Transcript computerappsenterprise_lectures6789

Computer applications in the modern
enterprise
Επιχειρησιακές Εφαρμογές Η/Υ
Lectures 6-9: Get closer to what the real thing is –
Business Intelligence as IT application
Univ. of the Aegean
Financial and Management Engineering Dpt
Petros KAVASSALIS
<[email protected]>
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What you will learn in this course
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A set of fundamental concepts and frameworks for understanding the
potential impact of information technology (IT) on business strategy and
structure
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Computers and Information Systems (IS)
The business value chain
Business integration through Enterprise Application Integration
Information Systems in practice: How does the modern enterprise use
“Business Intelligence” (BI) systems to improve decision-making
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Methods and BI examples
“Hands-on” experience: create business reports by using Eclpise BIRT Reporting Tool
(http://www.eclipse.org/birt/phoenix/)
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Communication tools
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e-mail: [email protected]
Course web site: see FME web site
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Students evaluation
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Class Participation (20%)
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Assignments (20%)
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Final Exam (60%)
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What I am going to say
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Within the modern enterprise
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Inter-organizational relationships
Intra-organizational relationships
are supported by Information Technologies
It is about enterprise applications that inter-operate to move
information around
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Not only within existing business frontiers but also within the network
of the collaborators and customers of an enterprise
Not randomly but in an organized way, within the enterprise
architecture framework
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Enterprise Architecture Framework
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or Enterprise Application Integration (EAI)
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It is what makes businesses to differentiate from the
competitors
IT as strategic business enabler
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The organizing logic for) for aligning business operations and IT
infrastructure reflecting priorities and other internal decisions (MIT
CISR …
For delivering goods and services to the customer
IT to improve operational efficiency
IT to meet existing and new business needs
IT need investments
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Enterprise architecture
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Why IT? more
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You know:
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Companies are moving aggressively to computerized support of their
operations
Why?
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Operational efficiency
Better serve customer needs
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Leverage new opportunities
More:
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Business pressures (BP)
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Organizational Responses (BR)
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Result of today's competitive business climate
To counter the pressures
Computerized Decision Support (CDS)
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To better organize the process of decision making
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Decisions and Support
[Reference: E. Turban et al., 2011, Business Intelligence,
Pearson – chapter 1]
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Business Pressures (BP)
[Reference: E. Turban et al., 2011, Business Intelligence,
Pearson – chapter 1]
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FACTOR
Markets
DESCRIPTION
Strong competition
Expanding global markets
Blooming electronic markets on the Internet
Innovative marketing methods
Opportunities for outsourcing with IT support
Need for real-time, on-demand transactions
Consumer Desire for customization
demand
Desire for quality, diversity of products, and speed of delivery
Customers getting powerful and less loyal
Technology More innovations, new products, and new services
Increasing obsolescence rate
Increasing information overload
Social networking, Web 2.0 and beyond
Societal
Growing government regulations and deregulation
Workforce more diversified, older, and composed of more women
Prime concerns of homeland security and terrorist attacks
Necessity of Sarbanes-Oxley Act and other reporting-related legislation
Increasing social responsibility of companies
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Greater emphasis on sustainability
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Organizational Responses
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Organizations should be
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Reactive
Anticipative
Adaptive
Proactive
Support executives and work practice with exact knowledge
on “what is going on” in each area of operation, process etc.
More general: Business action needs computerized support
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Please give examples
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From a Bank
Insurance
Tourism industry
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Computerized Decision Support
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Informing about the reality
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See New York Municipality site (CPR)
Rationalizing and improving the decision-making process
Closing the gap between the current performance of an
organization and its desired performance (i.e. where do we
want to go?)
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as expressed in its mission, objectives, and goals, and the strategy to
achieve them
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Business Intelligence: definition (1)
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BI is an evolution of decision support concepts over time
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Meaning of EIS/DSS…
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BI is an umbrella
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Then: Executive Information System
Now: Everybody’s Information System (BI)
Architectures
Tools
Applications
Methodologies
BI systems are enhanced DSS with additional visualizations,
alerts, and performance measurement capabilities
The term BI emerged from industry apps
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Business Intelligence: definition (2)
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BI's objective is to enable easy access to data (and models) to provide
business managers and key workers with the ability to conduct analysis
BI helps transform data:
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to information (and knowledge)
to decisions and finally to action
BI app components
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Data warehouse, with its source data
Business Analytics, a collection of tools for manipulating, mining, and
analyzing the data in the data warehouse;
User Interface (e.g., dashboard)
+ Business Performance Management (BPM) for monitoring and analyzing
performance
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Business Intelligence: architecture
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BI from the Univ. of Michigan
[http://www.bi.umich.edu/learn/what.html?autoplay=true&tra
nscript=true]
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BI example
[http://www.epagogix.com/]
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... Starts here
BI LifeCycle (1)
Planning
ΗΠΑ:
Department of Defense
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BI LifeCycle (2)
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Planning / Tasking
Data Collection
Processing & Exploitation
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Analysis
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Iterative process
Production – Dissemination
Use
<[email protected]>
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BI LifeCycle: Planning & Data Collection
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Planning
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Why? Who will use it?
Expected Results
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Reports
Web Site
More?
Project Design
Time Plan
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Data Collection
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Preparation Phase
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Data Sources
Collection Period
Familiarization with Data
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Data Cataloging
Sources Cataloging
Filtering
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BI LifeCycle: Processing & Exploitation
Howson:
Successful Business Intelligence
Data from
External
Sources
{ETL: extract, transform, load}
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BI LifeCycle: Processing & Exploitation
(cont.)
E Turban et al: Business Intelligence, Pearson
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BI LifeCycle: Analysis
[Business Analytics, BA]
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Wikipedia
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Business analytics makes extensive use of data, statistical and
quantitative analysis, explanatory and predictive modeling, and factbased management to drive decision making. Analytics may be used
as input for human decisions or may drive fully automated decisions.
Business intelligence is
Querying
Report Design (dashboards and scorecards)
Alerts
Cube Analysis (OLAP)
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BI LifeCycle: Production & Dissemination
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S. Ottl: Emerging Trends in Business Analytics and Business Intelligence
In a nutshell
Process Time
Analysis Time
Action Time
Technical Staff
Field Users
Managers
Executives
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BA example
[http://www.quadbase.com/espressreport/help/examples/i
ndex.html]
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