Implementation Phase
It may be defined as putting a recommended solution to work.
The implementation of a proposed solution to a problem is, in effect, the
initiation of a new order of things, or the introduction of a change.
Definition of DSS
Model based set of procedures for processing data & judgments to assist
a manager in his decision making.
System must be simple, robust, easy to control, adaptive, complete on
important issues, and easy to communicate with.
The system is computer based and serves as an extension of the user’s
problem solving capabilities.
Characteristics & Capabilities of DSS
Components of DSS
Data management
subsystems
Includes the database, which contains relevant data for the
situation & is managed by software called Database
management system – DBMS
Model management
subsystems
A software package that includes financial, statistical
management science or other quantitative models that
provide the system’s analytical capabilities & appropriate
software management.
Knowledge
management
subsystems
This system can provide any of the other subsystem or act as
an independent component. It provides intelligence to
augment the decision maker’s own.
User interface
subsystem
The user communications with and commands the DSS
through this subsystem.
The Data Management System
The data management subsystem s composed of the following elements.
1. DSS database
a) Data organization
b) Extraction
2. Database management system
3. Data directory
4. Query facility
The Database
A database is a collection of interrelated at an organized to meet the
needs and structure of an organization and can be used by more than one
person for more than one application.
Internal data comes mainly from the organization’s transaction processing
system.
Example _ Monthly payroll
Examples of their internal data are machine maintenance scheduling,
forecasts of future sales, cost of out of stock items, and future hiring plans.
External data may include industry data, marketing research data, census
data, regional employment data, government regulations, tax rate
schedules, or national economic data.
This data might come from the Government, trade associations, marketing
research firms, econometric forecasting firms, and the organizations own
efforts in collecting external data.
Internet or from computerized online services. Private data may include
guidelines used by specific decision makers and assessments of specific
data and/or situations.
Extraction
To create a DSS, database, or a data warehouse, it is often necessary to
capture data from several sources.
This operation is called extraction.
It is basically the importing of files, summarization, filtration, and
condensation of data.
Extraction also occurs when the user produces reports from the data in
the DSS database.
The extraction process is managed by a DBMS.
Database Management System
The database is created, accessed, and updated by a DBMS.
An effective database and its management can support many managerial
activities; general navigation among records, support for creating and
maintaining a diverse set of data relationships, and report generation are
typical examples.
The Query Facility
In building and using DSS, it is often necessary to access, manipulate,
and query the data. The query facility accepts requests for data from other
DSS components, determines how this request can be filled, formulates
the detailed request, and returns the results the issuer of the request.
Important functions of DSS query system are the selection and
manipulation operations.
The Directory (Dictionary)
The Data directory is a catalog of all the data in the database.
It contains the data definitions and its main function is to answer question
about the availability of data items, their source and their exact meaning.
The directory is especially appropriate for supporting the intelligence
phase of the decision making process.
The Data Management System
The model management subsystem of the DSS is composed of the
following elements.
1. Model base
a) Strategic
b) Tactical
c) Operational
d) Model building blocks and routines
2. Model base management system
3. Modeling language
4. Model directory
5. Model execution, integration and command processor
It may be defined as putting a recommended solution to work.
The implementation of a proposed solution to a problem is, in effect, the
initiation of a new order of things, or the introduction of a change.
Definition of DSS
Model based set of procedures for processing data & judgments to assist
a manager in his decision making.
System must be simple, robust, easy to control, adaptive, complete on
important issues, and easy to communicate with.
The system is computer based and serves as an extension of the user’s
problem solving capabilities.
Characteristics & Capabilities of DSS
Components of DSS
Data management
subsystems
Includes the database, which contains relevant data for the
situation & is managed by software called Database
management system – DBMS
Model management
subsystems
A software package that includes financial, statistical
management science or other quantitative models that
provide the system’s analytical capabilities & appropriate
software management.
Knowledge
management
subsystems
This system can provide any of the other subsystem or act as
an independent component. It provides intelligence to
augment the decision maker’s own.
User interface
subsystem
The user communications with and commands the DSS
through this subsystem.
The Data Management System
The data management subsystem s composed of the following elements.
1. DSS database
a) Data organization
b) Extraction
2. Database management system
3. Data directory
4. Query facility
The Database
A database is a collection of interrelated at an organized to meet the
needs and structure of an organization and can be used by more than one
person for more than one application.
Internal data comes mainly from the organization’s transaction processing
system.
Example _ Monthly payroll
Examples of their internal data are machine maintenance scheduling,
forecasts of future sales, cost of out of stock items, and future hiring plans.
External data may include industry data, marketing research data, census
data, regional employment data, government regulations, tax rate
schedules, or national economic data.
This data might come from the Government, trade associations, marketing
research firms, econometric forecasting firms, and the organizations own
efforts in collecting external data.
Internet or from computerized online services. Private data may include
guidelines used by specific decision makers and assessments of specific
data and/or situations.
Extraction
To create a DSS, database, or a data warehouse, it is often necessary to
capture data from several sources.
This operation is called extraction.
It is basically the importing of files, summarization, filtration, and
condensation of data.
Extraction also occurs when the user produces reports from the data in
the DSS database.
The extraction process is managed by a DBMS.
Database Management System
The database is created, accessed, and updated by a DBMS.
An effective database and its management can support many managerial
activities; general navigation among records, support for creating and
maintaining a diverse set of data relationships, and report generation are
typical examples.
The Query Facility
In building and using DSS, it is often necessary to access, manipulate,
and query the data. The query facility accepts requests for data from other
DSS components, determines how this request can be filled, formulates
the detailed request, and returns the results the issuer of the request.
Important functions of DSS query system are the selection and
manipulation operations.
The Directory (Dictionary)
The Data directory is a catalog of all the data in the database.
It contains the data definitions and its main function is to answer question
about the availability of data items, their source and their exact meaning.
The directory is especially appropriate for supporting the intelligence
phase of the decision making process.
The Data Management System
The model management subsystem of the DSS is composed of the
following elements.
1. Model base
a) Strategic
b) Tactical
c) Operational
d) Model building blocks and routines
2. Model base management system
3. Modeling language
4. Model directory
5. Model execution, integration and command processor
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