SAP - BI
Overview of SAP BI Architecture
Before we learn more about SAP BI Architecture, lets learn about Conceptual Layers of Data...
Infocube is data storage area in which we maintain data which we are extracting from source system physically. An InfoCube can function as both a data target and an InfoProvider. From a reporting point of view, an Infocube can be described as a self-contained dataset.
For example, a Sales Amount Infocube which has dimensions like MONTH – PRODUCT-CUSTOMER-REGION, can be viewed by any of the axes, for example total sales by region or by customer. The dimensions of an Info-Cube are entities or hierarchies.
BIW ( Business Intelligence Warehouse) provides facility to define 16 dimensions, out of which 3 are pre-defined.
The above cube demonstrates a simple 3 dimensional cube. Each dimension can hold 248 characteristics for analysis. One square in the cube above, represents the relative value for the corresponding customer/region/division combination.
InfoCube Structure:
Type of InfoCube
Infocube is classified in to three types based on the way of maintaining and distributing the data.
Step 1)
Create InfoCube
Step 2)
Step 3)
Click the create button
Step 4)
Right Click on Dimension 1 -> Properties.
Step 5)
Rename the Dimension as per Info object information.
Step 6)
Right click on the Dimension ->InfoObject Direct Input to Insert InfoObjects into the Dimension.
Step 7)
Select Characteristics.
Step 8) Select Airline ID in characteristics
Drag and drop it into Dimension
Step 9)
Similarly create new dimensions and follow the steps 4-8 to add the InfoObjects.
Step 10)
Adding Key figureInfoObjects in the Infocube
Step 11)
Follow the proesses above to add more Key Figures
Step 12)
Activate the Infocube.
The technical name of the dimensional table is assigned by the system, using the pattern /BIC/ “D<your Infocube>#”, where the first # will be a1, the second a 2, and so on.
If it is a sap delivered cube, then it would begin as /BI0/D
Characteristics Infoobjects can be freely added to customer-created dimensions.
Dimension Tables should be used optimally.
Ensure optimum cardinality while adding characteristics infoobject to dimensions.E.g. A departmental store has 10,000 customers and 1000 different materials. The cardinality is m:n, which means each customer can buy many materials. Such kind of cardinality should not be maintained in the same dimension table.
Thumbrule : Avoid m:n within a dimension.
Dos
Don’ts
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