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Efficient Decision Support Systems: Key Concepts and Capabilities

Dive into the world of Decision Support Systems (DSS) - a powerful approach for enhancing decision-making in the private sector. Discover the three major components, key characteristics, and capabilities of DSS applications, designed to support individuals and teams in making smarter decisions faster. Uncover the underlying definitions and details of DSS versus EDP concepts to enhance your understanding and utilization of this essential tool.

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Efficient Decision Support Systems: Key Concepts and Capabilities

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  1. DSS Configurations • It supports individual members and an entire team. • It is used repeatedly and constantly. • It has three major components: data, models, and a user • interface. • It uses subjective, personal, and objective data. • It is used in the private sector. • It helps the user to make faster, smarter, better decisions.

  2. DSS Versus EDP

  3. Concepts Underlying DSS Definitions

  4. What is a DSS Application • A DSS is an approach (or methodology) for supporting decision- • making. It uses an interactive, flexible, adaptable CBIS especially • developed for supporting the solution to a specific nonstructured • management problem. It uses data, provides an easy user interface, and • can incorporate the decision-maker’s own insights. • In addition, a DSS usually uses models and is built (often by end-users) • by an interactive and iterative process. It supports all phases of • decision-making and may include a knowledge component. • Finally, a DSS can be used by a single user on a PC or can be Web- • based for use by many people at several locations.

  5. Key Characteristics and Capabilities of DSS 1 14 2 Semistructured and unstructured problems Standalone, integration and Web-based Support managers at all levels 13 Data access 3 Support individuals and groups 12 Modeling and analysis 4 Interdependent or sequential decisions 11 DSS Ease of development by end users 5 Support intelligence, design, choice, implementation 10 Humans control the machine 6 Support variety of decision processes and styles 9 Effectiveness, not efficiency 8 7 Interactive ease of use Adaptable and flexible

  6. A Schematic View of DSS Other computer-based systems Internet, intranets, extranets Data: external and internal Data management Model management External models Knowledge-based subsystems User interface Manager (user) Organizational KB

  7. The Structure of the Model Management Subsystem Models (Model Base) • Strategic, tactical, operational • Statical, financial, marketing, • management science, • accounting, engineering, etc. • Model building blocks Model Directory Model Base Management • Modeling commands: creation • Maintenance: update • Database interface • Modeling language Model execution, integration, and command processor Data management Interface management Knowledge-based subsystem

  8. Schematic View of the User Interface System Data Management and DBMS Knowledge-based subsystem Model Management and MBMS User Interface Management System (UIMS) Natural Language Processor Input Output PC Display Action Display Languages Languages Printers, Plotters Users

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