-by

Rahul Sindhwani

SAP BI/BW

What is BI ? SAP BI History of SAP BI ETL Process Architecture of SAP BI Typical Data Flow in SAP BI Data Model – Info Object, Infocube(Star

Schema Extended Star Schema ,DSO etc Business Explorer (Bex Analyser , Query

Designer)

SCOPE/ AGENDA

Agenda

What is Business Intelligence?

Gathering

Storing

Analyzing

Providing Access to data

Make better Decisions

BI answers following questions

What is the current status of the business?– What’s going well?– What needs improvement?

What are the business’ strengths and weaknesses?

How do we improve our decision making?

Yesterday – Now - Tomorrow

Business Intelligence Turns Data into Knowledge

Data

Information

Knowledge

Decision

SAP BISAP BI Data Warehousing Solution by SAP

Flexible reporting and analysis tool for evaluating and interpreting the data.

Business data integrated, transformed, and consolidated in Sap BI.

History of SAP BISAP launched the product in 1997 by the

name “Business information Warehouse (BIW), Version 1. 2A

Product Name Changed to “Business Warehouse” (BW) with version 3.0A

Named “Business Intelligence “BI” with version 7.0

ETL (Extraction, Transformation, Loading)

Data Analysis & Planning

Tools for accessing and visualizing data

Publishing content from SAP BI

Performance

Security

BI Content

Key Functionalities of SAP BI

ETL Process The process of the extracting data from

Source systems and making it useful for our needs is ETL

 SAP systems (S-API Service Application

Programming Interface)

 BI systems

 Flat files

 Database management systems (DB Connect)

 Relational or multidimensional sources (UD

Connect)

Web Services

Source Systems

Direct assignment

Constants

Reading master data

Routines

Formula

Initial

Transformation

DATA STORAGE AND

DATA FLOW

Typical Data Flow in SAP BI

Transformation 1

Transformation 2

Infopackage

DTP

DTP

Data Source is a set of fields that are provided to transfer data into BI

1) DataSource for transaction data2) DataSource for master data

DATASOURCE

PSA The Persistent Staging Area (PSA) is the

storage area for data from the source systems in BI.

The requested data is saved, unchanged from the source system.

Starting point (entrance) of data into BI system

DSOA DataStore object serves as a storage

location for consolidated and cleansed data.

The data in DataStore objects is stored in transparent, flat database tables.

This data can be evaluated using a BEx query. Contain 1) Key Fields (Ex Doc number, item

etc 2) Data Fields

Determine the sales amount for customers located in ‘New York’ with Material Group “ABC” in the year 2011

Dimensions /Characteristi

cs

Bex Query Designer

Bex Analyzer

Process Control in BW Data Load

Monitor

Data Target Maintenance

Start 1

Load into PSA

3

Load into ODS

4

Activate Data in

ODS

5

Further update

6Build Indices

7

Build DB Statistics

8

Roll up Aggregate

9

Drop Indices 2

Advantages of SAP BICovers Major Business Processes

Simple access to business information via a single point of entry

High performance environment.

Standardized structuring and display of all business information

Infosets now can include Infocubes as well

Remodeling. This is only for info cube.

The BI accelerator (for now only for infocubes) helps in reducing query run time

Search functionality hass improved. You can search any object.

The Data Warehousing Workbench replaces the Administrator Workbench

Major Differences between Sap Bw 3.5 & sapBI 7.0 version

THANK YOU

Transfer and Update rules replaced by Transformation

Load through PSA has become a mandatory

Introduction of "end routine" and "Expert Routine“

Renamed ODS as DataStore.

Introduction of Write optimized DSo