1. Complex Events Processing

2. Remember This? 50 million people affected
Create an interesting opening and compelling story that will be used to provide context for our solution offering. Spend a short time describing this event.
50 million people affected
Nuclear power plants in New York and Ohio shut down
Air traffic was slowed as flights were halted

3. Why? Electric Power Research Institute (EPRI) White Paper Findings:
Lack of understanding of VAR reserves in the region and the adjacent regions, coupled with the possibility of inadequate dynamic VAR support available from generators. (VAR is shorthand for reactive power, which is the additional power required for maintaining voltage stability when serving certain kinds of load, such as motors, air conditioning, and fluorescent lights.)
Insufficient “visibility” of power flow conditions over the entire region, coupled with inadequate coordination, control and communication of the power system on a regional basis. That information is flowing from 27 distribution feeds, eight re-closure or safety switches and 4,192 transformers.
Insufficient understanding of the potential impact on August 14, 2003 of new power flow patterns caused by increased wholesale power transfers resulting from industry restructuring.
Lack of real-time regional and interconnection-wide power flow models for anticipating changing flow patterns and the formation of new bottlenecks.
These are the findings of the Electric Power Research Institute, (an independent, non-profit company performing research, development and design in the electricity sector for the benefit of the public) into the causes of the power outage. The highlighted words describe areas where our solutions can be of help.

4. Enterprise 1.0 Enterprise 2.0 Enterprise 3.0 Data Processing Mainframe
(2000 – 2020)
Data Processing
Mainframe
Client Server
Database
Predictive
ESB
Building Block
2-Tier
3-Tier
N-Tier
Software
Batch
Online
Event Driven
Velocity
Describe the makeup of each of the generations. When transitioning from Enterprise 2.0 to 3.0, focus on:
Moving from a database centric environment to an ESB centric environment
Capturing and making use of all events rather than just the information that makes it into the database
Functionality distributed across the environment with n-tiers
Could use an example of using events such as: potential book buyer online who searches for a book, finds it, is presented the price and then does not complete the transaction. Nothing would appear in the database, however, the events that took place are interesting and usable. The next time this individual enters the site, perhaps a coupon could be offered based on the price sensitivity that the previously captured events demonstrated.
000’s
000,000’s
000,000,000,000’s
Interactions 4

5. Enterprise 1.0 Enterprise 2.0 Enterprise 3.0 Data Processing Mainframe
(2000 – 2020)
Half Life of Data
Amount of Data
Time to
React
Data Processing
Mainframe
Client Server
Database
Predictive
ESB
Building Block
2-Tier
3-Tier
N-Tier
Software
Batch
Online
Event Driven
Velocity
Additional characteristics of the evolution to Enterprise 3.0:
-the amount of data is drastically increasing
-the useful life of data (before it is out-of-date) is decreasing rapidly
-the time to react to new data is decreasing rapidly
000,000’s
000,000,000’s
000,000,000,000’s
Interactions 5

6. The Data Advantage Threats & Opportunities Events Enterprise 3.0
Transactions
Enterprise 2.0
This graphically illustrates the evolution to an event driven Enterprise 3.0 world where we can use events to minimize threats and take advantage of opportunities like the online book buying example that was mentioned previously. 6

7. Understanding The Event Cloud
Enterprise Events

8. Deriving Value from Events
CEP
Enterprise Events

9. CEP enables More Effective Decisions
Dynamic Business Conditions
Point of Transaction Response to Dynamic Conditions
Business Automation
 Enables Fast Response
Effective
Real-time
Decisions
Business Event
Result Measured
Root Cause Determined
Potential Business Value
Corrective Decision Made
BE enables the users to make more effective decisions by decreasing the time it takes to act.
Especially in today’s business environment where “business processes are automated” & “business conditions change dynamically” –> Real-Time business decisions is part of the key to success.
Companies have invested significant $ over the last decade and a half to automate their business processes, . These processes do well in predictable conditions.
However, Business is dynamic - and the environment (Market, Customer, partners, employees, internal systems) and conditions can change. As these automated processes do not respond well and quickly to the changing conditions that business results suffer.
Our analysis tells us that the longer the delay between an event of interest (or a condition change) occurred TO when we diagnose and take corrective action, the lower is the value of that decision to the business. Reducing that latency between those two is the goal of real-time BI.
Action Taken
Action time

10. Using Real Time Events = A Better Way to Fly
Agenda
Overview and vision for Complex Event Processing
Real-time customer problems and solutions
TIBCO BusinessEvents capabilities
Answer your questions

11. Complex Event Processing (CEP): Premises
Business Optimization
Business Process Management
Service- Oriented Architecture
Problem
There is always a “Plan”. It Never Goes According to the “Plan”.
A “Pattern of Events” is an indicator of “opportunities” (inventory re-allocations).
A “Pattern of Events” is an indicator of “threats” (fraud, inventory shortages).
A “Pattern of Events” can be reactive situations.
A “Pattern of Events” can be predictive (early warning) situations.
Solution
CEP is the foundation technology for detecting patterns in real-time event streams correlated with historical data.
Enumerate the challenges that Complex Event Processing can help with and try to relate to the specific issues that your prospect has.

12. Velocity drives need for Event Processing
Business Cycle-Time Improvements
Perform Trading Analytics
1 hour
Mail… express… fax…
20 seconds
1 day
5 seconds
30 seconds
10 seconds
5 minutes
15 minutes
30 minutes
Airline Operations
20 minutes
Handle Call Center Inquiries
8 hours
Track Financial/Risk Position
1 day
Supply Chain Updates
1 day
Document Transfer
3 days
Phone/Service Activation
3 days
Refresh Data Warehouse
Over the past 20 years, almost all industries have experienced significant acceleration of their core processes. Activities that took days now take less than an hour and in many cases just minutes or even seconds.
Documents can be send in 30 seconds rather than 30 minutes
Stock trade can be settled in less than a day
Airline tickets can be bought in 20 seconds instead of 20 minutes
Organizations use these improvements to become market leaders.
We work with our customers constantly to identify their unique opportunities for improving business results by accelerating the speed at which processes are executed. Later in this presentation, we will provide some examples.
(supporting notes)
Link to customer success stories online:
1 month
Settle Trade/Transaction
5 days
Build-to-Order Product
6 weeks
Source: Gartner

13. Operational Intelligence in Transport & Logistics

14. Context-based Decisions in Operations
Aircraft Operations
Dispatch, Weather
Crew Management
Aircraft Communications
and Operations
Airport
Operations
Schedule Planning
Aircraft
Maintenance
Early Alert System

15. Events driving Airline Scenarios
March Madness Example
An abnormally large number of “no shows” in one day could mean a mass of extras tomorrow
Station alerting for passenger patterns, monitor check-in patterns and no-show rate
Flow Rates in/out of airport
Only X aircraft getting out of airport, but Y>X aircraft are arriving there
Prevent/avoid gridlock, compare gate and off-gate parking capacities + numbers of passengers transferring to which flights

16. The Goal: Total Situational Awareness
Require:
Better visibility into aircraft operations across all stations
Apply rules to all inputs and report situations that are out of tolerance
Display alerts in a meaningful way to inform not confuse
Motivation:
In Dec 2006 said by year-end 2007, new application development projects in enterprises will have to, at a minimum, pay "lip service" to the notion of RIAs to have sufficient credibility to gain project support (80% probability).

17. Complex Event Processing Solution
Aircraft Communications
and Operations
Dispatch, Weather
Enterprise Messaging
Enterprise Integration
Operational
Data
ODS
Services
Customer
CST
Enterprise
Warehouse
EDW
Other
Optimizers &
Solvers
TIBCO BusinessEvents
Match events & rules

18. Results Aircraft loading 6.25 flights/day/aircraft 544 aircraft
Flight Passengers
>86M passengers
Aircraft Event Volume
>60K Msgs/Day
Customer satisfaction
“Lowest ratio of complaints per passengers boarded of all Major U.S. carriers “
“Diamond Award, at the Air Cargo World awards ceremony, with the highest overall airline score leading all airlines in the Performance and Value categories.”
“Favorite Domestic Airline and ranked #1 in Best Customer Service, Best Airfare Prices, Best On-Time Service, Best Baggage Service, and Best Value Frequent Flier program, among others, in the Reader’s Choice Awards by Smarter Travel.”
...

19. Union Pacific Railways - Challenges
Pre-existing Business Challenges:
Less than half of all network schedules achieved.
Track velocity = 17 mph. Goal is 20 mph; every increase in 1 mph = $10 million saving to the bottom line (each month!).
Customers over-schedule and use crews unwisely.
Appear at capacity but a system of over-schedule.

20. Union Pacific Railways - Benefits
Maintenance & Crew Management
Outsourcer instantly knows where to deliver new crews
Automatically exchange locomotive maintenance order, fulfilment and invoicing data with service providers and business partners
Trains run 1/8th mile per hour faster!
Way Side Detection
Real-time Alerting of wayside diagnostic alerts
Service Enabled Maintenance System
Pro-actively fix wheels with faulty bearings

21. TIBCO BusinessEvents v5.0 ® The 5th Generation Event Platform

22. BusinessEvents - Overview
BE is a framework for messaging based intelligent, distributed agents
2. REASON Define rules of behavior to reason on a pattern of objects, events and time
Rules
Patterns
4. SITUATION Visualize
Predictive Enterprise
Actions
3. INFER Actions
1. SENSE Ability to listen to events and gather data on demand.
TIBCO BusinessEvents can be described not only as a CEP engine but also as an event-driven rule or real-time rule engine. TIBCO BusinessEvents enables CEP problem to be solved through a model dirven approach.
In which the developer defines the event, rule, concept(class) and state models.
It is a high performance Low Latency application which can also Persists real-time data using a highly distributed platform
Events
Objects

23. BusinessEvents: State-Oriented CEP Behavior
Event Bus or Source
Low-latency reliable
Message delivery
Event and Data Model
For Information Modeling
Temporal Model
For Determining
Time-Dependent Information
Pattern Detection Model
For Recognizing Patterns and
Defining Actions
History and Cache
New Order
Condition / TimeEvent
State Model
State 1
State 2
BE definition slide for use instead of UML / standards slide

24. Concept Model Stateful object modelling.
Easily visualize object relationships.
Concept model describes the data concepts used in BusinessEvents which may be mapped from events or their payload.
Concepts
A definition of a set of properties that represent datafields of an application entity
Can model such things as inheritance, containment, and reference other concepts ie an order can reference lineItems and derive from some other higher level object
Concepts include State models

25. State Model / Process Flow
UML-Compliant state model.
State diagram / flow diagram is simple to follow and maintain.
A state model describes the states that an entity can hold , and the transitions between states that are allowed, and the conditions for such transitions.

26. BusinessEvents: Rule-Oriented CEP Behavior
New Order
(Lots of Events)
Event Bus or Source
Low-latency reliable
Message delivery
Event and Data Model
For Information Modeling
Temporal Model
For Determining
Time-Dependent Information
Pattern Detection Model
For Recognizing Patterns and
Defining Actions
History and Cache
Rule
Complex Patterns
Reaction
BE definition slide for use instead of UML / standards slide

27. Inference Rule Features
High Performance Pattern Matching
Large catalogue of functions built in.
Rules provide one of the main behavioral mechanism in BE. Rules are defined in terms of declaration (events and concepts of interes) , conditions(filters and joins on and between the attributes of the events and concepts), and action.
The combination of rule declaration and condition defines the event pattern required for CEP operations.

28. Decision Manager Features
Rules managed in a decision-table interface.
Export/import to and from Excel.
Its friendly user interface allows business personnel with little or no technical background to author, test, and deploy business rules to the BusinessEvents engine.
Decision Manager is the client to a server component called RMS, which is a rules management server. RMS manages the lifecycle of decision projects and provides an approval work flow.

29. BusinessEvents: Query-Oriented CEP Behavior
New Order
(Lots of Events)
Event Bus or Source
Low-latency reliable
Message delivery
Event and Data Model
For Information Modeling
Temporal Model
For Determining
Time-Dependent Information
Pattern Detection Model
For Recognizing Patterns and
Defining Actions
History and Cache
Query
Complex Query
Results Event

30. Query CEP Agent Features
Common query language
Based on SQL/OQL
Familiar to SQL users.
Defined dynamically or statically.
API similar in structure to JDBC.
select city, count(*)
from LoanApp {policy: maintain last 7 days where amount > }
group by city

31. BE Views Provides visibility into real-time business events
Empowers users to make effective real-time decisions and appropriate actions on critical opportunities and issues.
It is a Real time streaming / live business and operational dashboard
Dashboard is browser based and built in flash
Charts are streaming and update in real-time
Provides a real-time UI for events / messages
Events can be sourced from: BPM, CEP, SOA…
BE Views provides the full lifecycle of event capture, management, and display.
BE Views provides real-time dashboards that Monitor automated decisions made in BE
Allows users to identify and address issues in real-time to improve the efficiency and performance of the business
Provides visibility into real-time business events (from processes, transactions, sensors, services etc) in a customizable, intuitive visual interface

32. TIBCO BusinessEvents Thematic Summary
Pattern Detection
Decisions
Processes and Views
TIBCO BusinessEvents
Complex Event Processing (CEP, ESP)
Decision Management (business rules)
Straight Thru Processing (real-time process eventing)
Real-time Dashboards (real-time Inter-active BI)

33. Application to SITS

34. Enterprise 2.0 in Action
Remember this picture? Now let’s relate it back to what could have happened in an Enterprise 3.0 enabled organization.

35. Enterprise 3.0
It's so smart that it knew there was a power outage in one neighborhood 34 minutes before the first resident called the utility.
It's so smart that the number of customer-voltage complaints — about either surges or drops — went from 70 to zero.
It's so smart that it identified a transformer that was overloaded and needed to be replaced — before it got fried.
In the past, the utility knew to replace transformers when they blew and lights went out.
The next step: to collect and share information with about 25,000 homes and businesses that have installed or will install "smart meters.“
A current customer who is using our technology to achieve better results by operating in an Enterprise 3.0 way.

36. Sample Event Processing Usage Summary
Adaptive Marketing
Pattern: Capture opportunity with customer while ‘the window is open’.
Telco
SLA (Service Assurance)
Real Time Service Offers and Analytics
Finance
Fraud Detection
Track and Trace Trades/Deals/Settlements
Pre/Post trade exceptions
Logistics - Track & Trace
Track Packages against a “Plan”. Infer package delays in a proactive manner. Alert customers.
Government
Track and Analyze ‘patterns’ that were otherwise very difficult to detect
Dynamic Resource Scheduling
Real Time Optimization of Resources against a “Plan”.

37. Next Steps
us to receive High Consequence Architecture White Paper
For more information  or to arrange a meeting to discuss your business problem  contact
Atif Chaughtai
(301)

38. Questions?