Decision support system (DSS) is an
information system that supports business or organizational decision-making
activities. DSSs serve the management, operations and planning levels of an
organization (usually mid and higher management) and help people make decisions
about problems that may be rapidly changing and not easily specified in
advance—i.e. unstructured and semi-structured decision problems. Decision
support systems can be either fully computerized or human-powered, or a
combination of both.
DSS include knowledge-based systems. A properly designed
DSS is an interactive software-based system intended to help decision makers
compile useful information from a combination of raw data, documents, and
personal knowledge, or business models to identify and solve problems and make
decisions.
Typical information that a decision support application might gather and
present includes
·
inventories of information assets (including legacy and
relational data sources, cubes, data warehouses,
and data marts),
·
comparative sales figures between one period and the next,
·
projected revenue figures based on product sales assumptions
Decision
support systems are interactive, computer-based systems that aid users in
judgment and choice activities. They provide data storage and retrieval but
enhance the traditional information access and retrieval functions with support
for model building and model-based reasoning. They support framing, modeling,
and problem solving. Typical application areas of DSS are management and
planning in business, health care, the military, and any area in which
management will encounter complex decision situations. Decision support systems
are typically used for strategic and tactical decisions faced by upper-level
management decisions with a reasonably low frequency and high potential
consequences in which the time taken for thinking through and modeling the
problem pays off generously in the long run.
DSS is an application that produces comprehensive information. This is different
from an operations application, which is used to collect data. A DSS is
primarily used by mid- to upper-level management and is key for understanding
large amounts of data. For example, a DSS may be used to project a company's
revenue over the upcoming six months based on new assumptions about product
sales. Due to a large number of variables that surround projected revenue
figures, this is not a straightforward calculation that can be done manually. A
DSS can integrate multiple variables and generate an outcome and alternate
outcomes, all based on the company's past product sales data and current
variables.
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Muhammad Yusuf Firdaus 106218091
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