in&ol&ed di"ension ta$les#'

Disad&antages*

Redundant entries e!ist in te di"ension ta$les

In contrast to te istori.ation of fact data (te ti"e reference is

gi&en i"plicitly &ia te ti"e di"ension ta$le# istori.ation of

di"ensions ( 0slo)ly canging di"ension1# is not easy to "odel'

+e "ulti2lingual capa$ility is cu"$erso"e'

Modeling so"e ierarcy types (parallel and i"$alanced ierarcies

for e!a"ple# in a di"ension can lead to ano"alies'

uery perfor"ance is also "ade )orse since aggregates and Basis

fact data are stored in te sa"e ta$le (fact ta$le#'

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Ad&antages of te SAP BW Star Schema

The use of automatically generated INT4 keys I (SID keys, DIID keys!

ena"les faster access to data than #ia long al$ha%numeric keys& Thanks to

the e'ca#ation of master data from the dimension ta"les using the SID

techniue, the follo)ing modeling $ossi"ilities e'ist *

+istoriing dimensions

ulti%lingual ca$a"ility

-ross%Info-u"e use of master data (. /shared dimensions0!

The uery $erformance is im$ro#ed here as aggregated key 1gures can

"e stored in their o)n fact ta"les&

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4. Object in SAP BW


1. SAP BW Ovevie!



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3. Administrator or+!ench

;he A- is the primary administration"8 control"8 and

monitoring tool in -8 and so is the data warehouse managero$ SAP -. =ou can use A- to manage8 control and monitor

all relevant o!@ects and processes in SAP -. As well as

de


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;code RSA4will ta+e us to modeling section o$ administration wor+!ench


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5.1 Common !@ect in SAP -

-elow is list o$ common o!@ect that used in SAP - 2 (n$o !@ect

Characteristic Fey *igure

(n$o !@ect Catalog %se to group the in$o o!@ect &same li+e $older'

(n$o Source ;rans$er rule ;rans$er structure

Communication Structure (n$o Area

%se to manage the o!@ect in SAP - &same li+e $older'

0ata Store !@ect &0S'

0etail level o$ 0ata Store li+e Gat ta!le in SAP

(n$o Cu!e

ulti 0imensional ;a!le %pdate Rule speci


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Det *amiliar with the icon in SAP -

Info Area is $older li+e. (t uses to manage all the component in SAP -.

Info 5$-ect %atalog. (t uses to manage the in$o o!@ect. (t is divided into ,types2 %aracteristic Info 5$-ect %atalog2 uses to store and manage all the

characteristic (n$o o!@ect 6ey 7igure Info 5$-ect %atalog2 %ses to store and manage all the +ey


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Det *amiliar with the icon in SAP - &Cont.'

Info Source is a 9uantity o$ in$ormation that logically !elongs together8summari:ed into a single unit. (t prepares consolidated data $or updating to the datatargets. (n$o Sources contain either transaction data or master data &attri!utes8 te#tsand hierarchies'.

+ransfer Structure is the structure in which the data is transported $rom thesource system into the SAP -usiness (n$ormation arehouse

%o""unication Structure is the structure underlying the (n$oSource

+ransfer Rule uses to determine how you want the trans$er structure


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(n$o !@ect

(n$o!@ects are the Hsmallest availa!le in$ormation modulesI &J


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(n$o!@ects are divided into the $ollowing classes &cont.'2 "haracteristic

Characteristic (n$o!@ects are !usiness re$erence o!@ects8 which are used to analy:e +ey


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(n$o!@ects are divided into the $ollowing classes &cont.'2 +ecnical %aracteristics

;hese characteristics have an organi:atorial $unction within SAP BW.

E#amples2 Re9uest (0 &6RE%(0' Change (0 &6CBD(0'

(n$o!@ect 6RE%(0 delivers the num!ers the system allocates when loading

re9uestsK (n$o!@ect 6CBD(0 delivers the num!ers allocated during

aggregate change runs.

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(n$o Provider

An (n$oProvider is an o!@ect $or which 9ueries can !e created or e#ecuted in -E#.

(n$oProviders are physical o!@ects or sometimes logical viewsM that are relevant

$or reporting.

(n$oCu!es

(n$oCu!es are the primary o!@ects used to support -( 9ueries. ;hey are designed to

store summari:ed and aggregated data8 $or long periods o$ time. =our goal indesigning a warehouse is to ensure that most 9ueries initially target this type o$

data!ase o!@ect

0ataStore !@ect

0ataStore o!@ects are another primary physical data!ase storage o!@ect used in -(.

;hey are designed to store very detailed &transaction level' records.

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5., (ntegration o$ (n$o Provider in SAP -

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5.3 A-AP use

A-AP use $or - $ocus $rom report creation to datapreparation and preprocessing $unctions during E;L process

in -

Si# places during e#traction8 including creating custom0ataSources8 enhancing 0ataSources8 and data selection in(n$oPac+ages

Si# places during staging8 including currency/units o$ measureconversions8 trans$er routines8 and update rules

*our places during reporting8 including generating system"entered varia!les and the report/report inter$ace

Also used at pen Bu! Service trans$ormations8 !uildingauthori:ation values8 process chains8 and virtual (n$oCu!eswith services.

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5.3 A-AP use

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Any Questions ?

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