SAP BWSAP BI

D a t a W a r e h o u s i n g

Topics: Day 1

What is SAP? What is SAP BW or BI? Basic concept of Data Warehousing OLTP vs. OLAP

SAP

SAP AG is the name of the biggest European software company. The head office is in Walldorf, Germany. SAP was founded in 1972 as Systemanalyse und Programmentwicklung ("Systems Analysis and Product") by five former IBM employees in Mannheim, Germany

SAP BW

SAP Business Information Warehouse (SAP BW) is the name of the Business Intelligence, analytical, reporting and Data Warehousing (DW) solution which is one of the major enterprise software applications produced by SAP AG. It was originally named SAP BIW, (Business Information Warehouse), but is now known as "SAP NetWeaver BI".

SAP BW is now part of a suite of SAP applications called SAP NetWeaver. Other components of SAP NetWeaver include SAP Enterprise Portal (EP or SAP NetWeaver Portal 7.0), Web Application Server (WAS), SAP Process Integration (PI) and Master Data Management (MDM).

Why SAP BW/ BI?

Business Example

Business Trend

Information System Demand Immediate single-point access Coverage of all business process High quality information Quality decision support system Short time with less resource and less effort

Data Warehouse Definition More information stored with more detail Reduce data Structure data Meaningful analysis

So, Data Warehouse brings together from heterogeneous operative data sources and

have different degrees of detail in a scalable form for future requirements and analysis to

the organization.

Data Warehouse Properties Read-Only Access Cross Organization Focus Time-Period Historization Efficient Query Processing Evolution Tool

Data Warehouse Aims…

Modern Data Warehouse must havefollowing objectives Standardized structuring and display of all

business information Simple access to business information via

single point of entry Highly-developed reporting for analysis Quick and low cost implementation High performance environment. Data modeling

from heterogeneous sources Relieving OLTP systems

Distinction between the Operative/inoperative Environment

Distinction between a Data Warehouse and an OLTPSystem cont.

Level of detail History Changeability Integration Normalization Optimized

Distinction between a Data Warehouse and an OLTPSystem cont.

Operative OLTP environments are fundamentally different to analytical OLAP/ data warehouse environments in the following ways:

Readings

BI Capabilities Chapter 1: BW310 OLTP VS OLAP

Day 1: Summery

SAP and SAP BW or BI What is Data warehouse? MIS Modern MIS demand OLTP and OLAP