PPT just gives you an idea about SAP BW

1. -by
Rahul Sindhwani

2.  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)

3. What is Business Intelligence?

4.  Gathering
 Storing
 Analyzing
 Providing Access to data
 Make better Decisions

5.  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?

6. Decision
Knowledge
Information
Data

7.  SAP 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.

8.  SAP 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

9.  ETL (Extraction, Transformation, Loading)
 Data Analysis & Planning
 Tools for accessing and visualizing data
 Publishing content from SAP BI
 Performance
 Security
 BI Content

10.  The process of the extracting data from Source systems
and making it useful for our needs is ETL

11.  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

12.  Direct assignment
 Constants
 Reading master data
 Routines
 Formula
 Initial

13. DATA STORAGE
AND
DATA FLOW

14. Transformation 2
DTP
Transformation 1
DTP
Infopackage

15.  Data Source is a set of fields that are provided to
transfer data into BI
1) DataSource for transaction data
2) DataSource for master data

16.  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

17.  A 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

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

24. Load into PSA
3
Data Load
Monitor
Drop Indices
2
Load into ODS
4
Start 1
Roll up
Aggregate
9
Activate
Data in
ODS
5
Build DB
Statistics
8
Data Target
Maintenance
Further update
6
Build Indices
7

25.  Covers 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

26.  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

27. THANK YOU

28.  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