Independent process platform

Independent process platform Megatrend in infrastructure software Dr. Wolfram Jost CTO

February 22, 2012 2 Agenda Positioning BPE Strategy Cloud Strategy Data Management Strategy ETS goes Mobile

Each layer is unique in required flexibility and speed February 22, 2012 3 Business Model Processes & Integration Flexibility & Collaboration Layer Applications

Current State of Packaged Apps February 22, 2012 4 Functional and industry specific on-premise apps are built along organizational silos (HR, sales, finance, procurement, ). Due to the hard wired process logic (stuck in cement) and inflexible data models they are extremely difficult to change Configuration is built from technical people for technical people and not for business people (insight out and not outsight in) Customization is based on table and parameter settings and not on business processes These apps have a high time to value and are limiting rapid change and fast innovation

February 22, 2012 5 Enterprise App Functionality often fails to meet Business needs How significant are the following business problems in our existing enterprise app implementations? Not important Slightly/somewhat important Important Very important Don t know Difficult to connect to mobile and cloud solutions Apps form a barrier to innovation Poor support for unstructured content Poor industry-specific funtionality Can t extend processes to external partners Inflexibility limits process change Poor internal/external collaboration tools Lack of visibility into process results Mismatch between apps and business requirements Poor cross-functional processes 14% 36% 26% 17% 8% 8% 24% 34% 31% 4% 11% 29% 35% 24% 3% 11% 29% 30% 27% 3% 7% 34% 30% 25% 4% 3% 14% 35% 44% 4% 3% 29% 41% 24% 4% 3% 9% 40% 45% 4% 3% 8% 24% 61% 4% 1% 10% 26% 59% 4% Diÿcult to upgrade 3% 13% 34% 49% 2% High cost of ownership Source: September 2011 Business Process Online Survey 2% 10% 32% 55% 2% Base: 119 business process professionals (percentages may not total 100 because of rounding)

Each layer is unique in required flexibility and speed February 22, 2012 6 Business Model Processes & Integration Flexibility & Collaboration Layer Applications

Why BPE? (1) February 22, 2012 8 Enterprise Success (Revenue, Profit, Marketshare, ) Making processes more efficient, effective, and innovative Making process execution manageable Making process execution visible, measurable, adjustable and flexible BPE (Methodology/Content/Tools)

February 22, 2012 9 Cloud Real time Collaboration EnterpriseBusiness EnterpriseProcess Business Process Management Mobile Model2 Execute Management Lifecycle Governance Social Ease of use

Components February 22, 2012 10 User User User User User Enterprise Architecture EA Design Process Discovery Process Intelligence Process Benchmarking Process Analytics Process and Composite Applications SOA Governance Registry & Repository EA Analysis Process Design Process Automation Rules Master Data Management Policy Design & Enforcement EA Management B2B Enterprise Service Bus Event Processing Application Integration Mainframe Integration Lifecycle Management Partners Cloud/ (web) Apps Packaged Applications Databases Application Servers Mainframes

Strategy February 22, 2012 11

Business Process February 22, 2012 12 Contract proposal received Function Contract processing Contract data Data Event Application SAP Contract data inserted Check contract Contract data Sales administrator Organizational unit Data logic Integration logic (webmethods ESB) Legacy Contract deficient Correct contract Contract complete Contract complete Business logic Process logic (webmethods BPMS) Approve contract Contract finalized

New Focus: Data Analytics Data Analytics Process Structure February 22, 2012 13 Risk & Compliance Analytics Event Analytics Enterprise Architecture Analytics Location-based Analytics Key Performance Indicators Organizational Analytics

Process Application Architecture February 22, 2012 14 Mobile Web Desktop Cloud Museums & Libraries Process logic Insurance Bank... Business logic ARIS Customer specific content BPMS Integration SOA Analytics In-Memory data store Application server Generic platform Cloud enabled technology base

February 22, 2012 15 Complete model- and business-driven application development Business analyst ARIS Business Modeling Process Intelligence Process owner Process expert Processes Services Process worker Process worker Events Data Management webmethods BPMS webmethods ESB Application developer New services (Business logic) SAP (Business logic) Legacy (Business logic) Application Platform

February 22, 2012 16 Agility Layer New services (Business logic) Application Platform

Cloud Strategy February 22, 2012 18 Cloud enabled Technology Base

February 22, 2012 19 Order-to-cash Process logic (BPM) Inquiry processing Offer processing Order processing Shippment processing Billing processing Integration logic On Premise ESB ipaas SaaS SaaS On premise SaaS new business logic Business logic

Modeling & Dashboarding as a Service (public cloud) February 22, 2012 20 Design Publish Dashboards Easy entry point to the full BPE portfolio Extreme Collaboration Platform (ECP)

Cloud Stream February 22, 2012 21 SaaS SaaS ipaas SaaS

Data Explosion Compounds Challenges March 2, 2012 23 VARIETY Sensors Mobile Social Media Video Telemetry Kiosks Email Web Files 10111001001 1010110010000101001 1010110010001110101001 1010110010000111101010011

Data Management March 2, 2012 24 TRANSACTIONS Applications 010010100011100011010 111010010100011101110 010000101010001111010 110010100011100011010 011010010100011101110 110000101010001111010 How can application be smarter? INTELLIGENCE Analytics 010010100011100011010 111010010100011101110 010000101010001111010 110010100011100011010 011010010100011101110 110000101010001111010 Transactional Data ETL Analytical Data

Data Management Challenges March 2, 2012 25 Applications Analytics 110010100011100011010 Database bottlenecks 110000101010001111010 Costly to scale 110010100011100011010 Restricted data models 111010010100011101110 110000101010001111010 SPEED SCALE FLEXIBILITY 110010100011100011010 Batch processing delays 111010010100011101110 Capacity constrained 110010100011100011010 New data 111010010100011101110 110000101010001111010 Transactional Data Analytical Data

The Way Forward March 2, 2012 26 Applications Analytics Real-time access and analytics to terabytes of in-memory data NEXT-GENERATION DATA MANAGEMENT Low latency integration for existing and new data Transactional Data Analytical Data

Software AG Next Generation Data Management March 2, 2012 27 NEXT-GENERATION DATA MANAGEMENT Integrated, transformative platform for data-intensive applications and analytics IN-MEMORY COMPUTING Big Data NEXT GENERATION ANALYTICS Scalable Infrastructure: e.g. Cloud, Cluster, Grid

Next Generation Data Management (NGDM) March 2, 2012 28 Developers New Applications, Mobile Business Users Dashboards, Data Analytics NEXT-GENERATION DATA MANAGEMENT In-Memory Data Management Data Access In-Memory Data Store Event Processing Data Services Management Environment Low-Latency Data Bridge Oracle, Adabas Mainframe Transactional Data Data Warehouse nosql Hadoop Analytical and Big Data Social Computing Internet of Things

Main Drivers February 22, 2012 29

February 22, 2012 30 Leading Technology from Software AG Gartner Magic Quadrant for SOA Governance Technologies (2011) Magic Quadrant for Business Process Analysis Tools (2011) Forrester The Forrester Wave : Enterprise Service Bus (2011) Business Process Management Suites Wave (2010) The Magic Quadrant is copyrighted by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner s analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the Leaders quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The Magic Quadrant graphic was published by Gartner, Inc., as part of a larger research note and should be evaluated in the context of the entire report. The Gartner report is available upon request from Software AG. The Forrester Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change.

Natural and Adabas Application meets Mobile February 22, 2012 32 Enterprise Mobile Apps & Mobile Workers Speed up Mobile App Development. Natively deploy on many devices. Mobile and Backend Integration Data Transformation and Aggregation Rapid and flexible integration Business Logic Data Highly reliable transaction backbone

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