Small use cases. Lynn Bjontvedt, PSC Jií Gregor, GALEOS

Transcription

1 Small use cases Lynn Bjontvedt, PSC Jií Gregor, GALEOS October 2010

2 In general Order sizes + = Trading volumes Data! 2

3 Market monitoring and surveillance Monitor liquidity and latency of order fills Spot market abuse: front-running painting-the-tape ramping etc. Flash-crash No effective policing of markets A mainstream controversy 3

4 How the FSA and Turquoise Make Progress: Preventing Market Abuse Pain: Market abuse Solution: Observing and responding to fraudulent patterns in real time Value: Prevented $ millions in loss from rogue traders 4

5 Architecture of an Event-Based Solution Apama Dashboards Insider Dealing Ramping Window Dressing Multiple Cancellations CEP Engine Event Store Capture for Backtesting & Analysis Scenario Manager. Market Data News Historical Internal. 5

6 Surveillance accelerator V2, launched April 2010 quick start package - best practises accumulated 6

7 European Bank Credit Card Fraud Detection Monitoring ATMs, credit cards, direct debits and bank transfers Introduced an event-driven architecture Reduced the time to process a suspected credit card abuse from 5 hours down to 5 minutes 7

8 Other Reference Cases

9 Prevent Loss Fraud Prevention: Crown Casino Pain: Prevent fraud in the casino. Thousands of gamblers; hundreds of surveillance cameras; only 10 surveillance officers. What to look at? Solution: Monitoring casino event (cards, chips, wins, losses, player identity, dealer identity) for fraudulent patterns in real-time. Point cameras at the likely fraud scenarios. Value created: Prevents $5m+ losses per year. Improved reputation from less fraud. 9

10 How Royal Dirkzwager Makes Progress: Smart Maritime Logistics Pain: Customers wanted better, faster service and more reliable information Solution: Real-time visibility and control to optimize vessel speeds Value: Faster response rates and huge cost savings from operational efficiency 10

11 Gathering, Processing & Distribution Information flows (Europe) AIS ISRA Member ShipReporting Interpretation & validation European Maritime (Intermodal) Community 11

12 Empower your Business Users to Track Activity On the Fly Monitoring Rule!"#"$ %&' (,- %) ') *+. () -) BRANCH MANAGER SALES PERSON Real-time data streams Temporal sequencing Complex event sequences Real-time constraints Automated actions 12

13 How 3Italia Makes Progress: Maximizing Profit with Revenue Assurance Pain: Revenue leakage from pre-paid calling cards Solution: Real-time credit checks Value: $10m saved per year 13

14 Another telco use case (under development) One of Europe s largest GSM operators Pain: BI approach too slow to cover real-time marketing needs Solution: Immediate sense-and-respond to subscriber actions Value: Faster time-to-market of personalized marketing campaigns 14

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16 Appendix Complex Event Processing and Apama basics

17 The State of Current Technology Data Capture Data Storage Data Analysis Action Existing architectures have a past-tense view Designed for transaction processing, not real-time response Correlating and filtering events from moving streams is difficult Creating a real-time, composite view from heterogeneous sources across the enterprise is challenging Time and spatial analysis is too complicated or not possible 17 Leads to reactive decision making

18 Business is Event-Driven Information Flow Events flow in and out of the enterprise Traditional applications Order entry, Reservations, Inquiries Sensor networks SCADA, GPS/GIS, RFID, Barcode Web and on-line services Clickstreams, games, auctions Transaction streams Authorizations, market ticks, weather data 18

19 Business is Event-Driven How many orders were placed for a stock? 19

20 Business is Event-Driven Applications Events flow in and out of the business every day Devices (GIS, controls, telemetry, etc.) Networks (Web, markets, etc.) How you respond to them defines your competitive advantage Managing business events in real-time: Gives you the situational awareness to act on opportunities or threats to the business Increases business precision by knowing what s happening now 20

21 What is Event Processing? Event Processing technology enables applications to monitor, analyze and act on data in motion. Upstream/Downstream Apps Devices (GIS, controls, telemetry, etc.) Event Correlator Data (warehouse, historian, etc.) Monitor: Track multiple streams of event data Analyze: Identify meaningful patterns 21 Act: Act on opportunities and threats in real-time

22 Inside Apama 22

23 Apama Architecture 23

24 Legacy and BTM Support 24