SAP Business Intelligence


INTRODUCTION

SAP BI/BW is the one SAP Business Intelligence and Business Warehouse domains. In SAP BI you get trained on Modeling and Reporting, extracting data from Business Warehouse and study of BW schema. SAP BI is a tool where data extraction, reporting tool, and aggregation. SAP BI/BW multiple domains like marketing, sales, operation and IT and etc. It consists of different reporting applications that allow to discover data, perform analysis to derive insights and create reports that visualize the insights. The inspiration of SAP BW is it provides enhanced scalability and high performance for faster decision making.

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Syllabus

Our syllabus for SAP Business Intelligence.

  • General Introduction.

  • SAP introduction.

  • Data warehousing/ BW/ BI Introduction.

  • Master data; Attributes, Texts, and Hierarchies.

  • Standard Naming conventions in SAP and BI.

  • InfoObjects: Definitions.

  • o Types: Characteristics, Key Figures, Time, and Unit.

  • InfoCubes: Definitions.

  • o Types: Standards, real time,remote.

  • o Design of Infocube: Star Schema concepts, Precautions.

  • DataStore objects (DSO):o Types: Standards, Real time.InfoSets.

  • MultiProviders: Scenarios to create Multiproviders.

  • Infocube VS DSO.

  • BI Content: Definitions, How to install BI contents.

  • For SAP source systems: Creating Generic dataSource and maintaining SAP delivered dataSource.

  • Or for files: Creating DataSources for File Source Systems.

  • Transformations and different scenarios.

  • Creating data transfer processesCreating process chains.
  • Checking process chain runs.

  • Monitor for extraction processes and data transfer processes.

  • Creating the first aggregate for an InfoCube.

  • Using the BIA index maintenance wizard.

  • Setting up standard authorizations.

  • Defining analysis authorizations.

  • Real business scenarios on differentsystem environments, Moving objects from one system to another.

  • Queries: New queries, Restricting Characteristics, Formulas and Exception Cells.

  • Query Design: Defining Exceptions, Conditions, Restricted and Calculated KeyFigures.

  • Variables: The Variable Wizard, Variable Types and Processing Types,query Properties.

  • Component Properties: Properties of Characteristics, Attributes, Structure, Formula, KeyFigures.

  • Structures: Creating Re-usable structures.

  • Functions on BW Server: Copying queries between Cubes, Deleting Query Elements.

  • WAD: Functions of WAD, Web Items Window, Template Window, Properties Window.

  • Web Applications: Creating Web Applications, Settings, Stylesheets, Symbols and Properties.

  • Design: Designing the Layout of Web Templates, working with Library for Web Items.

  • Web Items: Tables, Filters, Checkboxes, Dropdown Box and other web items and their attributes.

  • BEx Analyzer.

  • BEx Web Application Designer.

  • BEx Report Designer.

  • Information Broadcasting.

  • Functions of the Broadcaster: Precalculating and Exporting into Enterprise Portal.

  • User Guide: Distributing Queries and Web Templates, Scheduling Broadcasting Settings.

  • Example Scenarios: Monthly Sales Reports, Ad-hoc Distribution Options.

  • OLAP v OLTP: The OLAP Concept and differences between OLAP and OLTP.

  • OLAP Functions: Aggregation, Currency Translation, Report-toReport Interface.

  • User Guide: Distributing Queries and Web Templates, Scheduling Broadcasting Settings.

  • MetaData Repository: Searching for MetaData.

  • Overview of Planning with SEM-BPS.

  • Architecture of BPS components.

  • Planning Models (Planning Area, Planning Level, Planning Functions, Planning Layouts, Packages).

  • Characteristic relationships, Variables.

  • Data Slice.

  • Web Interface and Planning Folders.

  • Data Model for Performance: Line Item Dimensions, Navigational attributes, Time-Dependent.

  • BW Statistics: Query Analysis Tools, Performance Tables.

  • Reporting Performance: Effective query design, Line-Item, Compression, Partitioning.

  • Aggregates: Creating Aggregates, Finding effective aggregates.

  • Data Load Performance: Parallelism, Impact of Aggregates.

  • Partitioning: Logical Partitioning, Table Partitioning.


  • Experts Panel

    Learn with the experts in the field.

    Faculty, SAP-BI/BW
    Experience: 5 Year(s).

    Soumya

    Our SAP-BI/BW Trainer Is A Certified Trainer And Has Experience Of 5+ Years In An MNC. She Worked On Variety Of Projects In Company. She Has Been Working With Aspire To Make Our Students An Expert in SAP-BI/BW.

    Faculty, SAP-BI/BW
    Experience: 5 Year(s).

    Aditya

    Aditya Is Working As SAP BI Consultant In An MNC Since Last 5 Years. In His Career, He Worked On Lots Of Projects And Have A Great Set Of Skills. He Is An SAP-BI/BW Certified. Student Trained By Him Already Got Placed In An MNC.

    Faculty, SAP-BI/BW
    Experience: 4 Year(s).

    Pallavi

    Pallavi Is Working As SAP BI/BW Consultant In An MNC Since Last 4 Years. In Her Career, She Worked On Lots Of Projects And Have A Great Set Of Skills. She Is An SAP-BI/BW Certified Trainer. Student Trained By Him Already Got Placed In An MNC.


    Student Reviews

    See what student says about this course.



    Akshay Lokhande.

    I Did SAP-BI Course From Aspire. It Was A Good Learning Experience And Yes It Is The Best Institute.

    Sanjivini Ghule

    You Wont Regreate Choosing Aspire, Atleast For Any SAP Course, Experienced Faculty , Well Teaching.

    Shubham Dhole

    It was a very great experience with the staff they really do what they state. Trainers are experienced and know how to make trainee understand.


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