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9

t h

E u r o p e a n T D W I C o n f e r e n c e , M u n i c h , 1 5 . 0 6 . 2 0 0 9

Dr. Olivera Marjanovic

University of Sydney

Christian Schieder

Chemnitz University of Technology

Operational Intelligence

(2)

2

Agenda

What is Operational

Intelligence about?

Understanding

Operational Intelligence

Concepts

Case Study I:

Real-Time CDC @ Sony

Case Study II: Car

Manufactoring

Real-Time Reporting

BI and BPM

Integration Methods

and Strategies

Case Study III:

Customer Centric

Decisioning

Technologies for

(3)

What is Operational Intelligence about?

(4)
(5)

© 2009 by Christian Schieder 5

(6)

6

From Sun Tsu‘s “Art of War”…

by 663highland @ wikipedia

“Superior commanders succeed in

situations where ordinary people fail

because they obtain more timely

information and use it more quickly.”

(7)

© 2009 by Christian Schieder 7

…to Churchill‘s Adaptive Enterprise…

Bletchley Park

Intelligence Capture

Storey‘s Gate

Cabinet War Room

Whitehall Minitries

Supply Chain Management

Bentley Prior

Realtime Monitoring

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8

…and modern Battlefield Surveillance…

US AF Air and Space Operations Center

Screenshot from Command & Conquer

The Combined US Air and Space Operations Center

at an undisclosed Mideast location.

Sg t. Ji m Va rh e g yi /U SAF /AP

(9)

© 2009 by Christian Schieder 9

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10

Defining Operational Intelligence

Operational Intelligence focuses on providing

real-time monitoring

of business processes and activities as they are executed within computer

systems, and in assisting in

optimizing

these activities and processes by

identifying and detecting situations

that correspond to

interruptions and bottlenecks.

Source: http://en.wikipedia.org/wiki/Operational_Intelligence, 12.05.2009

(11)

© 2009 by Christian Schieder 11

The Cost of Latency…

Source: Hackathorn, Richard: Minimizing Action Distance, http://www.tdan.com/i025fe04.htm, 01-07 -2003.

Business transaction

Decision taken

Analysis results available

Data available in DW

Action performed

Data

latency

Analysis

latency

Decision

latency

Action

latency

Time

(Potential)

Value of Decision

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12

…differs!

Strategic Decisioning

Tactical Decisioning

Operational Decisioning

Additional Benefit from

immediate Decision

(13)

© 2009 by Christian Schieder 13

Eckerson‘s Layer Model

Source: Eckerson, Wayne W.: Best Practices in Operational BI, TDWI Best Practises Report, 2007, p. 6.

LOW

HIGH

HIGH

D

A

TA

LA

TENCY

BUSINESS VALUE

EXECUTE

PROCESSES

FACILITATE

PROCESSES

MONITOR

PROCESSES

ANALYZE

PROCESSES

Operational

reports

Operational

dashboards

applications

Composite

Analytic platforms

Event-driven

RE

AL

TIM

E

D

AIL

Y

LOW

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14

The past, the present and the situation…

Business Process

Intelligence

Business Activity

Monitoring

Complex Event

Processing

Ex post

Long-term statistical

Process Control

„The Rear Mirror“

Rule/Model generation

In situ

Alerting

Surveillance of defined

processes in execution

In situ

Detection of complex

events/ situations

Correlation of distributed

Events

(15)

Understanding Operational Intelligence Concepts

…sense…interpret…analyze…decide…respond…

Concept by Silvia Helena Cardoso, Ph.D.

(16)

12ft sharks spotted off Cornish coast by DAVID WILKES, Daily Mail 8th June 2006,

Shark

Surfer

Situation

(17)

© 2009 by Christian Schieder 17

 System Capabilities

 Interface Design

 Stress & Workload

 Complexity

 Automation

 Abilities

 Experience

 Training

 Goals & Objectives

 Preconceptions (Expectations)

Information Processing Mechanisms

Long Term

Memory Store Automaticity

Performance of Actions Decision

Situation Awareness

Projection of future Status Comprehension of current Situation Perception of Elements in current Situation State of the Environment

Level 1 Level 2 Level 3

Feedback

Individual Factors

Task Factors

Endsley, M. R. (1995b). Toward a theory of situation awareness in dynamic systems. Human Factors 37(1), 32-64

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 System Capabilities

 Interface Design

 Stress & Workload

 Complexity

 Automation

 Abilities

 Experience

 Training

 Goals & Objectives

 Preconceptions (Expectations)

Applications

Data Warehouse Business Rules Repository Performance of Actions Decision

Situation Awareness

Predictive Analytics Business Intelligence Business Activity Monitoring State of the Environment

Level 1 Level 2 Level 3

Feedback Strategy People IT Infrastructure Processes Individual Factors Task Factors

(19)

© 2009 by Christian Schieder 19

 System Capabilities

 Interface Design

 Stress & Workload

 Complexity

 Automation

 Abilities

 Experience

 Training

 Goals & Objectives

 Preconceptions (Expectations)

Applications

Data Warehouse Business Rules Repository Performance of Actions Decision

Situation Awareness

Predictive Analytics Business Intelligence Business Activity Monitoring State of the Environment

Level 1 Level 2 Level 3

Feedback Strategy People IT Infrastructure Processes Individual Factors Task Factors

(20)

20

Key Requirements for Operational Intelligence

Responsiveness

Agility

Flexibility

(21)

Technologies for Operational Intelligence

responsiveness, agility, and flexibility

(22)

22

(23)

© 2009 by Christian Schieder 23

Operational Business Intelligence Architecture

ETL-Batch

Event Streams

Purchasing

Sales

Production

ETL-Batch

Micro

Batches

ERP

SCM

CRM

Legacy

Workflow-Engine

ODS

Data Warehouse

Stream Cache

Business

Rules

Engine

Business

Rules

Repository

Dashboards

OLAP

Reports

Mobile

Devices

Data Mining

Executives

Analysts

Decision

Makers

Processes

Systems

Data Integration

Data Storage

Decisions

Analysis

Users

Event

Processing

Engine

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24

It‘s about Latency reduction!

Data latency

Analysis latency

Decision latency

(25)

© 2009 by Christian Schieder 25

Scale (sec)

System

Stratum

10

7

10

6

10

5

Social

10

4

10

3

10

2

Task

Task

Task

Rational

10

1

10

0

10

-1

Unit Task

Operations

Deliberate Act

Cognitive

10

-2

10

-3

10

-4

Neural Circuit

Neuron

Organelle

Biological

Time Scale of Human Actions

(26)

26

Concepts and Technologies for Latency reduction

Data latency

Micro-batches

Change Data Capture

Event Stream Processing

In-Memory-Databases

Data Synchronization

Analysis latency

Data Mining

Process Mining

Visual Analysis

Business Activity Monitoring

Decision latency

Business Rules Engines

Complex Event Processing

Action latency

(27)

© 2009 by Christian Schieder 27

(28)

Case Study I –

Talend

(29)

© 2009 by Christian Schieder 32

Agenda

What is Operational

Intelligence about?

Understanding

Operational Intelligence

Concepts

Case Study I:

Real-Time CDC @ Sony

Case Study II: Car

Manufactoring

Real-Time Reporting

BI and BPM

Integration Methods

and Strategies

Case Study III:

Customer Centric

Decisioning

Technologies for

(30)

Case Study II – DMC Group

Realtime Reporting in Camshaft Manufactoring

(31)

BI and BPM Integration Methods and Strategies

…getting down to business…

(32)

Case Study III – Accenture

(33)

© 2009 by Christian Schieder 36

http://web.mit.edu/sheffi/www/

http://www.lessons-from-history.com

http://www.senseandrespond.com/SHHaeckel.html

(34)

37

Literatur II

http://complexevents.com/

http://www.manning.com/etzion/

(35)

© 2009 by Christian Schieder 38

Contact

Christian Schieder

Research Associate

Chemnitz University of Technology

Faculty of Business Administration and

Economics

Chair for Systems Engineering and Information

Systems

Dr. Olivera Marjanovic

Senior Lecturer

University of Sydney

Faculty of Economics and Business

Thueringer Weg 7, 09126 Chemnitz, Germany

Tel. : +49 (0)371 531 35792

Fax : +49 (0)371 531 8 35792

Mail:

[email protected]

http://www.tu-chemnitz.de/wirtschaft/wi2/mitarbeiter/cschie.php

Room 434, H69 - Economics and Business Building,

The University of Sydney, NSW 2006 Australia

Phone: +61 2 9351 8477

Fax: +61 2 9351 7294

Mail:

[email protected]

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