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Information Systems Concepts
What are Information Systems?
Roman Kontchakov
Birkbeck, University of London
Based on Chapter 1 of Bennett, McRobb and Farmer: Object Oriented Systems Analysis and Design Using UML, (4th Edition), McGraw Hill, 2010
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Information Systems Concepts What are Information Systems? Roman Kontchakov Birkbeck, University of London Based on Chapter 1 of Bennett, McRobb and Farmer: Object Oriented Systems Analysis and Design Using UML, (4th Edition), McGraw Hill, 2010
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Based on Chapter 1 of Bennett, McRobb and Farmer: Object Oriented Systems Analysis and Design Using UML, (4th Edition), McGraw Hill, 2010
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n Information and Information Systems
n Section 1.5 (pp. 33 – 38)
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n Operational Systems automate the routine, day-to-
n Management Support Systems help managers to
n Office Systems automate or assist in the work of
n Real-Time Control Systems typically operate physical
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Level of management Focus of decision making Typical IS applications Typical IT solutions Pivotal concept
Operational
management day-to-day staff activities and production support payroll, invoicing, purchasing, accounting database, application generator Data Tactical line management policies in support
and resource allocation budget analysis, salary forecasting, inventory scheduling, customer service data warehouse, analytical processing, spreadsheets Information Strategic executive/ senior management strategies in support of
term objectives market and sales analysis, product planning, performance evaluation data mining, knowledge management Knowledge
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n Data = raw facts representing values, quantities, concepts
n e.g., telephone numbers
n Information = data that have been processed or summarized
n e.g., telephone numbers grouped by their areas, industries
n Knowledge = understanding of information, obtained by
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tacit (in a person’s mind) or documented (in some form)
n e.g., how the telephone numbers can be used in
telemarketing to entice people to buy products
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n OnLine Transaction Processing (OLTP) systems
n Transaction – a logical unit of work that accomplishes a
n Database technology
n persistent storage n concurrency control n integrity constraints n security
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n OnLine Analytical Processing (OLAP) systems
n Analysis of pre-existing historical data to facilitate decision
n Data warehouse technology
n summarizing (aggregation) n packaging (into graphs, charts, spreadsheets, animations, ...) n partitioning (reducing amount of data)
n Data marts
subset of data relevant to a particular dept/function
n Data webhouses
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n Knowledge Processing Systems
n “know-how” – intellectual capital accumulated through
n Knowledge Management – to help organizations discover,
n Data mining n association (patters of one event leading to another) n classification (facts that fall into predefined categories) n clustering (categories discovered by an algorithm) n AI techniques à predictive rather than retrospective models
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n Different Types of Information Systems
n 3 Management Levels
n Data, Information and Knowledge