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.
