Business Warehouse 2

8/8/2019 Business Warehouse 2

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B in r h

B A S I C B U I L D I N G B L O C K S :

K E Y F I G U R E S A N D C H A R A C T E R I S T I C S


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BW Architecture


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BW Architecture


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Master DataBusiness Warehouse

Master data is informationabout roducts customersemployees, vendors etc. who

are important to our.

We store master data only once in the business

ware ouse, us as we s ore e a a on y once n

Question: Why have master data both in R/3 and in theBusiness Warehouse?


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BW Architecture


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ODS Object

Operational Data Store, now called DSO, or Data Store Object.

A DSO is a transaction file whichcaptures sales transactions, purchases,payroll transactions, etc. Each transactionis identified with a record key.

We can build DSO files from R/3 transactions, joininginformation from various tables within R/3 to provide a singledata source for users to query and analyze. A DSO is a Data

are ouse.

Users can easily run simple queries on DSO Objects


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BW Architecture


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Data Cube

A data cube is a multidimensional dataobject. It contains summarized data,genera y over a ong per o o t me.

.They make it possible for users to slice and dice the data,and to drill down to increasing levels of detail.


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Example Data Cube Design


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BW Architecture


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Analysis Tools

Data Mining

na ys s an uery oo s

Web Develo ment

Planning

Integration to the SAP Enterprise Portal


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ETL-Extraction Transformation andLoading


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Info Areas

An InfoArea is a folder which contains InfoProvidersan n o ec ca a ogs use n e same us ness

context. (i.e. a project)

Every InfoObject catalog belongs to exactly one singleInfoArea.

InfoAreas and InfoObject catalogs help organizeproject work in large SAP BW implementations. For

,claims, another for Sales information, another forpurchasing information.


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Example InfoArea

InfoAreas

InfoArea Icon


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InfoObject Catalog

A Folder which contains either Characteristics or Ke

Figures

Belongs to only one infoArea

Helps us organize the building blocks for a project

InfoCatalog Icon


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InfoObject Catalog Structure

InfoObject Catalog


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InfoObjects

InfoObjects are the basic building blocks of all ODS objects,aster ata, an ata cu es n .

They are divide into characteristics (for example, address),ey gures or examp e, revenue , un s or examp e,

currency, each, lbs), time characteristics (for example, fiscalyear) and technical characteristics (for example, request

num er .


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Characteristics

Characteristics are used to describe and sort data, and would, , ,

or region.

therefore reference objects for the key figures. (Example: Salesby State Sales (key figure) sorted and grouped by State

(characteristic).

In the InfoCube, for example, characteristics are stored indimensions.

These dimensions are linked by dimension IDs to the key figuresin the fact table.


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Characteristics

The characteristics determine the degree of detailgranu ar y a w c e ey gures are ep n

the InfoCube.

In general, a data target contains only a sub-

quantity of the characteristic values from the.

The master data includes the ermitted values for

a characteristic, which are known as thecharacteristic values.


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Exercise #1

Create Characteristics for our T son Frozen Foods

Logistics Cube


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Key Figures

Key Figures represent values or quantities that arerepor e on n a query. ey orm e a a par o

a data target.

Examples of key figures include the following:

Sales revenue, fixed costs, quantity, amount, sales, .

Examples of derived key figures include the

o owing: Sales revenue per employee, variance as a percentage, or

contribution mar in.


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Units

Units are re uired so that the values for the ke

figures have meanings.

Key figures of type amount are always assigned a

currency key and key figures of type quantity alsorece ve a un t o measurement.


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Exercise #2

Create Ke Fi ures for our T son Frozen Foods

Logistics Cube

Business Warehouse 2

Documents

Transcript of Business Warehouse 2