The document discusses decision support systems (DSS), business intelligence (BI), and an Automated Intelligent Decision Support System (AIDSS) for human resource management. It defines these concepts and outlines some of their key features. Specifically, it explains that DSS help decision-making, BI aims to support better business decisions using tools like reporting and analytics, and AIDSS is a specific DSS that uses AI to help with HR challenges like employee performance. It also provides details on the development of AIDSS, including its modules for the user interface, data input/editing, intelligent analysis, and data storage/protection.
This document provides an overview of system analysis and design. It begins by defining a system, system analysis, and system design. It describes the principal roles and functions of a systems analyst, which include understanding business problems and how technology can solve them. The document then outlines the phases of the system development life cycle, including feasibility analysis, design, development, implementation, and maintenance. It also discusses different types of systems like transaction processing systems, office automation systems, and executive support systems. Finally, it covers topics like integrating new technologies, enterprise resource planning, wireless systems, and open source software.
The three main information systems for strategic planning are decision support systems, management information systems, and executive information systems. Management information systems aim to meet the information needs of managers regarding current and past operations. Decision support systems provide tools and data to support decision making and allow flexibility. Executive information systems analyze and present customized information to executives in a friendly format using graphics and tools.
This document provides an overview of system analysis and design. It defines key terms like system, system analysis, and system design. It describes the principal functions of a systems analyst and the phases of the systems development life cycle. It also discusses various data gathering and analysis tools, as well as systems design tools that can be used. The document outlines the roles and qualities of a systems analyst and different types of systems they may work with at the operational, knowledge, and strategic levels of an organization.
The document discusses different types of information systems including transaction processing systems, office automation systems, management information systems, decision support systems, group decision support systems, expert systems, and executive support systems. It provides brief definitions and descriptions of each type of system, highlighting their key characteristics, components, and applications.
The document discusses various types of decision support systems that can help managers at different levels of an organization. It describes executive support systems that help senior managers address strategic issues through integrated business information and data visualization. It also discusses expert systems that capture human expertise in specific domains through knowledge bases and inference engines. Finally, it summarizes decision support systems as interactive tools that combine data and models to support semi-structured and unstructured decision-making.
This document discusses different types of information systems used in business. It describes Office Automation Systems, Transaction Processing Systems, Management Information Systems, Decision Support Systems, and Executive Support Systems. It provides details on the purpose and components of each system type to support different levels of management in a business.
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.
The document discusses decision support systems (DSS), business intelligence (BI), and an Automated Intelligent Decision Support System (AIDSS) for human resource management. It defines these concepts and outlines some of their key features. Specifically, it explains that DSS help decision-making, BI aims to support better business decisions using tools like reporting and analytics, and AIDSS is a specific DSS that uses AI to help with HR challenges like employee performance. It also provides details on the development of AIDSS, including its modules for the user interface, data input/editing, intelligent analysis, and data storage/protection.
This document provides an overview of system analysis and design. It begins by defining a system, system analysis, and system design. It describes the principal roles and functions of a systems analyst, which include understanding business problems and how technology can solve them. The document then outlines the phases of the system development life cycle, including feasibility analysis, design, development, implementation, and maintenance. It also discusses different types of systems like transaction processing systems, office automation systems, and executive support systems. Finally, it covers topics like integrating new technologies, enterprise resource planning, wireless systems, and open source software.
The three main information systems for strategic planning are decision support systems, management information systems, and executive information systems. Management information systems aim to meet the information needs of managers regarding current and past operations. Decision support systems provide tools and data to support decision making and allow flexibility. Executive information systems analyze and present customized information to executives in a friendly format using graphics and tools.
This document provides an overview of system analysis and design. It defines key terms like system, system analysis, and system design. It describes the principal functions of a systems analyst and the phases of the systems development life cycle. It also discusses various data gathering and analysis tools, as well as systems design tools that can be used. The document outlines the roles and qualities of a systems analyst and different types of systems they may work with at the operational, knowledge, and strategic levels of an organization.
The document discusses different types of information systems including transaction processing systems, office automation systems, management information systems, decision support systems, group decision support systems, expert systems, and executive support systems. It provides brief definitions and descriptions of each type of system, highlighting their key characteristics, components, and applications.
The document discusses various types of decision support systems that can help managers at different levels of an organization. It describes executive support systems that help senior managers address strategic issues through integrated business information and data visualization. It also discusses expert systems that capture human expertise in specific domains through knowledge bases and inference engines. Finally, it summarizes decision support systems as interactive tools that combine data and models to support semi-structured and unstructured decision-making.
This document discusses different types of information systems used in business. It describes Office Automation Systems, Transaction Processing Systems, Management Information Systems, Decision Support Systems, and Executive Support Systems. It provides details on the purpose and components of each system type to support different levels of management in a business.
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.
This presentation introduces decision support systems (DSS), including what they are, their components and uses. A DSS is a computer-based system that supports business decision-making. It includes databases, a user interface, models, and knowledge management. DSS are used in medicine, business, agriculture, and forestry. Group decision support systems (GDSS) support group decision making with tools for communication, idea generation and voting. Executive DSS specifically help senior managers with strategic problems by combining internal and external sources to monitor performance, competitors, trends and opportunities.
The document discusses the role of systems analysts and provides an overview of key concepts in systems analysis and design. It covers the types of systems analysts work with, the systems development life cycle, incorporating human-computer interaction considerations, and using computer-aided software engineering (CASE) tools to aid analysts' work.
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
The document discusses various topics related to information systems and management including:
1. It outlines different types of information systems such as transaction processing systems, management information systems, and enterprise systems.
2. It describes how information systems support business functions like operations, management, and competitive advantage.
3. It discusses challenges of managing information technology and developing information system solutions.
This document discusses decision support systems (DSS). It defines a decision as choosing among alternatives to meet objectives. A DSS is a computer application that supports decision making through analysis of internal and external business data. A good DSS supports both individuals and groups in unstructured and semi-structured situations. It is flexible, easy to use, and allows access to data and models like statistical, optimization, and forecasting models. Benefits of a DSS include improved decision making, consideration of more alternatives, faster response, better communication and teamwork, cost savings, and better control.
Decision support systems (DSS) are computer-based systems that analyze data and help decision-makers make better judgments. A DSS has three main components: a database, a model, and a user interface. DSS can classify data inputs, user expertise, outputs, and generated decisions. They are used in various fields like healthcare, business, and transportation to improve efficiency, speed up decision-making, and gain a competitive advantage. Key benefits of DSS include faster problem solving, increased organizational control, and promoting learning.
Learning Assignment on Decision Support System Bs(i.t)MorningFaizan Butt
Decision support systems (DSS) are computer-based tools that analyze data and help decision makers make more informed judgments. A DSS takes in inputs like numbers, factors and characteristics, processes the data, and outputs transformed results to help generate decisions. It can be an open system connected to other subsystems, or a closed system like one used for loan verification at a bank. DSS aim to improve efficiency, speed up decision making and problem solving, and provide a competitive advantage for organizations.
The document discusses several topics related to information systems including:
1. Eight categories of information systems and examples of each.
2. The systems development life cycle consisting of 7 phases from identifying problems to implementation and evaluation.
3. The importance of system maintenance and how CASE tools can help with maintenance.
This document provides an introduction and overview of decision support systems (DSS). It begins by defining DSS as interactive computer-based systems that help support semi-structured decision-making. It then discusses the evolution of DSS from early frameworks developed by Gorry and Scott Morton. The document outlines the key components, functions, classifications, users and development methods of DSS. It concludes by noting that DSS are now widely used around the world to help solve complex problems in business, government and other organizations.
This document defines and describes decision support systems (DSS). It states that a DSS is a computer program that analyzes business data and presents it in a way that helps users make business decisions more easily. It then provides examples of the types of information a DSS might present and discusses how DSS have evolved over time to support both individual and group decision making at various organizational levels. The document also outlines some key characteristics and components of DSS as well as ways they can improve decision making.
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
The document discusses the roles and responsibilities of a systems analyst. It provides definitions for common types of systems such as transaction processing systems, decision support systems, and expert systems. It also outlines the roles of a systems analyst, which include serving as an outside consultant, as an internal support expert, and as an agent of change within an organization. The document emphasizes that systems analysts must have strong problem solving, communication, and technical skills to understand user needs and facilitate the implementation of new information systems.
The document discusses decision support systems and business intelligence, describing how they can help organizations adapt to changing business environments by providing computerized support for managerial decision making. It covers frameworks for decision support and business intelligence, including the concepts of decision support systems, data warehouses, business analytics, and performance management. Additionally, it examines the major tools and techniques used for managerial decision support, such as communication, knowledge management, and business analytics.
SIM FOR DECISION MAKING KULIAH KE-2.pptxziaulfatwa2
Information systems can be categorized into four main types: (1) transaction processing systems, (2) management information systems, (3) intelligent support systems, and (4) office automation systems. Transaction processing systems record and store transaction data for future use and reporting. Management information systems analyze transaction data to generate summary and exception reports for managers. Intelligent support systems such as decision support systems and expert systems provide analysis and alternatives to support decision making. Office automation systems are used to enhance communication and efficiency through tools like word processing, email, and video conferencing.
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.
This document defines key business concepts like business processes, enterprise applications, and collaboration. It explains how business processes can be improved through automation and new processes enabled by information systems. Different types of information systems are described, including management information systems (MIS) and decision support systems (DSS). Collaboration is discussed as a key business process supported by technologies that improve communication, documentation, and customer service.
This document discusses different types of management information systems and decision support systems. It describes management information systems as providing managers with information to support decision making and monitor daily operations. Decision support systems are organized collections of tools used to support problem-specific decision making. Group support systems add collaboration functionality, while executive support systems are tailored specifically for senior executives. Key types of systems include management information systems, decision support systems, group support systems, and executive support systems.
Decision support systems are interactive software tools that help managers make decisions by providing access to large amounts of information from various systems. DSS uses analytical models, summaries, exceptions, patterns and trends from this data to help decision makers identify and solve problems, but does not make the decisions itself. Key components of a DSS include a database management system, model management system, and support tools. There are various ways to classify DSS, including whether they are text, database, spreadsheet, solver or rules oriented, and different types support operational, management or strategic decision making.
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
Communication plays an essential role in many spheres of life including personal, social, state, international, business, and religious affairs. It is integral to human life, allowing people to interact from morning to night, and develop important social bonds. At the state level, communication enables administration and global relationships. It also facilitates cooperation among countries through international organizations. In religion, communication is used to preach and spread doctrines. The document concludes that communication broadly impacts nearly every aspect of personal, social, and community life.
This presentation introduces decision support systems (DSS), including what they are, their components and uses. A DSS is a computer-based system that supports business decision-making. It includes databases, a user interface, models, and knowledge management. DSS are used in medicine, business, agriculture, and forestry. Group decision support systems (GDSS) support group decision making with tools for communication, idea generation and voting. Executive DSS specifically help senior managers with strategic problems by combining internal and external sources to monitor performance, competitors, trends and opportunities.
The document discusses the role of systems analysts and provides an overview of key concepts in systems analysis and design. It covers the types of systems analysts work with, the systems development life cycle, incorporating human-computer interaction considerations, and using computer-aided software engineering (CASE) tools to aid analysts' work.
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
The document discusses various topics related to information systems and management including:
1. It outlines different types of information systems such as transaction processing systems, management information systems, and enterprise systems.
2. It describes how information systems support business functions like operations, management, and competitive advantage.
3. It discusses challenges of managing information technology and developing information system solutions.
This document discusses decision support systems (DSS). It defines a decision as choosing among alternatives to meet objectives. A DSS is a computer application that supports decision making through analysis of internal and external business data. A good DSS supports both individuals and groups in unstructured and semi-structured situations. It is flexible, easy to use, and allows access to data and models like statistical, optimization, and forecasting models. Benefits of a DSS include improved decision making, consideration of more alternatives, faster response, better communication and teamwork, cost savings, and better control.
Decision support systems (DSS) are computer-based systems that analyze data and help decision-makers make better judgments. A DSS has three main components: a database, a model, and a user interface. DSS can classify data inputs, user expertise, outputs, and generated decisions. They are used in various fields like healthcare, business, and transportation to improve efficiency, speed up decision-making, and gain a competitive advantage. Key benefits of DSS include faster problem solving, increased organizational control, and promoting learning.
Learning Assignment on Decision Support System Bs(i.t)MorningFaizan Butt
Decision support systems (DSS) are computer-based tools that analyze data and help decision makers make more informed judgments. A DSS takes in inputs like numbers, factors and characteristics, processes the data, and outputs transformed results to help generate decisions. It can be an open system connected to other subsystems, or a closed system like one used for loan verification at a bank. DSS aim to improve efficiency, speed up decision making and problem solving, and provide a competitive advantage for organizations.
The document discusses several topics related to information systems including:
1. Eight categories of information systems and examples of each.
2. The systems development life cycle consisting of 7 phases from identifying problems to implementation and evaluation.
3. The importance of system maintenance and how CASE tools can help with maintenance.
This document provides an introduction and overview of decision support systems (DSS). It begins by defining DSS as interactive computer-based systems that help support semi-structured decision-making. It then discusses the evolution of DSS from early frameworks developed by Gorry and Scott Morton. The document outlines the key components, functions, classifications, users and development methods of DSS. It concludes by noting that DSS are now widely used around the world to help solve complex problems in business, government and other organizations.
This document defines and describes decision support systems (DSS). It states that a DSS is a computer program that analyzes business data and presents it in a way that helps users make business decisions more easily. It then provides examples of the types of information a DSS might present and discusses how DSS have evolved over time to support both individual and group decision making at various organizational levels. The document also outlines some key characteristics and components of DSS as well as ways they can improve decision making.
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
The document discusses the roles and responsibilities of a systems analyst. It provides definitions for common types of systems such as transaction processing systems, decision support systems, and expert systems. It also outlines the roles of a systems analyst, which include serving as an outside consultant, as an internal support expert, and as an agent of change within an organization. The document emphasizes that systems analysts must have strong problem solving, communication, and technical skills to understand user needs and facilitate the implementation of new information systems.
The document discusses decision support systems and business intelligence, describing how they can help organizations adapt to changing business environments by providing computerized support for managerial decision making. It covers frameworks for decision support and business intelligence, including the concepts of decision support systems, data warehouses, business analytics, and performance management. Additionally, it examines the major tools and techniques used for managerial decision support, such as communication, knowledge management, and business analytics.
SIM FOR DECISION MAKING KULIAH KE-2.pptxziaulfatwa2
Information systems can be categorized into four main types: (1) transaction processing systems, (2) management information systems, (3) intelligent support systems, and (4) office automation systems. Transaction processing systems record and store transaction data for future use and reporting. Management information systems analyze transaction data to generate summary and exception reports for managers. Intelligent support systems such as decision support systems and expert systems provide analysis and alternatives to support decision making. Office automation systems are used to enhance communication and efficiency through tools like word processing, email, and video conferencing.
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.
This document defines key business concepts like business processes, enterprise applications, and collaboration. It explains how business processes can be improved through automation and new processes enabled by information systems. Different types of information systems are described, including management information systems (MIS) and decision support systems (DSS). Collaboration is discussed as a key business process supported by technologies that improve communication, documentation, and customer service.
This document discusses different types of management information systems and decision support systems. It describes management information systems as providing managers with information to support decision making and monitor daily operations. Decision support systems are organized collections of tools used to support problem-specific decision making. Group support systems add collaboration functionality, while executive support systems are tailored specifically for senior executives. Key types of systems include management information systems, decision support systems, group support systems, and executive support systems.
Decision support systems are interactive software tools that help managers make decisions by providing access to large amounts of information from various systems. DSS uses analytical models, summaries, exceptions, patterns and trends from this data to help decision makers identify and solve problems, but does not make the decisions itself. Key components of a DSS include a database management system, model management system, and support tools. There are various ways to classify DSS, including whether they are text, database, spreadsheet, solver or rules oriented, and different types support operational, management or strategic decision making.
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
Similar to System Development & Decision support system (20)
Communication plays an essential role in many spheres of life including personal, social, state, international, business, and religious affairs. It is integral to human life, allowing people to interact from morning to night, and develop important social bonds. At the state level, communication enables administration and global relationships. It also facilitates cooperation among countries through international organizations. In religion, communication is used to preach and spread doctrines. The document concludes that communication broadly impacts nearly every aspect of personal, social, and community life.
This document introduces a group of people working on transaction processing and enterprise resource planning. It defines transaction processing as information processing divided into individual transactions. It discusses types of transaction processing systems including real-time and batch processing. It also covers important features of transaction processing systems, common databases used, and defines enterprise resource planning as the integrated management of core business processes. The document lists modules and components of ERP systems and highlights benefits and potential problems of implementing ERP.
Institutions for Furtherance of Business, Trade and Commerce in Bangladesh Sajal Eahsan
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This document discusses whether entrepreneurs are born or made. It presents perspectives from several individuals. Jamal Edwards believes entrepreneurs are 95% made through life experiences. Moira Vetter disagrees and provides examples of young child entrepreneurs to argue people are born with entrepreneurial abilities. However, Doug Richards rejects the idea that entrepreneurs are born, saying that view is limiting and it is possible for anyone to gain entrepreneurial skills and confidence through learning and experience. The document discusses different views on the nature versus nurture aspects of entrepreneurship without reaching a definite conclusion.
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There are four key factors that determine whether a person must file an income tax return: 1) whether they are claimed as a dependent, 2) their filing status, 3) their age, and 4) their gross income for the year. Certain types of individuals and entities must file a return, including companies, non-governmental organizations, firms, cooperative societies, associations of persons, shareholder directors/employees, partners of firms, government employees earning over a certain salary, individuals with income subject to tax exemption, and individuals meeting certain property or job criteria. Filing a return without taxable income can allow one to claim tax refunds, carry forward losses, and provide proof of income for loans or visas.
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Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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AND MY SELF
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ID162 Md. Samrat Hossain
6. Why system
development need
to be changed
Change in user or business need
Technological change
Improved business processes
Competitive advantage
Productivity gains
System integration
Systems age and need to be replaced
8. The people involved in developing and
implementing AIS
Management
Users
Information systems steering
committee
Project development team
Systems analysts and programmers
External players
10. Types of Decision Support Systems
DSS Data driven DSS
Model driven
Knowledge driven
Document driven
Communication
driven
Inter- and Intra-
organization DSS
11. Advantages of Decision support system
•Time savings
• Enhance effectiveness
• Improve interpersonal
communication
•Competitive advantage
•Cost reduction
•Increase decision maker
Satisfaction
12. • Monetary cost
• Overemphasize decision making
• Assumption of relevance
• Transfer of power
• Obscuring responsibility
• False belief in objectivity.
• Status reduction
• Information overload
Disadvantages of Decision support system
13. An expert system is a computer program that uses
artificial intelligence (AI) technologies to simulate
the judgment and behavior of a human or an
organization.
Some Components
• Hardware
• Software
• User interface
• Telecommunications
ES
14. Characteristics of Expert Systems
High performance
Understandable
Reliable
Highly responsive
15. We begin with planning. Next we present the concept of
the systems development life cycle (SDLC). Third, we
discuss other methods for systems development that
organizations SDLC, The next section examines use of
application service providers (ASPs). The chapter
closes with DSS .
Conclusion