What is Complex Event Prosessing (CEP)? How does SAP technologies manage CEP.

1. Monitoring Business Events in Real Time to Improve OperationsBenefits of Selling Event Processing Solutions from SAP & Sybase Ugur Candan COO SAP Türkiye

2. Event Processing PlatformsFor Real Time Response to Opportunities or Threats Provide situation awareness to help people make faster and better near-term operational decisions 700k /sec* Analytical, tactical & strategic BI initiatives, corporate performance management In Memory 100 /sec Event driven Request & time driven Continuous Intelligence Complexity of patterns & relationships of Events Events Latency 15min 1min Milliseconds * Sybase Coral8 (CEP engine) can process ~750,000 events per second** e.g., SAP Event Insight with Dashboards and BPM / BRM as ‘light’ applications All content based on Gartner Report ‘Where and Why to use Event Processing Platforms © SAP AG 2010. All rights reserved. / Jan-G. Groeneveld, NSA / Page 2

5. Service Level Targets outside bounds

8. Online marketing and offer performance

9. System monitoring vs target performance© SAP AG 2010 All rights reserved. / Page 3

11. Complex event processing (CEP) engine – Process large volumes of event data to identify complex patterns hidden in raw events in real time

12. Integration with semantic layer in SAP BusinessObjects BI platform – Create data models, run queries against event streams, send alerts, and deliver insight via tools such as Crystal Reports

14. Loss of business due to slow response to adverse events

15. High cost to integrate events from a large number of data sources across a large value chain

17. Improve customer satisfaction by detecting services issues before complaints arise

18. Reduce cost by optimizing resource allocation in real time

19. Improve agility with analysis of real-time information

20. Minimize business risk by monitoring events

21. Real-time push of information to business users

22. Cross-enterprise automation

23. System scaling

24. Manage the data “in place”

25. Allow local control over data administration

27. Filtering, enrichment, and error correction for incoming business data

28. Visual studio: enables rapid development and deployment of applications – 67-85% less time

30. High volume/velocity of data (internal and external) overwhelming

31. High volume/velocity of data (internal and external) overwhelming existing systems

32. Need for complex analysis to be performed in real time

34. Low latency performance leader – can handle extreme data streams

35. Robust real-time applications can be developed in a fraction of the time

37. SAP BusinessObjects Event InsightUnderstand the Impact of Business Events as they Unfold Event InsightNode Discover Respond Event InsightNode Respond quickly to changing business conditions (velocity) Find out what events are important in volumes of data Event Pattern Event InsightNode Event InsightNode Intelligent Event Grid Monitor Events Capture and combineraw events from a varietyof data sources in real-time

38. SAP BusnessObjects Event Insight Monitoring Events Across Business Network Event InsightNode Event Insight Node Event InsightNode WWW Heterogeneous Data Sources Supplier Mfg Plant Apps Apps Distributed Event Insight Node Event InsightNode Event Insight Apps Events Occur Custom DB Event InsightNode DSD DistributionCenter Intelligent Event Grid: Network across Locations and Companies Retailer A Distribution Center Distribution Center Event InsightNode Event InsightNode Apps BW Retail Store A Retail Store B

39. How SAP BusinessObjectsEvent Insight WorksDiscovering What Events Are Important Event InsightNode Event InsightNode Event InsightNode WWW Event Pattern Supplier Event Pattern Identified Define Event Pattern Mfg Plant Apps Apps Event InsightNode Event InsightNode Apps Custom DB Event InsightNode DSD DistributionCenter Retailer A Distribution Center Distribution Center Event Insight Node Event Insight Node Apps BW Retail Store A Retail Store B