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Achieve Remarkable Results
SAP NetWeaver BW Powered
by SAP HANA
March, 2012
AGENDA


 Introduction into SAP NetWeaver BW Powered by SAP HANA
 Business Benefits
 IT Benefits
 Summary




© 2012 SAP AG. All rights reserved.                        2
AGENDA


 Introduction into SAP NetWeaver BW Powered by SAP HANA
 Business Benefits
 IT Benefits
 Summary




© 2012 SAP AG. All rights reserved.                        3
SAP NetWeaver Business Warehouse
Enterprise Data Warehouse Application

Integrated, scalable Enterprise Data Warehouse (EDW) platform
             EDW = Database + X

                                      Fast, sustainable implementation:
      Business
                                       Modeling patterns
      Content
                                       Business content


                                      Load any data with trust and quality:
    Reliable                           Out-of-the box integration for data originating in SAP systems
 Data Acquisition                      Integrated with SAP BusinessObjects Data Services (Data Integrator and Data Quality Management)


                                      Efficient, streamlined data management:
    Streamlined                        Management of data consistency
    Operations                         Sophisticated security, authorization and identity handling
                                       High availability

                                      Sophisticated life cycle management at different levels:
    Life Cycle                         System
   Management                          Metadata
                                       Data (nearline storage, archiving)




© 2012 SAP AG. All rights reserved.                                                                                                4
SAP NetWeaver BW
Stable Product, Large Installed Base, Constant Growth

      Productive SAP NetWeaver BW systems – constant growth

                                      16,000
    Adoption of SAP NetWeaver
     BW constantly growing at 200+    15,500
     new installations each month
                                      15,000

    13,000+ customers referring to   14,500
     more than 16,000+ productive




                                                                                                                               16, 054
                                                                                                                     15, 883
                                                                                                           15, 685
     systems                          14,000




                                                                                                 15, 533
                                                                                       15, 243
                                                                             14, 952
                                                                   14, 693
                                      13,500
    More than 1000 customers




                                                         14, 450
                                               14, 217
     already moved to BW 7.3          13,000

                                      12,500

                                      12,000
                                               Q4 09



                                                         Q1 10



                                                                   Q2 10



                                                                             Q3 10



                                                                                       Q4 10



                                                                                                 Q1 11



                                                                                                           Q2 11



                                                                                                                     Q3 11



                                                                                                                               Q4 11
© 2012 SAP AG. All rights reserved.                                                                                                      5
SAP NetWeaver BW Running on Classical DB
Typical Challenges


                                                            Classical DB Approach


  Reporting Performance                   Query performance not optimal to meet needs of business users


   Real-Time Data Access                      Traditional latency issues with getting timely information


                                      Planning speed slow due to bottleneck of reading & writing data to/from a
   Planning Performance                                         classical database

                                        Challenging loading windows; loading and consolidation of data not
    Loading Performance                                             optimal


             Performance               Requires management of database like indexes, aggregates and DBA
             Optimization                         operations as well as management of BWA


                                      High IT workloads, restricted self-service capabilities, complex modeling;
           IT Involvement                                    IT becomes the bottleneck


© 2012 SAP AG. All rights reserved.                                                                                6
Evolution of SAP NetWeaver BW

                                                                                                       BW 7.3x, SP5
                                                                       BW 7.3/BWA 7.2
                                                                                                    BW running on HANA
                                                                   Major step on                    as the underlying In-
                                          BW 7.0 EhP1 (7.01)        Enterprise Data                  Memory DB Platform
      BW 7.0/BWA 7.0                                                Warehousing scalability
                                                                                                    In-Memory for
                                         Go-to release             and flexibility
                                                                                                     Enterprise Data
                                          for integration          BW Accelerator:                  Warehousing
   Major release                         with SAP                  Additional performance
   BW Accelerator                        BusinessObjects BI                                        Integrated Planning
                                                                   Integration                      In-Memory enabled
   New features and                                                improvements with
    improvements across                                             SBO Data Services
    all components




                                                         2010             2011                2012
         2006                         2009



© 2012 SAP AG. All rights reserved.                                                                                        7
SAP HANA Introduction

SAP HANA is:                                            SAP BusinessObjects    Other Reporting Tools

• A flexible, data source agnostic in-memory analytic
   appliance to quickly process and analyze large
   volumes of non-aggregated transactional data in      SAP HANA

   real-time                                                         SAP HANA Studio


                                                                    SAP HANA Database
• A modern platform that serves as the foundation to
                                                            Calculation and    Row & Column
   develop a new class of real-time applications            Planning Engine      Storage


• In-memory database that runs under SAP and non-           Real-Time Data
                                                                               SAP Business
                                                                                Objects Data
                                                           Replication (SLT)
   SAP Applications as a high-performance data                                   Services

   foundation


                                                                                       Non SAP Data
                                                        SAP Applications
                                                                                         Sources



© 2012 SAP AG. All rights reserved.                                                                    8
SAP HANA Today
Analytic Appliance and Platform For New Applications

                                                      TODAY
                                                   SAP HANA 1.0

                                      ETL
               SAP ERP
                                            SAP NetWeaver
                                                            BWA
                                                                              High-Performance Analytics
                                                 BW
                                                                               SAP Operational data in traditional
                                                                                database is replicated into memory for
                                                                                operational analytics
                                                                               Bring in non-SAP data for high
                                               RDBMS             SAP            performance analytics across the
                                                            BusinessObjects     enterprise
                                                                  BI           Combine SAP and non-SAP data (OS,
                 RDBMS
                                                                                CDR etc) for agile modeling and reporting
                                              SAP HANA
                                                                 SAP
                                                              Applications


               Non SAP
             Data sources




© 2012 SAP AG. All rights reserved.                                                                                      9
SAP NetWeaver BW Powered by SAP HANA
Supercharged BW Applications

                                                      Q2 2012
                                                 SAP HANA 1.0 SPS3

                                                                               SAP HANA - Primary Database
                                      ETL
               SAP ERP
                                            SAP NetWeaver                         for SAP NetWeaver BW
                                                 BW
                                                                               In-Memory database used as primary
                                                                 SAP            persistence data layer for BW
                                                            BusinessObjects
                                                                  BI
                                                                               BW manages the analytic metadata and the
                                                                                EDW data provisioning processes
                                                                               Detailed transactional data replicated from
                                                                                applications is the basis for all processes
                 RDBMS                       SAP HANA                          SAP HANA provides the functionality of SAP
                                                                                BWA
                                                                 SAP
                                                              Applications



               Non SAP
             Data sources                                          Currently in
                                                                 Ramp-up since
                                                                November 7th 2011
© 2012 SAP AG. All rights reserved.                                                                                       10
SAP NetWeaver BW powered by HANA



            BWA               SAP NW BW                      SAP NW BW


                                      RDBMS   DB Migration     HANA      SAPSAP
                                                                            Applications
                                                                          Applications




       HANA as the Primary Database for BW and Foundation for new Applications
        In-Memory database used as primary persistence for BW
        BW is becoming a HANA optimized EDW
        BW continues to manage the analytic metadata and the data provisioning processes
        HANA provides all the functionality of BWA and more
        High-performance foundation for new SAP applications


           Migration without reimplementation - no disruption of existing scenarios

© 2012 SAP AG. All rights reserved.                                                         11
Customer Value of BW Powered by SAP HANA


1.     Supercharged BW with Dramatically Improved Performance
              Business: Improved decision making, faster reporting and the most up to date information
              IT: Faster data loading and decreased data latency



2.     Simplified Administration and Streamlined Landscape
              Business: Reporting requests executed faster and minimal IT involvement
              IT: Reduced administration and lower TCO



3.     Unlock The Power of Your Data Across The Enterprise
              Business: Self service access to all information at the most granular level
              IT: Simplified IT workload with easy access to operational data marts



4.     Preserve Your BW Investment without Disruption
              Business: Minimal training impact to business users and administrators
              IT: Migration without disruption of your BW application




© 2012 SAP AG. All rights reserved.                                                                       12
AGENDA


 Introduction into SAP NetWeaver BW Powered by SAP HANA
 Business Benefits
 IT Benefits
 Summary




© 2012 SAP AG. All rights reserved.                        13
Supercharged BW with Dramatically Improved Performance
Improved decision making, faster reporting and the most up to date information



 Respond More Quickly
                                                                   Reporting / Analysis
 • Faster queries means faster analysis

 • HANA Optimized InfoCubes and DataStore Objects (DSO)

 • Acceleration via in-memory column storage
                                                                         BEx Query


 Real-Time Insight As Business Happens                                 Data Modeling

 • Real-time access to HANA Analytic Views and Calculation Views       SAP BW
 • Faster data loading means information loaded more frequently
    enabling near real-time reporting
                                                                       DSO Activation


 Faster Planning                                                        In-Memory
                                                                         Planning
 • HANA enabled planning for shorter planning cycles

 • Planning logic pushed down to SAP HANA                             SAP HANA




© 2012 SAP AG. All rights reserved.                                                       14
Simplified Administration and Streamlined Landscape
Reporting requests executed faster and minimal IT involvement


IT Empowered to Respond More Quickly
•     Changes in business requirements can be handled more efficiently and with quick
      turn around

•     Faster data loads and simplified IT tasks

•     No special efforts required (indexes, statistics, etc…) means faster reporting on
      any data base object



Flexible Data Modeling For Business Relevant Information
• Building and maintaining BW data models is simplified using flattened HANA
    Optimized BW structures

• Faster remodeling of structural changes




© 2012 SAP AG. All rights reserved.                                                       15
Unlock The Power of Your Data Across The Enterprise
Self service access to all information at the most granular level


 Increase Business Insight
• Greater breadth of data, look across all data sources to better
  monitor business conditions

• Greater depth of data, look at the most granular level to   better
  understand details of business

• Combine BW data with non-BW data for a 360 degree view




 Empower Self Service
• Self service BI interface means reduced reliance on IT

• Business friendly data modeling by using BW Workspaces and
  Information Composer

• Extend the reach with analysis on any mobile device




© 2012 SAP AG. All rights reserved.                                    16
Preserve Your BW Investment without Disruption
Minimal training impact to business users and administrators


 End Users Do Not Need Retraining
• Same SAP BW application process - just faster queries, updates and reporting!

• Expert users do not need to get retrained

• No disruption to current use of SAP BusinessObjects BI or other frontend tools


System Operation Stays as it is
• No need to change familiar business processes inside SAP BW

• Process chains do not need to get remodeled


 Security Remains Intact
• Supports BW Analysis Authorization Concept

• Integrated with NetWeaver Identity Management




© 2012 SAP AG. All rights reserved.                                                17
AGENDA


 Introduction into SAP NetWeaver BW Powered by SAP HANA
 Business Benefits
 IT Benefits
 Summary




© 2012 SAP AG. All rights reserved.                        18
Supercharged BW with Dramatically Improved Performance
Faster data loading and decreased data latency


HANA Optimized Infocubes
                                                                      MD                 MD
• Simplified structures for optimizing data loads into InfoCubes                                                             MD                 MD
                                                                                D                         E
                                                                                                      F
• Creation of DIM IDs no longer required                                                                      Conversion                        F
                                                                                              Facts                                   Facts
• InfoCube load time reduced significantly
                                                                                D

                                                                      MD                 MD                                 MD                  MD


HANA Optimized DSOs
•    Delta calculation completely integrated in HANA
•    No round trips to application server needed                           User interface                            User interface
                                                                           Layer                                     Layer
•    HANA optimized data structures for faster access                                         Presentation                            Presentation

                                                                           SAP NW BW                                 SAP NW BW
•    Speeds up data staging of DSOs by factor 7-10
                                                                           Application        DSO Objects            Application      DSO Objects
                                                                           Layer                                     Layer

HANA Optimized Planning Functions                                          SAP NW BW
                                                                                               Activation
                                                                                                                     SAP NW BW

•    Performance boost for planning capabilities like: Aggregation,
                                                                           Database                                  Database          Activation
                                                                           Layer                                     Layer
    Disaggregation, Conversions, Revaluation, Copy, Delete,                                      Data
                                                                                                                      SAP
                                                                                                                                         Data
                                                                            xDB
    Set value, Repost, FOX and for plan/actual analysis                                                               HANA




© 2012 SAP AG. All rights reserved.                                                                                                                  19
Simplified Administration and Streamlined Landscape
Reduced administration and lower TCO


Reduction in Layers
• Compression due to columnar technology and elimination of
   redundant data shrinks database size dramatically

• Reorganize BW layer with reduced complexity and redundant data
   persistence in different aggregation level

• Database and SAP BWA merging into one instance for lower TCO
   and reduced admin tasks



Simplified Infrastructure & Reduced IT Activities
• Eliminate the need for indexes and aggregates

• Simplified administration via one set of admin tools

• One single platform for all types of analytics and data marts




© 2012 SAP AG. All rights reserved.                                20
Unlock The Power of Your Data Across The Enterprise
Simplified IT workload with easy access to operational data marts


Simplified Access to All Data
                                                                          Reporting & Analytic Tools
• Transparent use of operational data from SAP HANA

• Run HANA operational data mart and BW on same HANA
                                                                 SAP BW
   landscape
                                                                          Query                  Query
• Data integration between SAP BW and non-BW data can be
   achieved in a simple and efficient manner
                                                                     CompositeProvider


BW Data Model Changes Made Easy                                                                 Transient
                                                                   InfoCube                   InfoProvider
• Changes in business requirements can be met quickly without
   significant remodeling and reloading data

• Additional modeling flexibility by combining ad-hoc SAP HANA
                                                                   BW Schema                  Non-BW data
   data with consolidated data in BW

• Add and remove dimensions to InfoCubes without remodeling


                                                                                                   SAP HANA




© 2012 SAP AG. All rights reserved.                                                                           21
Preserve Your BW Investment without Disruption
Migration without disruption of your BW application

Migration without Re-Implementation
•     Database migration only – No need to re-implement your SAP BW system
•     All existing BW queries, reports, transformation logic and data models continue to work as before
•     No reload of data required or additional remodeling
•     No loss of existing BW functionality (queries, reports, security, administration etc.)
•     Migration of HANA Optimized InfoProviders via mass conversion




                            BWA       SAP NW BW                               SAP NW BW


                                        RDBMS               DB Migration           HANA




© 2012 SAP AG. All rights reserved.                                                                       22
AGENDA


 Introduction into SAP NetWeaver BW Powered by SAP HANA
 Business Benefits
 IT Benefits
 Summary




© 2012 SAP AG. All rights reserved.                        23
Feedback from Early Customers




                          10x Faster Data                                100x Faster
                             Loading                                      Reporting



                                      20% Reduction in Admin &
                                          Maintenance FTE
                                        Estimated by customer. Customer plans on re-deploying FTEs to BI projects




© 2012 SAP AG. All rights reserved.                                                                                 24
SAP NetWeaver BW Powered by SAP HANA


         Business Benefits            IT Benefits




© 2012 SAP AG. All rights reserved.                 25
Thank You!
Appendix
Classical Approach v/s SAP BW on HANA Approach

                                              Classical Approach                          In-Memory Approach
                                          (SAP BW on Oracle Exadata)                       (SAP BW on HANA)
      Reporting                        Requires BWA to deal with performance          Fast Reporting Access on All SAP
     Performance                               acceleration of queries                      BW data without BWA

  Real-Time Data                         Traditional latency issues with getting      Leverage Real-Time Replication to
     Access                                        timely information                    get up to the minute insight
                                         Planning requires reading data from
Simulate More and                                                                     Planning performs calculations in-
                                         Exadata and writing back to Exadata
   Plan Faster!                                                                                   memory!
                                               (calculations in ABAP)
Superior Loading                      Loading and consolidation occurs in ABAP        Loading Performance pushed into
  Performance                           (Exadata only used for read and write)                 HANA natively!
                                         Requires DB management of Exadata
      Simplified                      (indexes, statistics, DBA operations) as well     No indexes, statistics, or DBA
     Maintenance                          as management of BWA to get good                 maintenance required!
                                                       performance
        Modeling                      Cannot add/remove dimensions without re-        Flexibly remodel cubes quickly and
        Flexibility                    modeling toolkit (very costly operation)           reduce materialized layers!


© 2012 SAP AG. All rights reserved.                                                                                        28
Plus NW 7.3 Has Additional Enhancements
New features of BW 7.3 (Without HANA)

1. Semantic Partitioning increases scalability, flexibility, reduces development &
   maintenance overhead
2. Graphical Data Flow Modeling simplifies BW modeling to a large extent
3. Automated Tools to reduce development efforts
4. Numerous optimizations to Data Store Objects to support database partitioning by time
   characteristics, activation by single look ups etc.
5. Accelerated data loads for Master data by using mass lookup instead of single look up
6. Tight integration with Sybase IQ as a Near-line storage including process delegation
7. Real-time data access at runtime using Hybrid Provider
8. End-to-End Data lineage & impact analysis using Metadata Management & Information
   Steward
9. Optimizations to Integrated planning to reduce TCO associated with BW based
   planning applications



© 2012 SAP AG. All rights reserved.                                                        29
Benefits of SAP NetWeaver BW on SAP HANA
above and beyond SAP NetWeaver BW Accelerator

                                                                      BWA          BW on HANA


                                                                  Only subset of   On All of BW
                                 Superior Reporting Performance     BW data            Data
  Business
  Benefits                       Real-Time Data Access

                                 Simulate More and Plan Faster!


                                 Superior Loading Performance


  IT Benefits                                                     No Aggregates
                                 Simplified Maintenance           where BWA is
                                                                      used


                                 Modeling Flexibility


© 2012 SAP AG. All rights reserved.                                                               30

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SAP NetWeaver BW Powered by SAP HANA

  • 1. Achieve Remarkable Results SAP NetWeaver BW Powered by SAP HANA March, 2012
  • 2. AGENDA  Introduction into SAP NetWeaver BW Powered by SAP HANA  Business Benefits  IT Benefits  Summary © 2012 SAP AG. All rights reserved. 2
  • 3. AGENDA  Introduction into SAP NetWeaver BW Powered by SAP HANA  Business Benefits  IT Benefits  Summary © 2012 SAP AG. All rights reserved. 3
  • 4. SAP NetWeaver Business Warehouse Enterprise Data Warehouse Application Integrated, scalable Enterprise Data Warehouse (EDW) platform EDW = Database + X Fast, sustainable implementation: Business  Modeling patterns Content  Business content Load any data with trust and quality: Reliable  Out-of-the box integration for data originating in SAP systems Data Acquisition  Integrated with SAP BusinessObjects Data Services (Data Integrator and Data Quality Management) Efficient, streamlined data management: Streamlined  Management of data consistency Operations  Sophisticated security, authorization and identity handling  High availability Sophisticated life cycle management at different levels: Life Cycle  System Management  Metadata  Data (nearline storage, archiving) © 2012 SAP AG. All rights reserved. 4
  • 5. SAP NetWeaver BW Stable Product, Large Installed Base, Constant Growth Productive SAP NetWeaver BW systems – constant growth 16,000  Adoption of SAP NetWeaver BW constantly growing at 200+ 15,500 new installations each month 15,000  13,000+ customers referring to 14,500 more than 16,000+ productive 16, 054 15, 883 15, 685 systems 14,000 15, 533 15, 243 14, 952 14, 693 13,500  More than 1000 customers 14, 450 14, 217 already moved to BW 7.3 13,000 12,500 12,000 Q4 09 Q1 10 Q2 10 Q3 10 Q4 10 Q1 11 Q2 11 Q3 11 Q4 11 © 2012 SAP AG. All rights reserved. 5
  • 6. SAP NetWeaver BW Running on Classical DB Typical Challenges Classical DB Approach Reporting Performance Query performance not optimal to meet needs of business users Real-Time Data Access Traditional latency issues with getting timely information Planning speed slow due to bottleneck of reading & writing data to/from a Planning Performance classical database Challenging loading windows; loading and consolidation of data not Loading Performance optimal Performance Requires management of database like indexes, aggregates and DBA Optimization operations as well as management of BWA High IT workloads, restricted self-service capabilities, complex modeling; IT Involvement IT becomes the bottleneck © 2012 SAP AG. All rights reserved. 6
  • 7. Evolution of SAP NetWeaver BW BW 7.3x, SP5 BW 7.3/BWA 7.2  BW running on HANA  Major step on as the underlying In- BW 7.0 EhP1 (7.01) Enterprise Data Memory DB Platform BW 7.0/BWA 7.0 Warehousing scalability  In-Memory for  Go-to release and flexibility Enterprise Data for integration  BW Accelerator: Warehousing  Major release with SAP Additional performance  BW Accelerator BusinessObjects BI  Integrated Planning  Integration In-Memory enabled  New features and improvements with improvements across SBO Data Services all components 2010 2011 2012 2006 2009 © 2012 SAP AG. All rights reserved. 7
  • 8. SAP HANA Introduction SAP HANA is: SAP BusinessObjects Other Reporting Tools • A flexible, data source agnostic in-memory analytic appliance to quickly process and analyze large volumes of non-aggregated transactional data in SAP HANA real-time SAP HANA Studio SAP HANA Database • A modern platform that serves as the foundation to Calculation and Row & Column develop a new class of real-time applications Planning Engine Storage • In-memory database that runs under SAP and non- Real-Time Data SAP Business Objects Data Replication (SLT) SAP Applications as a high-performance data Services foundation Non SAP Data SAP Applications Sources © 2012 SAP AG. All rights reserved. 8
  • 9. SAP HANA Today Analytic Appliance and Platform For New Applications TODAY SAP HANA 1.0 ETL SAP ERP SAP NetWeaver BWA High-Performance Analytics BW  SAP Operational data in traditional database is replicated into memory for operational analytics  Bring in non-SAP data for high RDBMS SAP performance analytics across the BusinessObjects enterprise BI  Combine SAP and non-SAP data (OS, RDBMS CDR etc) for agile modeling and reporting SAP HANA SAP Applications Non SAP Data sources © 2012 SAP AG. All rights reserved. 9
  • 10. SAP NetWeaver BW Powered by SAP HANA Supercharged BW Applications Q2 2012 SAP HANA 1.0 SPS3 SAP HANA - Primary Database ETL SAP ERP SAP NetWeaver for SAP NetWeaver BW BW  In-Memory database used as primary SAP persistence data layer for BW BusinessObjects BI  BW manages the analytic metadata and the EDW data provisioning processes  Detailed transactional data replicated from applications is the basis for all processes RDBMS SAP HANA  SAP HANA provides the functionality of SAP BWA SAP Applications Non SAP Data sources Currently in Ramp-up since November 7th 2011 © 2012 SAP AG. All rights reserved. 10
  • 11. SAP NetWeaver BW powered by HANA BWA SAP NW BW SAP NW BW RDBMS DB Migration HANA SAPSAP Applications Applications HANA as the Primary Database for BW and Foundation for new Applications  In-Memory database used as primary persistence for BW  BW is becoming a HANA optimized EDW  BW continues to manage the analytic metadata and the data provisioning processes  HANA provides all the functionality of BWA and more  High-performance foundation for new SAP applications Migration without reimplementation - no disruption of existing scenarios © 2012 SAP AG. All rights reserved. 11
  • 12. Customer Value of BW Powered by SAP HANA 1. Supercharged BW with Dramatically Improved Performance  Business: Improved decision making, faster reporting and the most up to date information  IT: Faster data loading and decreased data latency 2. Simplified Administration and Streamlined Landscape  Business: Reporting requests executed faster and minimal IT involvement  IT: Reduced administration and lower TCO 3. Unlock The Power of Your Data Across The Enterprise  Business: Self service access to all information at the most granular level  IT: Simplified IT workload with easy access to operational data marts 4. Preserve Your BW Investment without Disruption  Business: Minimal training impact to business users and administrators  IT: Migration without disruption of your BW application © 2012 SAP AG. All rights reserved. 12
  • 13. AGENDA  Introduction into SAP NetWeaver BW Powered by SAP HANA  Business Benefits  IT Benefits  Summary © 2012 SAP AG. All rights reserved. 13
  • 14. Supercharged BW with Dramatically Improved Performance Improved decision making, faster reporting and the most up to date information Respond More Quickly Reporting / Analysis • Faster queries means faster analysis • HANA Optimized InfoCubes and DataStore Objects (DSO) • Acceleration via in-memory column storage BEx Query Real-Time Insight As Business Happens Data Modeling • Real-time access to HANA Analytic Views and Calculation Views SAP BW • Faster data loading means information loaded more frequently enabling near real-time reporting DSO Activation Faster Planning In-Memory Planning • HANA enabled planning for shorter planning cycles • Planning logic pushed down to SAP HANA SAP HANA © 2012 SAP AG. All rights reserved. 14
  • 15. Simplified Administration and Streamlined Landscape Reporting requests executed faster and minimal IT involvement IT Empowered to Respond More Quickly • Changes in business requirements can be handled more efficiently and with quick turn around • Faster data loads and simplified IT tasks • No special efforts required (indexes, statistics, etc…) means faster reporting on any data base object Flexible Data Modeling For Business Relevant Information • Building and maintaining BW data models is simplified using flattened HANA Optimized BW structures • Faster remodeling of structural changes © 2012 SAP AG. All rights reserved. 15
  • 16. Unlock The Power of Your Data Across The Enterprise Self service access to all information at the most granular level Increase Business Insight • Greater breadth of data, look across all data sources to better monitor business conditions • Greater depth of data, look at the most granular level to better understand details of business • Combine BW data with non-BW data for a 360 degree view Empower Self Service • Self service BI interface means reduced reliance on IT • Business friendly data modeling by using BW Workspaces and Information Composer • Extend the reach with analysis on any mobile device © 2012 SAP AG. All rights reserved. 16
  • 17. Preserve Your BW Investment without Disruption Minimal training impact to business users and administrators End Users Do Not Need Retraining • Same SAP BW application process - just faster queries, updates and reporting! • Expert users do not need to get retrained • No disruption to current use of SAP BusinessObjects BI or other frontend tools System Operation Stays as it is • No need to change familiar business processes inside SAP BW • Process chains do not need to get remodeled Security Remains Intact • Supports BW Analysis Authorization Concept • Integrated with NetWeaver Identity Management © 2012 SAP AG. All rights reserved. 17
  • 18. AGENDA  Introduction into SAP NetWeaver BW Powered by SAP HANA  Business Benefits  IT Benefits  Summary © 2012 SAP AG. All rights reserved. 18
  • 19. Supercharged BW with Dramatically Improved Performance Faster data loading and decreased data latency HANA Optimized Infocubes MD MD • Simplified structures for optimizing data loads into InfoCubes MD MD D E F • Creation of DIM IDs no longer required Conversion F Facts Facts • InfoCube load time reduced significantly D MD MD MD MD HANA Optimized DSOs • Delta calculation completely integrated in HANA • No round trips to application server needed User interface User interface Layer Layer • HANA optimized data structures for faster access Presentation Presentation SAP NW BW SAP NW BW • Speeds up data staging of DSOs by factor 7-10 Application DSO Objects Application DSO Objects Layer Layer HANA Optimized Planning Functions SAP NW BW Activation SAP NW BW • Performance boost for planning capabilities like: Aggregation, Database Database Activation Layer Layer Disaggregation, Conversions, Revaluation, Copy, Delete, Data SAP Data xDB Set value, Repost, FOX and for plan/actual analysis HANA © 2012 SAP AG. All rights reserved. 19
  • 20. Simplified Administration and Streamlined Landscape Reduced administration and lower TCO Reduction in Layers • Compression due to columnar technology and elimination of redundant data shrinks database size dramatically • Reorganize BW layer with reduced complexity and redundant data persistence in different aggregation level • Database and SAP BWA merging into one instance for lower TCO and reduced admin tasks Simplified Infrastructure & Reduced IT Activities • Eliminate the need for indexes and aggregates • Simplified administration via one set of admin tools • One single platform for all types of analytics and data marts © 2012 SAP AG. All rights reserved. 20
  • 21. Unlock The Power of Your Data Across The Enterprise Simplified IT workload with easy access to operational data marts Simplified Access to All Data Reporting & Analytic Tools • Transparent use of operational data from SAP HANA • Run HANA operational data mart and BW on same HANA SAP BW landscape Query Query • Data integration between SAP BW and non-BW data can be achieved in a simple and efficient manner CompositeProvider BW Data Model Changes Made Easy Transient InfoCube InfoProvider • Changes in business requirements can be met quickly without significant remodeling and reloading data • Additional modeling flexibility by combining ad-hoc SAP HANA BW Schema Non-BW data data with consolidated data in BW • Add and remove dimensions to InfoCubes without remodeling SAP HANA © 2012 SAP AG. All rights reserved. 21
  • 22. Preserve Your BW Investment without Disruption Migration without disruption of your BW application Migration without Re-Implementation • Database migration only – No need to re-implement your SAP BW system • All existing BW queries, reports, transformation logic and data models continue to work as before • No reload of data required or additional remodeling • No loss of existing BW functionality (queries, reports, security, administration etc.) • Migration of HANA Optimized InfoProviders via mass conversion BWA SAP NW BW SAP NW BW RDBMS DB Migration HANA © 2012 SAP AG. All rights reserved. 22
  • 23. AGENDA  Introduction into SAP NetWeaver BW Powered by SAP HANA  Business Benefits  IT Benefits  Summary © 2012 SAP AG. All rights reserved. 23
  • 24. Feedback from Early Customers 10x Faster Data 100x Faster Loading Reporting 20% Reduction in Admin & Maintenance FTE Estimated by customer. Customer plans on re-deploying FTEs to BI projects © 2012 SAP AG. All rights reserved. 24
  • 25. SAP NetWeaver BW Powered by SAP HANA Business Benefits IT Benefits © 2012 SAP AG. All rights reserved. 25
  • 28. Classical Approach v/s SAP BW on HANA Approach Classical Approach In-Memory Approach (SAP BW on Oracle Exadata) (SAP BW on HANA) Reporting Requires BWA to deal with performance Fast Reporting Access on All SAP Performance acceleration of queries BW data without BWA Real-Time Data Traditional latency issues with getting Leverage Real-Time Replication to Access timely information get up to the minute insight Planning requires reading data from Simulate More and Planning performs calculations in- Exadata and writing back to Exadata Plan Faster! memory! (calculations in ABAP) Superior Loading Loading and consolidation occurs in ABAP Loading Performance pushed into Performance (Exadata only used for read and write) HANA natively! Requires DB management of Exadata Simplified (indexes, statistics, DBA operations) as well No indexes, statistics, or DBA Maintenance as management of BWA to get good maintenance required! performance Modeling Cannot add/remove dimensions without re- Flexibly remodel cubes quickly and Flexibility modeling toolkit (very costly operation) reduce materialized layers! © 2012 SAP AG. All rights reserved. 28
  • 29. Plus NW 7.3 Has Additional Enhancements New features of BW 7.3 (Without HANA) 1. Semantic Partitioning increases scalability, flexibility, reduces development & maintenance overhead 2. Graphical Data Flow Modeling simplifies BW modeling to a large extent 3. Automated Tools to reduce development efforts 4. Numerous optimizations to Data Store Objects to support database partitioning by time characteristics, activation by single look ups etc. 5. Accelerated data loads for Master data by using mass lookup instead of single look up 6. Tight integration with Sybase IQ as a Near-line storage including process delegation 7. Real-time data access at runtime using Hybrid Provider 8. End-to-End Data lineage & impact analysis using Metadata Management & Information Steward 9. Optimizations to Integrated planning to reduce TCO associated with BW based planning applications © 2012 SAP AG. All rights reserved. 29
  • 30. Benefits of SAP NetWeaver BW on SAP HANA above and beyond SAP NetWeaver BW Accelerator BWA BW on HANA Only subset of On All of BW Superior Reporting Performance BW data Data Business Benefits Real-Time Data Access Simulate More and Plan Faster! Superior Loading Performance IT Benefits No Aggregates Simplified Maintenance where BWA is used Modeling Flexibility © 2012 SAP AG. All rights reserved. 30