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SAP HANA
Shane Sale
SAP HANA (version 2)
Austin Fraser - Capabilities and Competencies
SAP Business Planning and    SAP NW Process Integrator         SAP HANA Version 2
Consolidation application    (Pi)                                 Edge
(BPC NW 7.0 / 7.5)
SAP Business Hierarchy       SAP NW Master Data                Teradata
Planning (BHP)               Management (MDM)
SAP Strategic Enterprise     SAP BusinessObjects (BO)          Netezza (now IBM)
Management (SEM)

SAP Business Planning and    SAP Business Intelligence (BI)    Greenplum (now EMC2)
Simulation (BPS)
SAP Enterprise Performance   SAP Business Information          XtremeData dbx
Management (EPM)             Warehouse (BW)
Pilot Analytics – SAP        SAP High-Availability Analytics   IBM ex5 Server UDB / PE
Strategy Manager (SSM)       Appliance (HANA)                  IBM Warehouse Manager
SAP Corporate Financial      SAP Sybase DBMS                   Oracle Warehouse Builder
Management (CFM)
SAP Treasury and Risk        Sybase Unwired Platform           Zybert Gridbox
Management (TRM)             (SUP)

April 9, 2013                                                                      Slide 3
SAP HANA Team –
       Austin Frasers’ UK SAP HANA Infrastructure Delivery Division.
•      SAP HANA is an in-memory database appliance that is deployable on-premise or in the
       cloud. It is a revolutionary platform that’s best suited for performing real-time
       analytics - and for developing and deploying multiple powerful applications in real-
       time. At the core of this real-time data platform is the SAP HANA database which is
       fundamentally different to other database engines in the market today

•      Whenever companies need to dive deep and wide into their data sets to answer
       complex, fundamental and interactive questions - which means working in real-time
       with enormous data sets that are of different types and from different sources at the
       same time = then SAP HANA is well-suited to provide the answers. Increasingly there
       is a need for all of this data to be distributed along an extended timeline of past
       (historic), present (real-time) and future (forecast). Add to that the need for high
       speed (very fast response time and true interactivity), and the need to do all this
       without any pre-fabrication (no data preparation, no pre-aggregates, no-tuning) and
       you have a unique combination of requirements that only SAP HANA can address
       effectively. When this set of needs or any subset thereof have to be addressed (in any
       combination), SAP HANA is in its elements.




    April 9, 2013                             Slide 4
SAP HANA Team –
       Austin Frasers’ UK SAP HANA Infrastructure Delivery Division.
•      Emerging Technologies - in-memory Data Warehouse Appliances with Real-
       time and Predictive Analytics Engines can now achieve so much more than
       ever before.....
      MODELLING                         RANGE                           DATA
       HORIZON         RESULTS          (years)      TIMELINE           TYPE          FISCAL PERIOD        AGGREGATION
    Financial       Previous,             5-7      Past, Present,     Actual /      Day, Week, Month,
    Management      Current, Planned               Future             Forecast      Quarter, Annual      Atomic and Cumulative
    Strategic       Previous,            5-10      Past, Present,     Actual /      Day, Week, Month,
    Management      Current, Planned               Future             Forecast      Quarter, Annual      Atomic and Cumulative
    Future          Previous,                      Past, Present,     Actual /      Day, Week, Month,
    Management      Current, Planned   50-100      Future             Forecast      Quarter, Annual      Atomic and Cumulative




•     Real-time and Predictive Businesses are transforming the way that they
      think, plan and operate. Based firmly on a foundation of In-Memory
      Computing technology, and an extended Time dimension from Past (Historic)
      through Present (Real-time) into Future (Predictive) Data - there is now a
      very new paradigm for enterprise information management, which supports
      DEVICE                    INFORMATION        TIMELINE    PURPOSE
      the three key business reporting requirements: -         Historic Reporting
      Data Warehouse Appliances                 Historic Data                    Past
                                                                                                  Real-time Analytics
      Real-time Analytics Engines               Current Data                     Present
                                                                                                  Predictive Analytics
      Predictive Analytics Engines              Forecast Data                    Future

    April 9, 2013                                           Slide 6
SAP HANA Team –
       Austin Frasers’ UK SAP HANA Infrastructure Delivery Division.
•      SAP AG currently enjoy 46% of the world market for Enterprise Software by sales
       value - more than its principle rivals, Oracle, Microsoft and IBM combined. For the
       past two years, SAP has been promoting the idea of in-memory data analysis and
       management and has rolled out technology that delivers the SAP In-Memory
       Appliance - originally referred to as the High performance ANalytic Appliance). Now,
       nearly every major Banking and Financial Services organisation in the world uses SAP
       IS/Banking finance compliance solutions somewhere in their Application Landscape
       for Trading and Risk, Funds, Liquidity,, Settlements and Treasury – and Governance,
       Reporting and Controls

•      SAP HANA is now the cornerstone of SAP Enterprise version 6. After trialling SAP
       HANA version 1, SAP Customers are now investing in SAP HANA version 2. At the
       same time, SAP IS/Banking is now the clear leader and Financial Platform of choice for
       meeting the strict UK and EU regulatory requirements as set out in the Financial
       Services Act (2010 and 2011) for Funds, Liquidity and Risk (Capital Adequacy), Event
       Risk (Wild Card / Black Swan Events – Surprises), Market Risk (Market Phenomena)
       Trade Risk (Human Actions) and Fraud Risk (Rogue Trading) – and is being
       implemented by all the leading Banking and Financial Services Companies.....




    April 9, 2013                             Slide 7
SAP HANA Team –
       Austin Frasers’ UK SAP HANA Infrastructure Delivery Division.
•      The idea behind Real-time Analytics is that companies can analyse larger, more
       complex and immediate datasets to inform their decision-making – on a scale that
       previously would have been unimaginable to process. Analysing “Big Data” in Real-
       time would, for example, allow companies to better understand market and customer
       dynamics by using their own transactional data and weblogs and combining this with
       news feeds, social media postings and search engine data to gain much richer and
       more powerful insights into intimate customer behaviours.

•      Real-time and Predictive businesses are transforming the way that they think, plan
       and operate. Based on a foundation of In-Memory Computing technology, and an
       extended Time dimension, there is a new paradigm for enterprise information
       management, which delivers three key business advantages: -
         •   Breakthrough analytics that help End-user customers to analyse massive amounts of process
             execution, customer and market data in real-time.
         •   SAP HANA applications and solutions generate information and insights in such volume and depth
             - delivering previously impossible levels of business value.
         •   Dramatically simplified IT landscapes - reducing redundant technology layers and allowing
             customers to build applications that supports simultaneous operations, planning and analytics
             processing on a single platform in real-time.




    April 9, 2013                                   Slide 8
Key Contacts

Shane Sale
Head of SAP
s.sale@austinfraser.com
+44 (0) 118 9520 157

General Numbers
Office Number +44 (0) 118 959 6689
Fax +44 (0) 118 959 6629

One Forbury Square         Ludwigstrasse 8
Reading                    Munchen
RG1 3BB                    80539

www.austinfraser.com
SAP HANA (version 2)

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Austin fraser sap hana presentation

  • 3. Austin Fraser - Capabilities and Competencies SAP Business Planning and SAP NW Process Integrator SAP HANA Version 2 Consolidation application (Pi) Edge (BPC NW 7.0 / 7.5) SAP Business Hierarchy SAP NW Master Data Teradata Planning (BHP) Management (MDM) SAP Strategic Enterprise SAP BusinessObjects (BO) Netezza (now IBM) Management (SEM) SAP Business Planning and SAP Business Intelligence (BI) Greenplum (now EMC2) Simulation (BPS) SAP Enterprise Performance SAP Business Information XtremeData dbx Management (EPM) Warehouse (BW) Pilot Analytics – SAP SAP High-Availability Analytics IBM ex5 Server UDB / PE Strategy Manager (SSM) Appliance (HANA) IBM Warehouse Manager SAP Corporate Financial SAP Sybase DBMS Oracle Warehouse Builder Management (CFM) SAP Treasury and Risk Sybase Unwired Platform Zybert Gridbox Management (TRM) (SUP) April 9, 2013 Slide 3
  • 4. SAP HANA Team – Austin Frasers’ UK SAP HANA Infrastructure Delivery Division. • SAP HANA is an in-memory database appliance that is deployable on-premise or in the cloud. It is a revolutionary platform that’s best suited for performing real-time analytics - and for developing and deploying multiple powerful applications in real- time. At the core of this real-time data platform is the SAP HANA database which is fundamentally different to other database engines in the market today • Whenever companies need to dive deep and wide into their data sets to answer complex, fundamental and interactive questions - which means working in real-time with enormous data sets that are of different types and from different sources at the same time = then SAP HANA is well-suited to provide the answers. Increasingly there is a need for all of this data to be distributed along an extended timeline of past (historic), present (real-time) and future (forecast). Add to that the need for high speed (very fast response time and true interactivity), and the need to do all this without any pre-fabrication (no data preparation, no pre-aggregates, no-tuning) and you have a unique combination of requirements that only SAP HANA can address effectively. When this set of needs or any subset thereof have to be addressed (in any combination), SAP HANA is in its elements. April 9, 2013 Slide 4
  • 5.
  • 6. SAP HANA Team – Austin Frasers’ UK SAP HANA Infrastructure Delivery Division. • Emerging Technologies - in-memory Data Warehouse Appliances with Real- time and Predictive Analytics Engines can now achieve so much more than ever before..... MODELLING RANGE DATA HORIZON RESULTS (years) TIMELINE TYPE FISCAL PERIOD AGGREGATION Financial Previous, 5-7 Past, Present, Actual / Day, Week, Month, Management Current, Planned Future Forecast Quarter, Annual Atomic and Cumulative Strategic Previous, 5-10 Past, Present, Actual / Day, Week, Month, Management Current, Planned Future Forecast Quarter, Annual Atomic and Cumulative Future Previous, Past, Present, Actual / Day, Week, Month, Management Current, Planned 50-100 Future Forecast Quarter, Annual Atomic and Cumulative • Real-time and Predictive Businesses are transforming the way that they think, plan and operate. Based firmly on a foundation of In-Memory Computing technology, and an extended Time dimension from Past (Historic) through Present (Real-time) into Future (Predictive) Data - there is now a very new paradigm for enterprise information management, which supports DEVICE INFORMATION TIMELINE PURPOSE the three key business reporting requirements: - Historic Reporting Data Warehouse Appliances Historic Data Past Real-time Analytics Real-time Analytics Engines Current Data Present Predictive Analytics Predictive Analytics Engines Forecast Data Future April 9, 2013 Slide 6
  • 7. SAP HANA Team – Austin Frasers’ UK SAP HANA Infrastructure Delivery Division. • SAP AG currently enjoy 46% of the world market for Enterprise Software by sales value - more than its principle rivals, Oracle, Microsoft and IBM combined. For the past two years, SAP has been promoting the idea of in-memory data analysis and management and has rolled out technology that delivers the SAP In-Memory Appliance - originally referred to as the High performance ANalytic Appliance). Now, nearly every major Banking and Financial Services organisation in the world uses SAP IS/Banking finance compliance solutions somewhere in their Application Landscape for Trading and Risk, Funds, Liquidity,, Settlements and Treasury – and Governance, Reporting and Controls • SAP HANA is now the cornerstone of SAP Enterprise version 6. After trialling SAP HANA version 1, SAP Customers are now investing in SAP HANA version 2. At the same time, SAP IS/Banking is now the clear leader and Financial Platform of choice for meeting the strict UK and EU regulatory requirements as set out in the Financial Services Act (2010 and 2011) for Funds, Liquidity and Risk (Capital Adequacy), Event Risk (Wild Card / Black Swan Events – Surprises), Market Risk (Market Phenomena) Trade Risk (Human Actions) and Fraud Risk (Rogue Trading) – and is being implemented by all the leading Banking and Financial Services Companies..... April 9, 2013 Slide 7
  • 8. SAP HANA Team – Austin Frasers’ UK SAP HANA Infrastructure Delivery Division. • The idea behind Real-time Analytics is that companies can analyse larger, more complex and immediate datasets to inform their decision-making – on a scale that previously would have been unimaginable to process. Analysing “Big Data” in Real- time would, for example, allow companies to better understand market and customer dynamics by using their own transactional data and weblogs and combining this with news feeds, social media postings and search engine data to gain much richer and more powerful insights into intimate customer behaviours. • Real-time and Predictive businesses are transforming the way that they think, plan and operate. Based on a foundation of In-Memory Computing technology, and an extended Time dimension, there is a new paradigm for enterprise information management, which delivers three key business advantages: - • Breakthrough analytics that help End-user customers to analyse massive amounts of process execution, customer and market data in real-time. • SAP HANA applications and solutions generate information and insights in such volume and depth - delivering previously impossible levels of business value. • Dramatically simplified IT landscapes - reducing redundant technology layers and allowing customers to build applications that supports simultaneous operations, planning and analytics processing on a single platform in real-time. April 9, 2013 Slide 8
  • 9. Key Contacts Shane Sale Head of SAP s.sale@austinfraser.com +44 (0) 118 9520 157 General Numbers Office Number +44 (0) 118 959 6689 Fax +44 (0) 118 959 6629 One Forbury Square Ludwigstrasse 8 Reading Munchen RG1 3BB 80539 www.austinfraser.com