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LCC InfotechAn ISO 9001:2008 Certified Company
Corp. Off : Himayath Nagar
401, 4th
Floor, Victory vision, Beside KFC, Ph: 66660770 / 66770770.
Branch Off : Secunderabad
503, 5th
Floor, Navketan Complex, Opp. Clock Tower. Ph: 66312004 / 66489737.
Email: hr@lccinfotech.org Website: www.lccinfotech.org
SAP BI & BO Contents
SAP BI Contents
Intro to Data warehousing
 Introduction to Data warehousing
 Father of Data warehouse
 Definition of Data Warehousing
 Key functions of Data Warehousing
 Applications & Types of SAP
 Over view of SAP R/3 Types of Applications
 OLTP
 OLAP
 R/3 Architectures
 Landscape of SAP
 Transportation
 Package
 Request no
 Return codes
 Types of Data
 Master data
 Transaction data
 Master Data
 Attribute data
 Text data
 Hierarchy data
 Transaction data
 Header data
 Item data
 Scheduling data
 Star Scheme Concepts
 Classical star schema.(DW)
 Extended star schema.(BW)
SAP BW/BI Introduction
 Introduction to SAP BW/BI
 History of SAP BW/BI
 Necessity of SAP BW/BI
SAP BW/BI Architecture
a) Source System & Target System
b) Source system connections
c) Data Modeling, Loading and Extraction
d) Data Reporting
SAP BW DATA Modeling
 Info area
 Info objects Catalog
 Info objects
 Info source
 Direct update
 Flexible update
 Data source
 Source system
 Application component
 Transfer rules
 Transfer structure
 Communication structure
 Info providers
 Data targets
 Info cubes
 Standard Info Cube
 Real-Time Info Cube
 ODS
 DSO
 Standard DSO
 DSO for Direct Update
 Write-optimize DSO
 Update rules
 Transformations
 DTP – Data Transfer Process
 Standard DTP
 Error DTP
 RDA DTP
 Direct DTP
 Info package
 Extract structure
 PSA
 Standard PSA
 Error Stack PSA
 Data Acquisition
 Standard
 Real Time
SAP BW DATA Loading & Scheduling
Data loading using flat files
 Attribute data
 Text data
 Hierarchy data
 Transaction data
 BW Architecture
 PSA Maintenance
 Scheduling the data
 Data packet by data packet
 Complete data scheduling
 Scheduling in background
 PSA Processing types
 Terminating errors while loading the data
 Increasing the data packet size
 Scheduling the data in background
 Monitoring the data loading
 Debugging the Data while loading
DATA STORE OBJECT
 New data table
 Active data table
 Change log type
DATA STORE OBJECT SETTING
 Automatic
 Manual
 Details
 DSO – Info Cube
 Info Cube - Info Cube
 DSO–DSO
 Multi providers
 Info set
 INFOCUBE.
 Partitioning
 Line items dimensions
 Performance issues
 Roll up
 Aggregate
 Collapse
 Deletion of data from data Targets
 Complete deletion of data
 Deleting data by request id
 Selective deletions
New Enhancements of SAP BW 7.3
 Loading Hierarchies using BI7.0 Datasource
 Generic delta functionalities for Non -SAP datasources to extract data from Non -SAP source systems
 Semantic Partitioning
 New monitors in BW Administration cockpit
 Generic delta functionalities for further types of Data Sources
 Open Hub Service
 Transformation
 Hybrid Infoprovider
 Transformation Enhancements
 DTP Enhancements
 Multiprovider as a source
 Process Chain Enhancements
 Data Flow Wizard and Data Flow Copy tool
 Data Flow Migration Tool
 Enhancements to RDA
 Info package Enhancements.
SAP BW DATA Extraction
 Application Specific Extractors( BW Content Extractors & Customer Generated Extractors)
 Cross Application Specific Extractors ( Generic Extractors)
 Flat files
 LOS
 LIS
 Generic Extraction
 Master data
 Transaction data
 DB connect
 Business content extraction
 Generic delta
 BW Data Source Enhancement
 Error handling
SAP BW DATA Transportation.
 System Landscape
 Transportation Landscape
 Overview of Transports
 Objects Collection in Transports
 Sequence of Transports Migration
 Transports Collection & Setting
 Transport Issues
 Assigning object to the requests
 SAP BW Integration
 SAP BW/BI – BO Integration.
 SAP BW/BI With HANA.
 SAP BW/BI Batch Job Monitoring Tools.
 Importance of SAP ABAP/4 & Basis in BW/BI.
SAP BW Performance Tuning Techniques
 Partitioning
 Compressions
 PSA Table Deletions
 BI Accelerator
SAP BO Course Contents
Introduction to SAP BO
Introduction : Integration with SAP BI – BO
Topics Covered :
1. Universe Designer.
2. Information Design Tool.
3. Crystal Reports.
4. Web Rich Client ( Web Intelligence).
5. DashBoards.
1. Universe Designer
 Understanding how universes allow users to query databases using their everyday business terms
 Creating an ODBC connection to the course database
 Creating a universe
 Populating the universe structure
 Defining joins in a universe
 Solving Loop Issues .
 Aliases .
 Contexts .
 Creating a Context .
 Chasm Traps
 Fan Traps
 List of Values and Cascading Prompts
 Customized LOV
 Customizing an LOV from a File
 Cascading Prompts
2.Information Design Tool.
Getting Started with IDT
 Starting IDT
 Creating a Project
 Defining a Database Connection
 Creating a New ConnectionOpening an Existing Universe
Creating a Data Foundation
 Create a Data Foundation
 Selecting Tables
 Creating Joins
 Editing Joins
 Cardinality
 Test Integrity
 Self Joins
 Shortcut Joins
 Derived Tables
Resolving Join Issues
1. Resolving Join Problems
2. Solving Loop Issues
3. Aliases
4. Contexts
5. Creating a Context
6. Chasm Traps
7. Fan Traps
Creating a Business Layer
 Creating and Editing Objects
 Hiding Objects
 Object Properties
 Creating and Editing Measures
 Formatting Objects
 Creating Custom Objects
 Creating Detail Objects
 Prompt Objects
 Creating Time Objects
 Creating Condition Objects
 Creating Objects from Database Functions
 List of Values and Cascading Prompts
 Customized LOV
 Customizing an LOV from a File
 Cascading Prompts
3.Crystal Reports
 Formatting and summarizing data
 Filtering, sorting and grouping data
 Customizing reports with business logic
 Connecting to SQL Server, Oracle and Access databases
The Crystal Report Writer
Writing a basic report
 Selecting a format
 Adding text and fields
 Connecting to remote data sources
Formatting and styling
 Tailoring sections within a report
 Designing fields for quality presentations
 Highlighting data with Highlight Expert
Establishing data connections
 Creating a connectivity checklist
 Configuring ODBC and OLE DB
 Integrating SQL commands in a report
Interpreting Structures and Retrieving Data
Navigating complex data
 Deciphering data structures
 Identifying data relationships
Gathering the right data
 Merging data from multiple tables
 Building business queries
Combining Powerful Report Techniques
Organizing and summarizing reports
 Sorting user sort control and grouping
 Summary and Rolling Total fields
Building advanced reports
 Embedding linked and unlinked subreports into reports
 Creating crosstab and drill-down reports
Visualizing complex data
 Simplifying data with charts and graphs
 Organizing fields into sections
 Adding, merging, suppressing sections
Programming Data Functionality
Coding in formula language
 Working with variables and operators
 Deciphering formula syntax
 Adding and modifying formulas
 Calling and working with functions
 Creating a Report with Running Totals
 Formulas and Functions
 Using String Functions and Operators
 Using Date and Time Functions
Parameters, Filters, and Prompt Panels
 Examining Standard Parameters
 Using Interactive Filters
 Using Prompt Panels and Responding to Parameter
Writing effective formulas
 Building if/then/else statements
 Converting and comparing data
Exporting reports to PDF, Excel, Word and HTMl
4.Web Rich Client (Web Intelligence)
 Introduction to desktop intelligence
 Report Creation
 Publishing the report
 Understanding how universes allow you to query database using everyday business terms
 Understanding Web Intelligence core functionalities
 Creating a document in the Web Intelligence Rich Client
 Viewing a Web Intelligence document in Info View
 Building a simple query
 Modifying a document query
 Working with query properties
 Restricting data with query filters
 Modifying a query with a predefined query filter
 Applying a single-value query filter
 Using prompts to restrict data
 Using complex filters
 Working in the Report Panel
 Displaying data in tables and charts
 Using breaks and cross tabs
 Formatting break, calculations, and report filters
 Formatting breaks and cross tabs
 Using default and custom sorts
 Ranking data to see top or bottom values
 Using alerter to highlight information
 Organizing a report into sections
 Copying data to other applications
 Preparing document for PDF and print
 Document formatting
 Exporting documents from the Rich Client
 Accessing Info View
5.Dashboard
 Introducing Crystal Xcelcius with SAP implementation options.
 Create a Crystal Xcelsius Dashboard from SAP data stored in a Microsoft Excel spreadsheet
 sourced through Crystal Reports or Web Intelligence
 Create a Crystal Xcelsius Dashboard from SAP data stored in a Microsoft Excel spreadsheet
 Create an Analytic Dashboard from SAP data through a Universe
 Create an Analytic Dashboard from SAP data through Information Design Tool.

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LCC Infotech SAP BI & BO Course

  • 1. LCC InfotechAn ISO 9001:2008 Certified Company Corp. Off : Himayath Nagar 401, 4th Floor, Victory vision, Beside KFC, Ph: 66660770 / 66770770. Branch Off : Secunderabad 503, 5th Floor, Navketan Complex, Opp. Clock Tower. Ph: 66312004 / 66489737. Email: hr@lccinfotech.org Website: www.lccinfotech.org SAP BI & BO Contents SAP BI Contents Intro to Data warehousing  Introduction to Data warehousing  Father of Data warehouse  Definition of Data Warehousing  Key functions of Data Warehousing  Applications & Types of SAP  Over view of SAP R/3 Types of Applications  OLTP  OLAP  R/3 Architectures  Landscape of SAP  Transportation  Package  Request no  Return codes  Types of Data  Master data  Transaction data  Master Data  Attribute data  Text data  Hierarchy data  Transaction data  Header data
  • 2.  Item data  Scheduling data  Star Scheme Concepts  Classical star schema.(DW)  Extended star schema.(BW) SAP BW/BI Introduction  Introduction to SAP BW/BI  History of SAP BW/BI  Necessity of SAP BW/BI SAP BW/BI Architecture a) Source System & Target System b) Source system connections c) Data Modeling, Loading and Extraction d) Data Reporting SAP BW DATA Modeling  Info area  Info objects Catalog  Info objects  Info source  Direct update  Flexible update  Data source  Source system  Application component  Transfer rules  Transfer structure  Communication structure  Info providers  Data targets  Info cubes  Standard Info Cube  Real-Time Info Cube  ODS  DSO  Standard DSO  DSO for Direct Update  Write-optimize DSO  Update rules  Transformations  DTP – Data Transfer Process
  • 3.  Standard DTP  Error DTP  RDA DTP  Direct DTP  Info package  Extract structure  PSA  Standard PSA  Error Stack PSA  Data Acquisition  Standard  Real Time SAP BW DATA Loading & Scheduling Data loading using flat files  Attribute data  Text data  Hierarchy data  Transaction data  BW Architecture  PSA Maintenance  Scheduling the data  Data packet by data packet  Complete data scheduling  Scheduling in background  PSA Processing types  Terminating errors while loading the data  Increasing the data packet size  Scheduling the data in background  Monitoring the data loading  Debugging the Data while loading DATA STORE OBJECT  New data table  Active data table  Change log type DATA STORE OBJECT SETTING  Automatic  Manual  Details
  • 4.  DSO – Info Cube  Info Cube - Info Cube  DSO–DSO  Multi providers  Info set  INFOCUBE.  Partitioning  Line items dimensions  Performance issues  Roll up  Aggregate  Collapse  Deletion of data from data Targets  Complete deletion of data  Deleting data by request id  Selective deletions New Enhancements of SAP BW 7.3  Loading Hierarchies using BI7.0 Datasource  Generic delta functionalities for Non -SAP datasources to extract data from Non -SAP source systems  Semantic Partitioning  New monitors in BW Administration cockpit  Generic delta functionalities for further types of Data Sources  Open Hub Service  Transformation  Hybrid Infoprovider  Transformation Enhancements  DTP Enhancements  Multiprovider as a source  Process Chain Enhancements  Data Flow Wizard and Data Flow Copy tool  Data Flow Migration Tool  Enhancements to RDA  Info package Enhancements. SAP BW DATA Extraction  Application Specific Extractors( BW Content Extractors & Customer Generated Extractors)  Cross Application Specific Extractors ( Generic Extractors)  Flat files  LOS  LIS  Generic Extraction  Master data
  • 5.  Transaction data  DB connect  Business content extraction  Generic delta  BW Data Source Enhancement  Error handling SAP BW DATA Transportation.  System Landscape  Transportation Landscape  Overview of Transports  Objects Collection in Transports  Sequence of Transports Migration  Transports Collection & Setting  Transport Issues  Assigning object to the requests  SAP BW Integration  SAP BW/BI – BO Integration.  SAP BW/BI With HANA.  SAP BW/BI Batch Job Monitoring Tools.  Importance of SAP ABAP/4 & Basis in BW/BI. SAP BW Performance Tuning Techniques  Partitioning  Compressions  PSA Table Deletions  BI Accelerator
  • 6. SAP BO Course Contents Introduction to SAP BO Introduction : Integration with SAP BI – BO Topics Covered : 1. Universe Designer. 2. Information Design Tool. 3. Crystal Reports. 4. Web Rich Client ( Web Intelligence). 5. DashBoards. 1. Universe Designer  Understanding how universes allow users to query databases using their everyday business terms  Creating an ODBC connection to the course database  Creating a universe  Populating the universe structure  Defining joins in a universe  Solving Loop Issues .  Aliases .  Contexts .  Creating a Context .  Chasm Traps  Fan Traps  List of Values and Cascading Prompts  Customized LOV  Customizing an LOV from a File  Cascading Prompts 2.Information Design Tool. Getting Started with IDT  Starting IDT  Creating a Project  Defining a Database Connection  Creating a New ConnectionOpening an Existing Universe Creating a Data Foundation
  • 7.  Create a Data Foundation  Selecting Tables  Creating Joins  Editing Joins  Cardinality  Test Integrity  Self Joins  Shortcut Joins  Derived Tables Resolving Join Issues 1. Resolving Join Problems 2. Solving Loop Issues 3. Aliases 4. Contexts 5. Creating a Context 6. Chasm Traps 7. Fan Traps Creating a Business Layer  Creating and Editing Objects  Hiding Objects  Object Properties  Creating and Editing Measures  Formatting Objects  Creating Custom Objects  Creating Detail Objects  Prompt Objects  Creating Time Objects  Creating Condition Objects  Creating Objects from Database Functions  List of Values and Cascading Prompts  Customized LOV  Customizing an LOV from a File  Cascading Prompts 3.Crystal Reports  Formatting and summarizing data  Filtering, sorting and grouping data  Customizing reports with business logic  Connecting to SQL Server, Oracle and Access databases
  • 8. The Crystal Report Writer Writing a basic report  Selecting a format  Adding text and fields  Connecting to remote data sources Formatting and styling  Tailoring sections within a report  Designing fields for quality presentations  Highlighting data with Highlight Expert Establishing data connections  Creating a connectivity checklist  Configuring ODBC and OLE DB  Integrating SQL commands in a report Interpreting Structures and Retrieving Data Navigating complex data  Deciphering data structures  Identifying data relationships Gathering the right data  Merging data from multiple tables  Building business queries Combining Powerful Report Techniques Organizing and summarizing reports  Sorting user sort control and grouping  Summary and Rolling Total fields Building advanced reports  Embedding linked and unlinked subreports into reports  Creating crosstab and drill-down reports Visualizing complex data
  • 9.  Simplifying data with charts and graphs  Organizing fields into sections  Adding, merging, suppressing sections Programming Data Functionality Coding in formula language  Working with variables and operators  Deciphering formula syntax  Adding and modifying formulas  Calling and working with functions  Creating a Report with Running Totals  Formulas and Functions  Using String Functions and Operators  Using Date and Time Functions Parameters, Filters, and Prompt Panels  Examining Standard Parameters  Using Interactive Filters  Using Prompt Panels and Responding to Parameter Writing effective formulas  Building if/then/else statements  Converting and comparing data Exporting reports to PDF, Excel, Word and HTMl 4.Web Rich Client (Web Intelligence)  Introduction to desktop intelligence  Report Creation  Publishing the report  Understanding how universes allow you to query database using everyday business terms  Understanding Web Intelligence core functionalities  Creating a document in the Web Intelligence Rich Client  Viewing a Web Intelligence document in Info View  Building a simple query  Modifying a document query  Working with query properties  Restricting data with query filters  Modifying a query with a predefined query filter  Applying a single-value query filter  Using prompts to restrict data  Using complex filters
  • 10.  Working in the Report Panel  Displaying data in tables and charts  Using breaks and cross tabs  Formatting break, calculations, and report filters  Formatting breaks and cross tabs  Using default and custom sorts  Ranking data to see top or bottom values  Using alerter to highlight information  Organizing a report into sections  Copying data to other applications  Preparing document for PDF and print  Document formatting  Exporting documents from the Rich Client  Accessing Info View 5.Dashboard  Introducing Crystal Xcelcius with SAP implementation options.  Create a Crystal Xcelsius Dashboard from SAP data stored in a Microsoft Excel spreadsheet  sourced through Crystal Reports or Web Intelligence  Create a Crystal Xcelsius Dashboard from SAP data stored in a Microsoft Excel spreadsheet  Create an Analytic Dashboard from SAP data through a Universe  Create an Analytic Dashboard from SAP data through Information Design Tool.