Complex Event Prosessing

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

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

Event Processing SolutionsTransform Events, Detect Situations, Automate Responses & Deliver Operational BI
Automated response
Continuously adjust business processes to reflect current conditions
Examples:
Automated pricing based on the market
Real-time Resource allocation
Situation Detection
Analyze live event streams for patterns which identify business critical situations
Examples:
Fraud Detection
Service Level Targets outside bounds
Customer Behavior Patterns indicate a problem
Stream Transformation
Cleanse and enrich live data streams, turning raw data into actionable info
Examples:
Streaming alternative to ETL
Filter and aggregate into summary information
Operational BI
Live dashboards that show actionable information for better decision making
Examples:
Real-time P&L, Limits, & Exposure Mgmt
Online marketing and offer performance
System monitoring vs target performance
© SAP AG 2010 All rights reserved. / Page 3

SAP BUSINESSOBJECTS EVENT INSIGHTReal-time Visibility Across the Enterprise
Direct Push to User
BI
Analytics
GRC
Business User Applications
SAP BusinessObjects Event Insight
SAP Applications
Other Data Sources
Databases
Department
Enterprise
Trusted Partners
Key Functions and Features
Intelligent event grid – Continuously aggregate event data and process queries from multiple data sources across a distributed network
Complex event processing (CEP) engine – Process large volumes of event data to identify complex patterns hidden in raw events in real time
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
Administrative UI – Set up event agents on various data sources (e.g. data warehouses, applications, sensors) and monitor structured and unstructured data without programming
Addressed Customer Pain Points/Qualifiers
Loss of opportunity due to poor visibility into events across business network
Loss of business due to slow response to adverse events
High cost to integrate events from a large number of data sources across a large value chain
Slow to adjust business processes quickly to reflect current conditions
Value Proposition
Increase revenue by identifying new business opportunities
Improve customer satisfaction by detecting services issues before complaints arise
Reduce cost by optimizing resource allocation in real time
Improve agility with analysis of real-time information
Minimize business risk by monitoring events
Real-time push of information to business users
Cross-enterprise automation
System scaling
Manage the data “in place”
Allow local control over data administration
Layer on top of existing landscape

SyaseAleri Streaming PlatformReal-time Visibility Across the Enterprise
Key Functions and Features
Complex event processing (CEP) engine: processes multiple streams of event data enabling detection and action of business events in real time
Filtering, enrichment, and error correction for incoming business data
Visual studio: enables rapid development and deployment of applications – 67-85% less time
Adapters and APIs: integrate with a wide-variety of data sources
Addressed Customer Pain Points/Qualifiers
Customers are looking to predict their business needs
High volume/velocity of data (internal and external) overwhelming
High volume/velocity of data (internal and external) overwhelming existing systems
Need for complex analysis to be performed in real time
Current approach to real-time analytics requires long development cycles
Value Proposition
Market leader in real-time analytics in capital markets
Low latency performance leader – can handle extreme data streams
Robust real-time applications can be developed in a fraction of the time
Simple and powerful development environment

Keep Deliveries On TimeCanadian National Railway

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

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

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

Complex Event Prosessing

by ugur candan

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