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