Decision Support
Systems
Objectives
• What is Decision Support System (DSS)?
• Decision Structure
• Decision Support System Characteristics
• Components of DSS
• Classification of DSS
• Benefits of DSS
An interactive, flexible
computerized information
system that enables
managers to obtain and
manipulate information
as they are making
decisions.
What is Decision Support System?
• DSS is an interactive software-based system
intended to help decision makers compile
useful information from raw data, documents,
personal knowledge, and/or business models
to identify and solve problems and make
decisions.
What is Decision Support System?
Information required at different
management levels
Levels of Management in Decision
Making
Strategic management
Executives develop organizational goals,
strategies, policies, and objectives
As part of a strategic planning process
Tactical management
Managers and business professionals in self-
directed teams
Develop short- and medium-range plans,
schedules and budgets
Specify the policies, procedures and business
objectives for their subunits
Levels of Management in
Decision Making
• Operational management
– Managers or members of self-directed teams
– Develop short-range plans such as weekly
production schedules
Decision Structure
• Structured Decisions – situations where the
procedures to follow when a decision is
needed can be specified in advance
• Unstructured Decisions – decision situations
where it is not possible to specify in advance
most of the decision procedures to follow
• Semi structured Decisions - decision
procedures that can be prespecified, but not
enough to lead to a definite recommended
decision
DSS System Characteristics
CharacteristicsCharacteristics
of aof a
DSS SystemDSS System
CharacteristicsCharacteristics
of aof a
DSS SystemDSS System
InteractiveInteractiveInteractiveInteractive
FlexibleFlexibleFlexibleFlexible
Discovery-OrientedDiscovery-OrientedDiscovery-OrientedDiscovery-Oriented
AccessibleAccessibleAccessibleAccessible
COMPONENTS OF DSS
TPS
EXTERNAL
DATA
DSS DATA
BASE
DSS SOFTWARE SYSTEM
MODELS
OLAP TOOLS
DATAMINING TOOLS
USER
INTERFACE
USER
Classification of DSS
• Model-driven DSS
• Communication-driven DSS
• Data-driven DSS
• Document-driven DSS
• Knowledge-driven DSS
Model-driven DSS
• A model-driven DSS emphasizes access to
and manipulation of a statistical, financial,
optimization, or simulation model.
• Model-driven DSS use data and parameters
provided by users to assist decision makers
in analyzing a situation; they are not
necessarily data-intensive.
Communication-driven DSS
• A communication-driven DSS
supports more than one person
working on a shared task
Data-driven DSS
• A data-driven DSS or data-oriented DSS
emphasizes access to and manipulation of
a time series of internal company data
and, sometimes, external data
Document-driven DSS
• A document-driven DSS manages,
retrieves, and manipulates unstructured
information in a variety of electronic
formats.
Knowledge-driven DSS
• A knowledge-driven DSS provides
specialized problem-solving expertise
stored as facts, rules, procedures, or in
similar structures
Benefits of DSS
Improves personal efficiency
Accelerate problem solving
Facilitates interpersonal communication
Promotes learning or training
Increases organizational control
Generates new evidence in support of a decision
Creates a competitive advantage over competition
Reveals new approaches to thinking about the problem space

Decision support system

  • 1.
  • 2.
    Objectives • What isDecision Support System (DSS)? • Decision Structure • Decision Support System Characteristics • Components of DSS • Classification of DSS • Benefits of DSS
  • 3.
    An interactive, flexible computerizedinformation system that enables managers to obtain and manipulate information as they are making decisions. What is Decision Support System?
  • 4.
    • DSS isan interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. What is Decision Support System?
  • 5.
    Information required atdifferent management levels
  • 6.
    Levels of Managementin Decision Making Strategic management Executives develop organizational goals, strategies, policies, and objectives As part of a strategic planning process Tactical management Managers and business professionals in self- directed teams Develop short- and medium-range plans, schedules and budgets Specify the policies, procedures and business objectives for their subunits
  • 7.
    Levels of Managementin Decision Making • Operational management – Managers or members of self-directed teams – Develop short-range plans such as weekly production schedules
  • 8.
    Decision Structure • StructuredDecisions – situations where the procedures to follow when a decision is needed can be specified in advance • Unstructured Decisions – decision situations where it is not possible to specify in advance most of the decision procedures to follow • Semi structured Decisions - decision procedures that can be prespecified, but not enough to lead to a definite recommended decision
  • 9.
    DSS System Characteristics CharacteristicsCharacteristics ofaof a DSS SystemDSS System CharacteristicsCharacteristics of aof a DSS SystemDSS System InteractiveInteractiveInteractiveInteractive FlexibleFlexibleFlexibleFlexible Discovery-OrientedDiscovery-OrientedDiscovery-OrientedDiscovery-Oriented AccessibleAccessibleAccessibleAccessible
  • 10.
    COMPONENTS OF DSS TPS EXTERNAL DATA DSSDATA BASE DSS SOFTWARE SYSTEM MODELS OLAP TOOLS DATAMINING TOOLS USER INTERFACE USER
  • 11.
    Classification of DSS •Model-driven DSS • Communication-driven DSS • Data-driven DSS • Document-driven DSS • Knowledge-driven DSS
  • 12.
    Model-driven DSS • Amodel-driven DSS emphasizes access to and manipulation of a statistical, financial, optimization, or simulation model. • Model-driven DSS use data and parameters provided by users to assist decision makers in analyzing a situation; they are not necessarily data-intensive.
  • 13.
    Communication-driven DSS • Acommunication-driven DSS supports more than one person working on a shared task
  • 14.
    Data-driven DSS • Adata-driven DSS or data-oriented DSS emphasizes access to and manipulation of a time series of internal company data and, sometimes, external data
  • 15.
    Document-driven DSS • Adocument-driven DSS manages, retrieves, and manipulates unstructured information in a variety of electronic formats.
  • 16.
    Knowledge-driven DSS • Aknowledge-driven DSS provides specialized problem-solving expertise stored as facts, rules, procedures, or in similar structures
  • 17.
    Benefits of DSS Improvespersonal efficiency Accelerate problem solving Facilitates interpersonal communication Promotes learning or training Increases organizational control Generates new evidence in support of a decision Creates a competitive advantage over competition Reveals new approaches to thinking about the problem space