BW Overview - Barlo

7/28/2019 BW Overview - Barlo

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Architecture of Business Intelligence

Capabilities of BI analysis and reporting

Executing Querys and Web Querys

Master Data Management


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Describe the architecture of SAP BI

Goals and Prerequisites of a DATA

WAREHOUSE

List the prerequisites for data modeling

Locate the predefined Business Contentobjects, which are easy to copy


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Essentially, the purpose of BI is simple: OnlineAnalytical Processing (OLAP) of large volumesof operative and historical data. OLAP

technology makes multidimensional analysispossible from various business perspectives.

BI facilitates the purposeful distribution ofinformation within companies according to itsdivision of roles.


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Information systems must meet the followingdecision-makers. Requirements: Immediate, single-point access to all relevant information

from any source

Full coverage of all business processes Cross-system and cross-process analyses have anincreasingly important role.

High-quality information Data contents and the option of flexible data analysis are

important here. High-quality support for decision-making based on the

requirements of operational and strategic management Shorter implementation time with no labor-intensive data

staging required


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The essential differences between OLTP

environments and OLAP environments are asfollows: Level of Detail

OLTP : High level | OLAP : High Performance compressed

History Minimal data in OLTP after Archive | Comprehensive in WH.

Changeability Operation frequently changed | Analysis frozen after point in time

Integration

integrated information for analysis is very high Normalization

Less is used en warehousing due to performance

Optimized access OLAP optimum read access


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Key figures :are values or quantities (forexample, sales revenue, fixed costs, number ofemployees, order quantity, and so on).

Characteristics : represent the reference values

for key figures. In other words, key figures areapplied to characteristics. Examples include:

The order quantity (key figure) of a customer(characteristic) or the sales revenue (key figure) of an

article (characteristic)

A dimension :is a view of the key figures.


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Collect all of the information requirements forthe area for which you want to use SAP BI.

Structure the information requirements in theform of a logical model.

Transfer the data into a physical data modelcontaining all of the required SAP BI

InfoObjects. Check whether you can use the objects

delivered by SAP.


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SAP Business Suite Predefined extractions structures

NetWeaver Exchange Infrastructure (SAP XI)

SOAP used to transfer through XI Non-SAP systems

External OLTP Providers

Data providers

Import data through BI target oriented Data Databases (DB Connect) and UDI

Load data from external database systems


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Determine the basic key figures and comparethese with the Business Content in themetadata repository.

Compare the scenarios in your logical datamodel with the Business Content InfoCubes,queries, and workbooks.

Check the Business Content queries for yourkey figures.

Check the data flow for the key figures youhave determined.


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Bex broadcaster

Broadcast in pdf file format

Print using braodcast

Other broadcsting options

Bex report designer

Display as pdf File

Print Display in Web


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The option of distributing reporting results tovarious groups.

The following are scenarios in which you can use

information broadcasting: A team wants to receive immediate e-mail notification

about low sales figures.

Weekly reports should be updated every Friday morning,

so that they are available in sufficient time for the teammeeting in the virtual rooms on SAP NetWeaver Portal.

An employee wants to receive a warning message if oneof his or her TOP customers is experiencing long waittimes for a delivery.


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Notification of changes

Option for personal notes

Feedback and evaluation

Searches and classifications for full textattributes

Available for administrators and end users

Published ad-hoc, planned or event triggered Publication in different formats


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Consequently, the following factors come intoplay as cost drivers:

Maintenance and operating costs

Integration costs, in particular, when a company isrestructured Upgrades require more effort and newsystems are not easy to integrate.

Efforts required in reporting


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Master data cleansing To ensure comparability between the different versions of

master data, you can use master data cleansing tonormalize and standardize the master data

Master data validation

You ensure that all of the master data corresponds to thedefined rules.

Master data enrichment You can complete or correct incomplete or incorrect

master data

Deduplication You can use the search and compare functions (matching)

to identify duplicates and to merge master data recordsinto one master data record (merging) to generate unified,consistent data.


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Architecture of Business Intelligence

Capabilities of BI analysis and reporting

Executing Querys and Web Querys

Master Data Management

Documents

BW Overview - Barlo