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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.
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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.
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.
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
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
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
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