Sean O'Sullivan: A DSS that is focused on a database might provide a list of all the staff who are available at the required times with associated lists of their skills and costs (wages etc)... Sep 29, 2009 12:42:52 PM EST
Sean O'Sullivan: And you as the manager can then use this information to develop several alternative rosters ...(Design) Sep 29, 2009 12:43:39 PM EST
Sean O'Sullivan: .. and then choose the best roster ... (Choice) ... and then put it into place (Implementation) Sep 29, 2009 12:45:39 PM EST
Sean O'Sullivan: It can be useful to think of decision support as a COLLABORATION between a human decision-maker and a DSS. Sep 29, 2009 12:49:00 PM EST
Sean O'Sullivan: It turns out that the simplest of teh four stages to do aas a DSS is teh design stage. Iterlligence is very complex, choice is untrustworthy, and implementation is often outside teh scope of automated systems. ( Iw ant the house painted pink!) Sep 29, 2009 12:54:00 PM EST
Showing posts with label DSS. Show all posts
Showing posts with label DSS. Show all posts
Wednesday, October 7, 2009
What is the relationship of the DSS and its components to a MSS?
JENNIFER MCCOWATT: I figure a DSS is a variety of MSS with special features Sep 29, 2009 1:25:22 PM EST
Sean O'Sullivan: MSS = Management support system; DSS = Decision support system; Managers do many things including making decisions. A DSS is a specialised form of MSS that focuses on helping managers make good decisions. Sep 29, 2009 1:27:11 PM EST
Sean O'Sullivan: MSS = Management support system; DSS = Decision support system; Managers do many things including making decisions. A DSS is a specialised form of MSS that focuses on helping managers make good decisions. Sep 29, 2009 1:27:11 PM EST
Sunday, October 4, 2009
Saturday, October 3, 2009
Differenc between DSS and BI page 90
DSS generaly built to solve a specific problem and contains its on databases.
BI apps focus on reporting and identify problems by scanning data extracted from the DW (Date Warehouse)
BI apps focus on reporting and identify problems by scanning data extracted from the DW (Date Warehouse)
Wednesday, September 23, 2009
The components of DSS Mathematical problems page 151
All models are made up of four basic components. Mathematical relationships links these components together.
Result (outcome) variables
Decision variable (pg 58, 152)
uncontrollable variables (or parameters)
Result (outcome) variables
- Reflect the level of effectiveness of a system, ho well the system attains its goals. These variables are outputs.
- Considered dependant
Decision variable (pg 58, 152)
- Describes alternative courses of action. The decision mkaer controls the decision variables.
uncontrollable variables (or parameters)
- Factors that affect result varibales but are not under the control of the decision maker.
- Some of these variables limit the decion maker and therefore form what are called constraints of the problem.
- Reflect intermediate outcomes in mathematical models. eg. determining machine maintenance scheduling, spoilage, total profit, employee satisfaction
A DSS can include multiple models
sometimes dozens, each of which represents a different part of the decision making problem.
Each model may either be native to the DSS or integrated, interfaced
Each model may either be native to the DSS or integrated, interfaced
Friday, September 18, 2009
Strategic (DSS) Data and Operational Data
Three Main Areas in Which Strategic (DSS) Data Differ from Operational Data
- Time span
- Granularity
- Dimensionality
Decision Support Systems - Main Components :: page 92
Components of a DSS are:
an arrangement of computerized tools used to assist managerial decision making
- Data management
- Model management
- User Interface management
- Knowledge-based management
an arrangement of computerized tools used to assist managerial decision making
- requires extensive data “massaging” to produce information.
- used at all levels within an organization
- interactive and provides ad hoc query tools
- External data
- operational data
- business data
- data store
- data extracting and filtering
- end user query tool
- business model data
- end user presentation tool
- operational data are stored in a relational database
- data storage is optimized
- operational data capture daily business transactions
- Strategic data give tactical and strategic business meaning to the operational data
OLAP - Online analytical processing
Activities performed by end users in online systems
Special class of tools
- Specific, open-ended query generation
- SQL
- Ad hoc reports
- Statistical analysis
- Building DSS applications
Special class of tools
- DSS/BI/BA front ends
- Data access front ends
- Database front ends
- Visual information access systems
Thursday, September 17, 2009
Model-based management systems
Provide MSS and DSS based upon models of the organisation and its components.
Makes use of software that allows model description and organization with transparent data processing.
Capabilities
Object-oriented model base management system
Database and MIS design model systems
Makes use of software that allows model description and organization with transparent data processing.
Capabilities
- MSS / DSS user has control
- Flexible in design
- Gives feedback
- GUI based
- Reduction of redundancy
- Increase in consistency
- Communication between combined models
- Virtual file
- Virtual relationship
Object-oriented model base management system
- Logical independence
Database and MIS design model systems
- Data diagram, ERD diagrams managed by CASE tools
Modeling and Analysis
Allows for the rapid exploration of several (many) alternative solutions
Each ‘trial’ (run / execution / analysis) of a model explores a particular set of circumstances and generates a likely outcome.
Trials of a model can be repeated (usually with the same outcomes).
A fundamental aspect of DSS methodology
Many classes of models
Some DSSs may incorporate several (multiple) models (hybrid)
Trials of a model can be repeated (usually with the same outcomes)
Each ‘trial’ (run / execution / analysis) of a model explores a particular set of circumstances and generates a likely outcome.
Trials of a model can be repeated (usually with the same outcomes).
A fundamental aspect of DSS methodology
Many classes of models
- specialised techniques for each type
Some DSSs may incorporate several (multiple) models (hybrid)
Trials of a model can be repeated (usually with the same outcomes)
Why is DSS hard to define? Umbrella term page 21
It is a context free expression that means different things to different people depending on the type of DSS they use.
The term DSS can be used as an umrella term to describe any computerised system that supports decision making in an organisation.
An organisation may have knowledge management systems.......etc
The term DSS can be used as an umrella term to describe any computerised system that supports decision making in an organisation.
An organisation may have knowledge management systems.......etc
Hybrid Systems
The combination of 2 or more system types.
With customising, a system may be used either as an EIS or an MIS, for example.
Many different types of DSS combined into a Hybrid System
With customising, a system may be used either as an EIS or an MIS, for example.
Many different types of DSS combined into a Hybrid System
How did DSS originate?
- Originally purely ‘number-crunching’
- Followed by simple spreadsheet and database applications (Visicalc and dBase 2)
- Leading to complex spreadsheet and database applications
- After which came interaction with end-users
- And, currently being incorporated, fuzzy logic, artificial intelligence, etc.
Decision Support Systems (DSS)
- A sub-set of MSS
- For individuals or groups (GDSS)
- Designed to anticipate the questions and needs of the user
- May be specific or general and customisable
- May be used for:
- Forecasting
- Producing alternative solutions
- Grading those alternatives
Management Support Systems
Management Support System = MSS.
MSS = The application of technologies to support the performance of management tasks in general.
Sometimes applied more narrowly to Decision Support Systems (DSS) or Business Intelligence (BI).
Caution – MSS, DSS & BI are all sometimes used as context-free umbrella terms**.
Decision Support Systems and Business Intelligence can be considered as subsets of MSS.
MSS = The application of technologies to support the performance of management tasks in general.
Sometimes applied more narrowly to Decision Support Systems (DSS) or Business Intelligence (BI).
Caution – MSS, DSS & BI are all sometimes used as context-free umbrella terms**.
Decision Support Systems and Business Intelligence can be considered as subsets of MSS.
Decision Support Systems [DSS] Defined
“A decision support system is a computer based system that is used personally on an ongoing basis by managers and their immediate staff in direct support of managerial activities”
“The term Decision Support System (DSS) has been widely used to refer to systems that are computer-based aids for decision making. Over the years, the term has come to refer to systems that can lend support to decision makers involved in solving problems of some complexity”
“Business Intelligence (BI) Systems are Information Systems that assist managers with unstructured decisions by retrieving and analyzing data in order to identify, generate and interpret useful information. A BI system possesses interactive capabilities, aids in answering ad hoc queries, and provides data and modelling facilities, generally through the use of Online Analytical Processing (OLAP) tools, to support nonrecurring, relatively unstructured decision making.”
“The term Decision Support System (DSS) has been widely used to refer to systems that are computer-based aids for decision making. Over the years, the term has come to refer to systems that can lend support to decision makers involved in solving problems of some complexity”
“Business Intelligence (BI) Systems are Information Systems that assist managers with unstructured decisions by retrieving and analyzing data in order to identify, generate and interpret useful information. A BI system possesses interactive capabilities, aids in answering ad hoc queries, and provides data and modelling facilities, generally through the use of Online Analytical Processing (OLAP) tools, to support nonrecurring, relatively unstructured decision making.”
Tuesday, September 15, 2009
Benefits of / reasons for computerised Decision Support
unstable rapidly changing economy
increased competition
changing the way business is done
existing systems do not supoport computerised decision making
IS department too busy to address all of managements inquiries
need for special analysis of profitability and efficiency
accurate information is needed
new information is needed
higher decision quality required
improved customer employee satisfaction
timely information needed
reduced costs
improved productivity
increased competition
changing the way business is done
existing systems do not supoport computerised decision making
IS department too busy to address all of managements inquiries
need for special analysis of profitability and efficiency
accurate information is needed
new information is needed
higher decision quality required
improved customer employee satisfaction
timely information needed
reduced costs
improved productivity
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