The document summarizes a course on decision support systems. It outlines the course objectives, assessment breakdown, project details, and exam format. It also defines key terms like decision support systems and describes components of DSS like databases, user interfaces, and analytical models.
Decision Support System - Management Information SystemNijaz N
Refers to class of system which supports in the process of decision making and does not always give a decision itself.
Decision Support Systems supply computerized support for the decision making process.
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management
Decision Support System - Management Information SystemNijaz N
Refers to class of system which supports in the process of decision making and does not always give a decision itself.
Decision Support Systems supply computerized support for the decision making process.
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management
A Decision Support System is a computer-based information system that supports business or organizational decision-making activities.
A DSS is a collection of integrated software applications and hardware that form the backbone of an organization’s decision making process and help to make decisions, which may be rapidly changing and not easily specified in advance.
Management information system (MIS) is
Integrated collection of people, procedures, databases, and devices Provides managers and decision makers with information to help achieve organizational goals.
Decision support systems, group decision support systems,expert systems-manag...clincy cleetus
concept of decision making,decision making process-intelligence phase-design phase-choice phase,types of decisions,meaning and definition of decision support systems(dss),evolution of dss,characteristics of dss,decision support and repetitiveness of decisions,objectives and importance of dss,classification of dss,components of dss,functions of dss,development of dss,support for different phases of decision making,benefits and risk of dss,group decision support systems, gdss software, gdss benefits and risks,expert systems,difference between dss and es, comparison between dss and es
Organization’s success depends on quality of managers’ decisions
When decisions involve large amounts of data and complex processing, a DSS is a valuable tool
When decision making involves many uncertainties and/or lots of alternatives a DSS is needed
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management
El campo de DSS / BI esta evolucionando desde sus origenes como una herramienta primariamente de soporte personal y está rapidamente llegando a ser una comodidad compartida a traves de de las organizaciones
A Decision Support System is a computer-based information system that supports business or organizational decision-making activities.
A DSS is a collection of integrated software applications and hardware that form the backbone of an organization’s decision making process and help to make decisions, which may be rapidly changing and not easily specified in advance.
Management information system (MIS) is
Integrated collection of people, procedures, databases, and devices Provides managers and decision makers with information to help achieve organizational goals.
Decision support systems, group decision support systems,expert systems-manag...clincy cleetus
concept of decision making,decision making process-intelligence phase-design phase-choice phase,types of decisions,meaning and definition of decision support systems(dss),evolution of dss,characteristics of dss,decision support and repetitiveness of decisions,objectives and importance of dss,classification of dss,components of dss,functions of dss,development of dss,support for different phases of decision making,benefits and risk of dss,group decision support systems, gdss software, gdss benefits and risks,expert systems,difference between dss and es, comparison between dss and es
Organization’s success depends on quality of managers’ decisions
When decisions involve large amounts of data and complex processing, a DSS is a valuable tool
When decision making involves many uncertainties and/or lots of alternatives a DSS is needed
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management
El campo de DSS / BI esta evolucionando desde sus origenes como una herramienta primariamente de soporte personal y está rapidamente llegando a ser una comodidad compartida a traves de de las organizaciones
Decision Support SAs companies migrate toward responsive e-business models, they are investing in new
data-driven decision support application frameworks that help them respond rapidly to
changing market conditions and customer needs.
To succeed in business today, companies need information systems that can support
the diverse information and decision-making needs of their managers and business
professionals. In this section, we will explore in more detail how this is accomplished
by several types of management information, decision support, and other information
systems. We concentrate our attention on how the Internet, intranets, and other
Web-enabled information technologies have significantly strengthened the role that
information systems play in supporting the decision-making activities of every manager
and knowledge worker in business system.One way to understand decision making is to look at decision structure. Decisions made
at the operational management level tend to be more structured, those at the tactical level
are more semistructured, and those at the strategic management level are more unstructured. Structured decisions involve situations in which the procedures to follow, when a
decision is needed, can be specified in advance. The inventory reorder decisions that
most businesses face are a typical example. Unstructured decisions involve decision situations in which it is not possible to specify in advance most of the decision procedures to
follow. Most decisions related to long-term strategy can be thought of as unstructured
(e.g., “What product lines should we develop over the next five years?”). Most business
decision situations are semistructured; that is, some decision procedures can be prespecified but not enough to lead to a definite recommended decision. For example, decisions
involved in starting a new line of e-commerce services or making major changes to employee benefits would probably range from unstructured to semistructured. Finally, decisions that are unstructured are those for which no procedures or rules exist to guide the
decision makers toward the correct decision. In these types of decisions, many sources of
information must be accessed, and the decision often rests on experience and “gut feeling.” One example of an unstructured decision might be the answer to the question,
“What business should we be in 10 years from now?” Figure 10.4 provides a variety of
examples of business decisions by type of decision structure and level of management
James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th ed. Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
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Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
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Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
8. TURBULENT BUSINESS ENVIRONMENT Factor Description Markets Strong competition Expanding global markets Blooming e-markets on Internet Innovative marketing methods Need for real-time transactions Consumer demands Desire for customization Desire for quality, diversity & delivery Customers getting powerful & less loyal Technology More innovations, new products & services Increasing obsolescence rate Information overload Societal Government regulation, deregulation Work force diversified, older, more women Increasing social responsibility Terrorism
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12. Classification of decisions by decision type and their relation to different types of system Decision Support Systems
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14. Information Requirements of Key Decision-Making Groups in a Firm Senior managers, middle managers, operational managers, and employees have different types of decisions and information requirements. Decision Making and Information Systems Decision Support Systems
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16. Stages in Decision Making The decision-making process can be broken down into four stages. Decision Support Systems
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21. Overview of a Decision-Support System The main components of the DSS are the DSS database, the user interface, and the DSS software system. The DSS database may be a small database residing on a PC or a large data warehouse. Decision Support Systems
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23. Sensitivity Analysis This table displays the results of a sensitivity analysis of the effect of changing the sales price of a necktie and the cost per unit on the product’s break-even point. It answers the question, “What happens to the break-even point if the sales price and the cost to make each unit increase or decrease?” Decision Support Systems
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25. Sample List of Transactions for Online Management Training Inc. This list shows a portion of the order transactions for Online Management Training Inc. (OMT Inc.) on October 28, 2006. Decision Support Systems
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27. The Excel PivotTable Wizard The PivotTable Wizard in Excel makes it easy to analyze lists and databases by simply dragging and dropping elements from the Field List Decision Support Systems
28. A Pivot Table that Determines Regional Distribution of Customers By dragging and dropping fields to row and data areas of the pivot table form, you can quickly produce a table showing the relationship between region and number of customers. You will need to use the Field Settings button on the Toolbar to produce this table in order to redefine the Cust ID field as a count rather than a sum so Excel reports the number of customers, not the sum of their customer IDs, which would be meaningless. Systems for Decision Support Decision Support Systems
29. A Pivot Table that Examines Two Dimensions In this pivot table, we can examine where our customers come from in terms of two dimensions: region and advertising source. It appears nearly 40 percent of the customers respond to e-mail campaigns, and there are some regional variations in this theme. Systems for Decision Support Decision Support Systems
34. California’s South Coast Air Quality Management District (AQMD) is responsible for monitoring and controlling emissions in all of Orange County and the urban portions of Los Angeles, Riverside, and San Bernardino counties. Displayed is a map produced with ESRI GIS software tracking particulate matter emissions from building construction activity in a two-by-two kilometer area. Systems for Decision Support Decision Support Systems
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