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Wednesday, June 1, 2016

DIFFERENCE BETWEEN DSS, EIS AND MIS

With the exposure to all or any the on top of data systems, allow us to decide the variations between DSS and MIS. Table-1 enlists some basic variations between call network,Management systems and govt data System. because the name implies, the later 2 area unit the systems that offer data which will or might not be used for creating a call whereas the support data provided for selecting the policy, designing or implementation is that the basic element of DSS.
Let us decide the characteristics of the 3 systems :
DSS:
– DSS typically offer support for unstructured, or semi-structured choices (decisions that can't be delineated  in detail).
– DSS issues area unit usually characterised by incomplete or unsure information, or the utilization of qualitative knowledge.
– DSS can usually embrace modelling tools in them, wherever numerous various eventualities are often sculpturesque and compared.
– Investment choices area unit associate samples of people who can be supported by DSS
MIS:
MIS is mostly additional subtle coverage systems engineered on existing dealing process systems
Often wont to support structured higher cognitive process (decisions that may be delineated  thoroughly before the choice is made)
Typically also will support military science level management, however generally area unit used at alternative levels
Examples of structured choices supported by MIS may embrace selecting stock levels or the evaluation of product

Dimension
DSS
MIS
EIS
Focus
Analysis, decision Support
Information processing
Status Access
Typical UsersServed
Analysts, professions,managers (via intermediaries)
Middle, lower levels, sometime senior executives
Senior Executives Expediency
Impetus
Effectiveness
Efficiency
Application
Diversified Areas where Managerial Decisions are made
Production control, sales forecasts, financial analysis,human resource management
Environmental scanning, performanceevaluation, identifying problems and
opportunities
Database(s)
Special
Corporate
Special
Decision Support Capabilities
Supports semi-structured andunstructured decision making; mainly ad-hoc, but sometimes
repetitive decisions
Direct or indirect support, mainlystructured routine problems, using standard operations,
research and other models
Indirect support, mainly high level and unstructured decisions and policies
Type of Information
Information to support specific situations
Scheduled and demand reports; structured flow, exception reporting mainly internal operations
News items, external information on customers, competitors and the environment
Principal Use
Planning, Organizing, staffing and control
Control
Tracking and control
Adaptability to Individual User
Permits individual judgment, what-if capabilities, some choice of dialogue style
Usually none, standardized
Tailored to the decision making style of each individual executive, offers
several options of outputs
Graphics
Integrated part of many DSS
Desirable
A must
User Friendliness
A must where no inter mediaries are used
Desirable
A must
Treatment of Information
Information provided by the EIS/or MIS is used as an input
to the DSS
Information is provided to adiversified group of users who then manipulate it or summarize
it as needed
Filters and compresses the information, tracks critical data and
information
Supporting Detailed Information
Can be programmed into DSS
Inflexibility of reports, cannot get the supporting details quickly
Instant access to the supporting details of any summary
Model Base
The Core of the DSS
Standard Models are available but are not managed
Can be added, usually not included or limited in nature
Construction
By users, either alone or with specialists from IS or IC departments
By vendors or IS specialists
By Vendors or IS Specialists
Hardware
Mainframes, micros or distributed
Mainframes, Micros or distributed
Distributed system
Nature of Computing
Packages
Large computational capabilities, modelling
languages and simulation,
applications and DSS
generators
Application oriented, performance reports,
strong reporting capabilities, standard statistical, financial, accounting and management science models
Interactive, easy to access multiple databases, on-line access, sophisticated DBMS capabilities and complex linkages

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