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BEx Query Designer Unit 1: Introduction to BW Reporting 7/17/2007
Data Warehouse System <ul><li>A data warehouse system serves primarily to stage information from various data sources. </l...
What We Expect from a Data Warehouse <ul><li>The following demands are made on a data warehouse: </li></ul><ul><ul><li>Sta...
SAP Business Information Warehouse <ul><li>SAP BW provides the following: </li></ul><ul><ul><li>Data warehousing system wi...
Terminology and Objects in SAP BW: InfoObject <ul><li>Business analysis-objects (customers,  sales volumes, and so on) are...
Terminology and Objects in SAP BW: InfoCube <ul><li>The central data containers that form  the basis for reports and analy...
Terminology and Objects in SAP BW: InfoProvider <ul><li>InfoProvider  is the super-ordinate term for an object that you ca...
Terminology and Objects in SAP BW: Operational Data Store (ODS) <ul><li>An  ODS  is a data store in which data is stored a...
Terminology and Objects in SAP BW: MultiProviders <ul><li>Multi-Providers  combine data from of  all types of InfoProvider...
Business Information Warehouse Architecture <ul><li>SAP BW enables Online Analytical Processing (OLAP) for staging informa...
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Introduction To SAP Bw Reporting | http://sapdocs.info

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Introduction To SAP Bw Reporting | http://sapdocs.info

  1. 1. BEx Query Designer Unit 1: Introduction to BW Reporting 7/17/2007
  2. 2. Data Warehouse System <ul><li>A data warehouse system serves primarily to stage information from various data sources. </li></ul><ul><li>The information is staged in various forms including personalized reports, freely definable queries, and predefined reports. </li></ul><ul><li>A data warehouse can: </li></ul><ul><ul><li>Pool data from different, mostly heterogeneous sources </li></ul></ul><ul><ul><li>Overcome this heterogeneity on different levels (system, schema, and data) </li></ul></ul><ul><ul><li>Stage data in the form required by the user </li></ul></ul>
  3. 3. What We Expect from a Data Warehouse <ul><li>The following demands are made on a data warehouse: </li></ul><ul><ul><li>Standardized structuring and presentation of all company information </li></ul></ul><ul><ul><li>An easy-to-use, single-point of access to all company information </li></ul></ul><ul><ul><li>Sophisticated business reporting methods for self-service analysis at all levels </li></ul></ul><ul><ul><li>Fast and cost-effective installation </li></ul></ul><ul><ul><li>A high performance environment </li></ul></ul><ul><ul><li>Data staging from heterogeneous environment </li></ul></ul><ul><ul><li>Release of source systems and IT organization </li></ul></ul><ul><ul><li>Data access that is independent of the source system </li></ul></ul><ul><ul><li>Analysis of data over a specific period of time, and the storage of historical information (time-dependent master data) </li></ul></ul>
  4. 4. SAP Business Information Warehouse <ul><li>SAP BW provides the following: </li></ul><ul><ul><li>Data warehousing system with optimized data structures for reporting and analysis </li></ul></ul><ul><ul><li>Separate system </li></ul></ul><ul><ul><li>OLAP engine and tools </li></ul></ul><ul><ul><li>Comprehensive data-warehousing architectural base </li></ul></ul><ul><ul><li>Automated data warehouse management </li></ul></ul><ul><ul><li>Pre-configuration using SAP global business know-how </li></ul></ul>
  5. 5. Terminology and Objects in SAP BW: InfoObject <ul><li>Business analysis-objects (customers, sales volumes, and so on) are called InfoObjects in SAP BW. </li></ul><ul><li>InfoObjects are divided into characteristics and key figures . </li></ul><ul><li>Characteristics can be further divided into units, time characteristics, and technical characteristics. </li></ul><ul><li>Key figures are all data fields that are used to store values or quantities. </li></ul>
  6. 6. Terminology and Objects in SAP BW: InfoCube <ul><li>The central data containers that form the basis for reports and analyses in SAP BW are called InfoCubes . </li></ul><ul><li>They contain key figures (sales volumes, incoming orders, actual costs, and so on) and a link to the characteristics (that is, to the master data of the SAP BW system [cost centers, customers, materials, and so on]). </li></ul><ul><li>Key figures are stored in a single fact table, with the characteristics stored in individual dimension tables. </li></ul>
  7. 7. Terminology and Objects in SAP BW: InfoProvider <ul><li>InfoProvider is the super-ordinate term for an object that you can use to create reports in Business Explorer (BEx). </li></ul><ul><li>InfoProviders deliver data that can be analyzed using a query. </li></ul><ul><li>InfoProviders can deliver data from physical data stores… </li></ul><ul><ul><li>InfoCubes </li></ul></ul><ul><ul><li>ODS Objects </li></ul></ul><ul><ul><li>InfoObjects </li></ul></ul><ul><li>… or logical views of physical data stores… </li></ul><ul><ul><li>InfoSets </li></ul></ul><ul><ul><li>Remote Cubes </li></ul></ul><ul><ul><li>Virtual InfoCubes </li></ul></ul><ul><ul><li>MultiProviders </li></ul></ul>
  8. 8. Terminology and Objects in SAP BW: Operational Data Store (ODS) <ul><li>An ODS is a data store in which data is stored at a basic level (document level). </li></ul><ul><li>This data is often from various data sources and/or source systems. </li></ul><ul><li>ODS objects should be reported very selectively because ODS objects are not built for reporting purposes other than in drill-down paths to retrieve a few detailed records. </li></ul>
  9. 9. Terminology and Objects in SAP BW: MultiProviders <ul><li>Multi-Providers combine data from of all types of InfoProviders (InfoCubes, ODS Objects, InfoObjects and InfoSets). </li></ul><ul><li>Multi-Providers do not store the data, but access the data from the underlying InfoProviders. </li></ul><ul><li>Multi-Providers require additional processing in SAP BW. </li></ul><ul><li>Multi-Providers should be used sparingly – only when you really need to combine data from two different InfoProviders. </li></ul>
  10. 10. Business Information Warehouse Architecture <ul><li>SAP BW enables Online Analytical Processing (OLAP) for staging information from large amounts of operative and historical data. </li></ul><ul><li>OLAP technology permits multi-dimensional analyses according to various business perspectives (slice and dice). </li></ul>

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