2. Welcome to the course!
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Your name?
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Backgrounf in IS:
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Role (user, developer, tester, customer)
Examples of IS you have used/seen?
Expectations
3. Course aims
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Understand the definition, purpose and
an abstract model of an IS;
Get overwiev of different types of IS and
their application areas, along with typical
examples of IS (both opensource and
commercial)
Intriduce basics of system analysis with
relevant methodologies, tools and
techniques.
4. How we do it?
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Lectures (face-to-face and distant, over
Google Hangouts) and teamwork
Final exam, consists of
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Hometask (40%)
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Cross-evaluation (20%)
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Moodle test (40%)
7. The purpose of IS
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Main purpose: to help manager make
“right” decition in “right” time
In addition:
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Store and process data (data banks)
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“Flatten” organizational structure
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Simplify business processes
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Save on time, money and workforce
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Increase customer satisfaction ratio
8. Components of IS
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Data (or, information)
Technology (hatrware&software) to
manage data (gather, store, process,
analyse, transmit, report)
People (roles, competences, knowledge)
Regulations (rules, business processes)
anout applying technologies to data
9. IS defitition
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IS is a collection of hardware, software,
data, people and procedures that work
together to produce quality information.
IS does not mean “piece of software”
and can exist even without computers!
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Examples, please!
10. Key definitions (1/3)
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Data: classified facts about everything in
the world.
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Format (number, text, image, voice)
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Medium (paper, file, film)
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Operations (cut-copy-paste, clone,
delete)
11. Key definitions (2/3)
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Information: data with its semantics
(meaning to recipient)
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Decreses level of uncertainity
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Extremely subjective (90-60-90 problem)
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Has great value (compared to raw data)
12. Big data problem
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Twitter messages: 400M per day
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YouTube videos: 100h per minute
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Facebook likes: 30 000 per second
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E-mails: 1M per minute
Who and how can find potential
problems? Where to store it? Etc...
13. IS value
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Why IS costs 99999999999€?
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Value of IS is proportional to a level of
complexity of decisions, that can be
made based on processed data;
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One-time investment compared to the
amount of money that can be saved, or
earned, with help of IS
16. Digital firm
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Operates business continuously in a
global workplace
Adapts business strategies to meet
market demands
Creates business value from technology
investments
Drives efficiency improvements in
customer relationship management,
inventory and supply chain, sales, etc.
21. IS requirements
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Organization with its stakeholders,
aimes, questions to be answered (who
and which decision wants to make)?
Data sources, permanent dat flow
Well-described business processes
(rules, limitations, standards)
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Relevant technology
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Team with a strong leader (CIO)
26. IS technology priorities
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Cloud computing
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Virtualization
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Mobile technologies
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Business intelligence
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Big data, warehousing and data mining
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Unified communications
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Security management and risk mitigation
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Web and social integration
28. (a) by interaction level
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Replaces people vs assists people
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Examples, please
Real-time vs batch-processing
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Examples, please
29. (b) by management level
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Operational
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Management
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monitor and automate the day-to-day’s
elementary activities and transactions,
support workers with required knowledge
support the monitoring, controlling,
decision-making, and administrative
activities of middle managers
Strategic
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support long-range planning activities of
senior management
30. (c) by purpose
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Executive Support Systems (ESS)
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Management Information Systems (MIS)
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Decision Support Systems (DSS)
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Knowledge Work Systems (KWS)
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Office Automation Systems (OAS)
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Transaction Processing Systems (TPS)
31. (c) by functional area
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Accounting/finance
Manufacturing (operations, production,
supply chain management)
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Sales & marketing
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Human resources
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Customer relationships
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Enterprise resource planning