IST4e Chapter 8
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Transcript IST4e Chapter 8
Chapter 8
Enhancing Business Intelligence
Using Information Systems
8-1
“Most executives, many
scientists, and almost all
business school graduates
believe that if you analyze data,
this will give you new ideas.
Unfortunately, this belief is
totally wrong. The mind can only
see what it is prepared to see.”
Edward de Bono,
Creative Thinking Guru
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Business Intelligence (BI)
8-2
Gather & analyze information from internal/external
sources in order to make better business decisions.
Used to monitor & control processes from
disconnected reports, databases, & spreadsheets
BI Continuous Planning
Continuously monitor and analyze business
processes
Results lead to ongoing adjustments
Involves decision makers from all levels
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
TYPES OF INFORMATION SYSTEMS
KIND OF SYSTEM
GROUPS SERVED
EXECUTIVE
(STRATEGIC) LEVEL (ESS)
SENIOR
MANAGERS
MANAGEMENT LEVEL
(MIS) and (DSS)
MIDDLE
MANAGERS
OPERATIONAL
LEVEL (TPS)
SALES &
MARKETING
IS Today (Valacich & Schneider)
OPERATIONAL
MANAGERS
MANUFACTURING
FINANCE
ACCOUNTING
HUMAN
RESOURCES
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4/11/2016
Business Processes Supported by Functional
Area Information Systems
8-4
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4/11/2016
INTERRELATIONSHIPS AMONG SYSTEMS
External
ESS
External
MIS
DSS
TPS
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Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Operational Level
8-6
Day-to-day business processes
Interactions with customers
Information systems used to:
Automate repetitive tasks
Improve efficiency
Decisions:
Structured
Recurring
Can often be automated using IS
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Managerial Level
8-7
Functional managers
Monitoring and controlling operational-level activities
Providing information to executive level
Midlevel managers
Focus on effectively utilizing and deploying resources
Goal of achieving strategic objectives
Managers’ decisions
Semistructured
Contained within business function
Moderately complex
Time horizon of few days to few months
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4/11/2016
Executive Level
8-8
President, CEO, vice presidents, board of directors
Decisions
Long-term strategic issues
Complex and nonroutine problems
Unstructured decisions
Long-term ramifications
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Comparison of Decision-Making Levels
8-9
Operational
Level
Managerial
Level
Executive
Level
Who
Foreman or supervisor
Midlevel managers and
functional managers
Executive-level
managers
What
Automate routine and
repetitive activities
Automate the monitoring
and controlling of
operational activities
Aggregate summaries
of past organizational
data and projections of
the future
Why
Improve organizational
efficiency
Improve organizational
effectiveness
Improve organizational
strategy and planning
IS
Transaction
Processing Systems
(TPS)
Management Information
Systems (MIS)
Executive Information
Systems (EIS)
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4/11/2016
Transaction Processing Systems (TPS)
8-10
Operational level
Purpose:
Processing of business events and transactions
Increase efficiency
Automation
Lower costs
Increased speed and accuracy
Examples:
Payroll processing
Sales and order processing
Inventory management
Product purchasing, receiving, and shipping
Accounts payable and receivable
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Architecture of a TPS
8-11
Processing
Online
Immediate
results
Batch
Transactions
collected and
processed later
Not needed
immediately
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Management Information Systems
8-12
Managerial level
Purpose:
Produce reports
Support of midlevel managers’ decisions
Examples:
Sales forecasting
Financial management and forecasting
Manufacturing, planning and scheduling
Inventory management and planning
Advertising and product pricing
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Business Intelligence
8-13
Components
Information and Knowledge Discovery
Search for hidden relationships
Hypotheses testing
Ad Hoc Queries and Reports
Examples:
Scheduled Reports
Exception Reports
* Drill-down Reports
* Key-Indicator Reports
Online Analytical Processing (OLAP)
Complex, multidimensional analyses of data stores for data
mining
OLAP data components:
Measures (or facts)—values or numbers the user wants to analyze
• Categorized data
IS Today (Valacich & Schneider)
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4/11/2016
Data Mining
8-14
Association Discovery - Technique used to find correlations
Sequence Discovery - Association discovery over time
Text mining - Extracting information from text documents
Can be applied to a variety of documents:
Web sites
Transcripts (phone calls, interview, applications)
Web Mining - Analyze usage or content of Web pages
Used by Amazon.com to see customer’s usage
Clickstream data—recording of the user’s path through a Web site
Stickiness—ability to attract and keep visitors
IS Today (Valacich & Schneider)
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4/11/2016
Executive Information Systems
8-15
Aka Executive support system
Executive level
Purpose:
Aid in executive decision making
Provide information in highly aggregated form
Examples:
Executive-level decision making
Long-range and strategic planning
Monitoring of internal and external events and resources
Crisis management
Staffing and labor relations
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Decision Support Systems (DSS)
8-16
Decision-making support for recurring problems
Used mostly by managerial level employees (can be
used at any level)
Interactive decision aid
What-if analyses
Analyze results for hypothetical changes
Example: Microsoft Excel
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Collaboration Technologies
8-17
Increased need for flexible teams
Virtual teams—dynamic task forces
Flexible, form and disband as needed
Fluctuating team size
Need for new collaboration technologies
Groupware - Enables more effective team work
Disregard for time and place
Asynchronous – Lotus Notes, Email, Calendaring, newgroups
Synchronous – Electronic Meeting systems
Use: brainstorming, strategic planning, focus groups
Web-based
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4/11/2016
Intelligent Systems
8-18
Artificial intelligence
Simulate human intelligence
Expert Systems
Reasoning, learning, seeing, hearing,
walking, talking, and feeling
Rule-based systems
Neural Networks
Approximation of human brain functioning
Training to establish common patterns
New data compared to past information
Intelligent agents (bots– software robots)
Program that works in the background
Acts when a specific event occurs
IS Today (Valacich & Schneider)
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4/11/2016
Knowledge Management Systems
8-19
Generating value from knowledge assets
Collection of technology-based systems
Knowledge assets
Skills, routines, practices, principles, formulas, methods,
heuristics, and intuitions
Used to improve efficiency, effectiveness, & profitability
Documents storing both facts and procedures
Examples: Databases, manuals, diagrams, books, etc.
Explicit knowledge - documented
Tacit Knowledge – located in one’s mind
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016
Information Visualization
8-20
Application of sophisticated statistical techniques
What-if analyses to support decision making
Capabilities can be embedded into a large range of
systems
Digital dashboards
Geographic Information Systems
Use
geographically referenced information
Ex: optimal store locations, target customers
IS Today (Valacich & Schneider)
Copyright © 2010 Pearson Education, Inc. Published as Prentice Hall
4/11/2016