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-A system fordecision making
and problemsolving.
What is DSS?
⚫A DSS is a computer-based information system that
supports businessororganizational decision-making
activities.
⚫A DSS is a collection of integrated software
applications and hardware that form the backbone of
an organization’s decision making processand help to
make decisions, which may be rapidly changing and
noteasily specified in advance.
TYPES OF DSS
1. MODEL- DRIVEN DSS
 includes system that use accounting, financial models, and
representational models.
2. DATA DRIVEN DSS
 file drawer & management reporting system, data
warehousing, geographical information.
TYPES OF DSS
3. KNOWLEDGE DRIVEN DSS
 are computer systems with specialized problem solving expertise.
4. DOCUMENT DRIVEN DSS
 is evolving to help manager retrieves & manage unstructured document.
TYPES OF DSS
5. COMMUNICATION DRIVEN GROUP
DSS
 includes communication, collaboration and
DSS technologies that do not fit within those
DSS type hybrid.
6. INTRA ORGANIZATIONAL DRIVEN
DSS
 are design for use by individuals to a
company as standalone DSS or use group of
TYPES OF DSS
7. INTER ORGANIZATION DRIVEN DSS
 provide stakeholders with access to a company’s
intranet and authority or privileges to use specific DSS
capabilities.
8. FUNCTIONS OR SPECIFIC ON GENERAL PURPOSE
 help a person to accomplish specific decision task.
 help support broad task like project management,
decision analysis and business planning.
TYPES OF DSS
9. WEB BASED DSS
 is a computerized system that delivers decision
support information or decision support tools to a
manager or business analyst using their client web
browser like internet explorer and mozilla firefox.
DSS Characteristics :
⚫Facilitation : DSS facilitate and support specific decision-
making activitiesand/ordecision processes.
⚫Interaction : DSS are computer-based systems designed for
interactive use by decision makers or staff users who control
the sequenceof interaction and theoperations performed.
⚫Ancillary : DSS can support decision makers at any level in
an organization. They are NOT intended to replace decision
makers.
⚫Repeated Use : DSS are intended for repeated use. A
specific DSS may be used routinelyor used as needed forad
hocdecision supporttasks.
⚫Identifiable : DSS may be independentsystems thatcollect
or replicate data from other information systems OR
subsystemsof a larger, more integrated information system.
DSS Characteristics (cont.):
⚫Task-oriented : DSS providespecific capabilities that support
one or more tasks related to decision-making, including:
intelligence and data analysis; identification and design of
alternatives; choice among alternatives; and decision
implementation.
⚫Decision Impact : DSS are intended to improve the accuracy,
timeliness, qualityand overall effectiveness of a specific decision
ora set of related decisions.
⚫Supports individual and groupdecision making : It provides a
single platform that allows all users to access the same
information and access the same version of truth, while providing
autonomy to individual users and development groups to design
reporting content locally.
⚫Comprehensive Data Access : Itallows users toaccess data from
different sources concurrently, leaving organizations the freedom
tochoose thedatawarehouse that best suits theirunique
requirementsand preferences.
DSS Characteristics (cont.):
⚫Easy to Developand Deploy : DSS deliversan interactive,
scalable platform for rapidly developing and deploying
projects. Multiple projects can be created within a single
shared metadata. Within each project, development teams
createa widevarietyof re-usable metadataobjects.
⚫Integrated software : DSS’s integrated platform enables
administratorsand IT professionals todevelopdata models,
perform sophisticated analysis, generate analytical reports,
and deliverthesereports toend usersviadifferent channels
(Web, email, file, printand mobiledevices).
⚫Flexibility : DSS featuresare flexible and can bealtered
according to need providing a helping hand in the work
process.
DSS Objectives :
1. Increase theeffectivenessof the manager's decision-
making process.
2. Supports the manager in thedecision-making process
butdoes not replace it.
3. Improve thedirectors effectivenessof decision
making.
DSS Components :
DSS components may beclassified as:
⚫Inputs : Factors, numbers, and characteristics to
analyze.
⚫User Knowledgeand Expertise : Inputs requiring
manual analysis by the user.
⚫Outputs : Transformed data from which DSS
"decisions" aregenerated.
⚫Decisions : Resultsgenerated by the DSS based on
usercriteria.
DSS Requirements :
⚫Data collection from multiple sources (sales data,
inventorydata, supplierdata, market research data.
etc.).
⚫Data formatting and collation.
⚫A suitabledatabase locationand format built for
decision support -based reporting and analysis .
⚫Robust toolsand applications toreport, monitor, and
analyze thedata.
DSS Advantages :
1. Timesavings
2. Enhance effectiveness
3. Improve interpersonal communication
4. Competitiveadvantage
5. Costreduction
6. Increasedecision makersatisfaction
7. Promote learning
8. Improves personal efficiency
DSS Disadvantages :
1. Monetarycost.
2. Overemphasizedecision making.
3. Assumptionof relevance.
4. Transferof power.
5. Unanticipated effects.
6. Obscuring responsibility.
7. False belief in objectivity.
8. Statusreduction.
9. Informationoverload.
DSS Applications :
⚫Medical diagnosis.
⚫Businessand Management.
⚫Agricultural production.
⚫Forest management.
Presented By :-
SAYANTAN SUR
BCA(H) – 2ND SEM
THANK YOU

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DSS.pptx

  • 1. -A system fordecision making and problemsolving.
  • 2. What is DSS? ⚫A DSS is a computer-based information system that supports businessororganizational decision-making activities. ⚫A DSS is a collection of integrated software applications and hardware that form the backbone of an organization’s decision making processand help to make decisions, which may be rapidly changing and noteasily specified in advance.
  • 3. TYPES OF DSS 1. MODEL- DRIVEN DSS  includes system that use accounting, financial models, and representational models. 2. DATA DRIVEN DSS  file drawer & management reporting system, data warehousing, geographical information.
  • 4. TYPES OF DSS 3. KNOWLEDGE DRIVEN DSS  are computer systems with specialized problem solving expertise. 4. DOCUMENT DRIVEN DSS  is evolving to help manager retrieves & manage unstructured document.
  • 5. TYPES OF DSS 5. COMMUNICATION DRIVEN GROUP DSS  includes communication, collaboration and DSS technologies that do not fit within those DSS type hybrid. 6. INTRA ORGANIZATIONAL DRIVEN DSS  are design for use by individuals to a company as standalone DSS or use group of
  • 6. TYPES OF DSS 7. INTER ORGANIZATION DRIVEN DSS  provide stakeholders with access to a company’s intranet and authority or privileges to use specific DSS capabilities. 8. FUNCTIONS OR SPECIFIC ON GENERAL PURPOSE  help a person to accomplish specific decision task.  help support broad task like project management, decision analysis and business planning.
  • 7. TYPES OF DSS 9. WEB BASED DSS  is a computerized system that delivers decision support information or decision support tools to a manager or business analyst using their client web browser like internet explorer and mozilla firefox.
  • 8. DSS Characteristics : ⚫Facilitation : DSS facilitate and support specific decision- making activitiesand/ordecision processes. ⚫Interaction : DSS are computer-based systems designed for interactive use by decision makers or staff users who control the sequenceof interaction and theoperations performed. ⚫Ancillary : DSS can support decision makers at any level in an organization. They are NOT intended to replace decision makers. ⚫Repeated Use : DSS are intended for repeated use. A specific DSS may be used routinelyor used as needed forad hocdecision supporttasks. ⚫Identifiable : DSS may be independentsystems thatcollect or replicate data from other information systems OR subsystemsof a larger, more integrated information system.
  • 9. DSS Characteristics (cont.): ⚫Task-oriented : DSS providespecific capabilities that support one or more tasks related to decision-making, including: intelligence and data analysis; identification and design of alternatives; choice among alternatives; and decision implementation. ⚫Decision Impact : DSS are intended to improve the accuracy, timeliness, qualityand overall effectiveness of a specific decision ora set of related decisions. ⚫Supports individual and groupdecision making : It provides a single platform that allows all users to access the same information and access the same version of truth, while providing autonomy to individual users and development groups to design reporting content locally. ⚫Comprehensive Data Access : Itallows users toaccess data from different sources concurrently, leaving organizations the freedom tochoose thedatawarehouse that best suits theirunique requirementsand preferences.
  • 10. DSS Characteristics (cont.): ⚫Easy to Developand Deploy : DSS deliversan interactive, scalable platform for rapidly developing and deploying projects. Multiple projects can be created within a single shared metadata. Within each project, development teams createa widevarietyof re-usable metadataobjects. ⚫Integrated software : DSS’s integrated platform enables administratorsand IT professionals todevelopdata models, perform sophisticated analysis, generate analytical reports, and deliverthesereports toend usersviadifferent channels (Web, email, file, printand mobiledevices). ⚫Flexibility : DSS featuresare flexible and can bealtered according to need providing a helping hand in the work process.
  • 11. DSS Objectives : 1. Increase theeffectivenessof the manager's decision- making process. 2. Supports the manager in thedecision-making process butdoes not replace it. 3. Improve thedirectors effectivenessof decision making.
  • 12. DSS Components : DSS components may beclassified as: ⚫Inputs : Factors, numbers, and characteristics to analyze. ⚫User Knowledgeand Expertise : Inputs requiring manual analysis by the user. ⚫Outputs : Transformed data from which DSS "decisions" aregenerated. ⚫Decisions : Resultsgenerated by the DSS based on usercriteria.
  • 13. DSS Requirements : ⚫Data collection from multiple sources (sales data, inventorydata, supplierdata, market research data. etc.). ⚫Data formatting and collation. ⚫A suitabledatabase locationand format built for decision support -based reporting and analysis . ⚫Robust toolsand applications toreport, monitor, and analyze thedata.
  • 14. DSS Advantages : 1. Timesavings 2. Enhance effectiveness 3. Improve interpersonal communication 4. Competitiveadvantage 5. Costreduction 6. Increasedecision makersatisfaction 7. Promote learning 8. Improves personal efficiency
  • 15. DSS Disadvantages : 1. Monetarycost. 2. Overemphasizedecision making. 3. Assumptionof relevance. 4. Transferof power. 5. Unanticipated effects. 6. Obscuring responsibility. 7. False belief in objectivity. 8. Statusreduction. 9. Informationoverload.
  • 16. DSS Applications : ⚫Medical diagnosis. ⚫Businessand Management. ⚫Agricultural production. ⚫Forest management.
  • 17. Presented By :- SAYANTAN SUR BCA(H) – 2ND SEM THANK YOU