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Decision Support System
A type of information system that helps executives make better decisions using historical and current data derived from internal information systems, as well as external sources
Decision Support System
These systems can be comprised of smaller computer-based systems and subsystems that are intended to help decision-makers important tasks, such as usage of communication technologies, collation and organization of data and docukents, and the processing of data using tools and models
Dominant Technological Component
Five (5) generic categories can be proposed
Target Users
Can target internal or external stakeholders
System Goals and Applications
Can have specific or very generalized objectives. This is usually based on specific application the system will be dealing with
Deployment Technology
Can be deployed on either a mainframe computer, a client/server LAN network, a web-based system architecture
User Interface
Most commonly seen component, it contains the various way for a user to interact with the system. It may contain menus, submenus, buttons and icons that will allow the system user to access the various resources available to the system
Database
This component holds all digitized data and information essential for the system’s tasks. It can have specialized components apart from their usual purpose of holding data
Models and Analytical Tools
These are the technical components that will allow the system to accomplish its scope and tasks; each system may use different components depending on their purpose
Architecture and Network
These refer to how the system hardware is organized, how software and data is distributed, and how other components of the system are integrated and connected. Organizations can opt for a networked or a web-based architecture, depending on the system applications
Hybrid Type
It can be considered this type by having more than one framework factor
Data-Driven DSS
This type of DSS can take a very large amount of data available from other information systems and derive useful information for decision-making. This system doesn’t follow a specific theory or model, but can “free-flow” the data whenever needed.
Model-Driven DSS
This type of DSS emphasizes access to and manipulation of a data model in order to help decision-making for possible and probable situations.
Knowledge-Driven DSS
This type of DSS focuses on knowledge as its primary framework factor. It can suggest or recommend actions to managers by providing expert knowledge on a particular domain as well as solving any problems inherent in that domain. Data mining can be correlated to this system.
Document-Driven DSS
This type of DSS, also known as the Knowledge Management System, is a currently evolving system capable of helping managers work on unstructured digital documents and web pages. The system integrates a variety of storage and processing technologies to provide retrieval and analysis of documents and other types of media, such as web pages, images, audio, and video.
Communication-Driven DSS
This type of DSS, previously known as the Group Decision Support System or Groupware, includes communication, collaboration, and decision support technologies that do not fit with other DSS types
Inter-Organizational/Intra-Organizational DSS
These types of DSS put external and internal as its primary key factor. It is made possible by emerging technologies and the rapid growth and popularity of the internet as a business tool
Function-Specific/General Purpose DSS
These types of DSS are designed to support more specific functions for specific types pf industries or businesses. The purpose of this type of system is mostly to solve problems involving broad, routing or recurring decision tasks.