management support systems
DESCRIPTION
Management Support Systems. Infsy 390 Dr. Ocker. Management Support Systems. MSS enables senior management to: 1.access common, shared sources of 2.internal and external information 3.that have been summarized in 4.easy-to-access, graphical displays. Management Support Systems. - PowerPoint PPT PresentationTRANSCRIPT
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Management Support Systems
Infsy 390Dr. Ocker
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Management Support Systems
MSS enables senior management to: 1. access common, shared sources
of 2. internal and external information 3. that have been summarized in 4. easy-to-access, graphical displays.
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Management Support Systems
function as an integrated approach to sharing information in an easy-to-use, highly visual, and personalized way
system helps promote a shared view of business activities due to integration of tools and distributed data/information
managers can get up-to-date information on industry news, competitor/market trends and internal operations
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most successful MSS are developed as 1. one aspect of a distributed,
enterprise information system 2. that enables flexible and integrated
information sharing and communication 3. both inside orgs. and with external
suppliers, customers and other business partners.
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1980s to 1990s
1980s - managers had support tools designed to run on PCs (e.g. spreadsheets, statistical packages, graphics packages, word processing, project management, etc.)
1990s - MSS provide integrated environment for these support tools
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MSS
MSS usually designed so that individual manager can customize the system as needed
MSS architecture - client/server environment
one component of a distributed information infrastructure
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Four levels of functionality in MSS 1. electronic briefing books 2. exception reporting 3. active exploration of info. resources
using 4. focused management support
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1. electronic briefing books
graphical information displays that provide pre-formatte d routine info.
displays stored as information categories (e.g. pricing, product)
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2. exception reporting
critical info. outside range of pre-defined boundaries is highlighted
manager may be notified by system some orgs. use traffic-light pattern for
exception reporting– green = no problems– yellow = caution, marginal condition– red = trouble, needs immediate attention
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3. active exploration of info. resources using MSS can build queries to relational data
bases based on point and click of managers
can move between internal and external DBs
integrate all different analysis tools
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4. focused management support
focus support on key management activities or decisions (e.g. promotion planning, pricing)
requires integration of variety of sophisticated support tools customized for specific activity
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Implementing an MSS
Four key categories of risk must be managed: 1. need thorough understanding of
individual, team, and organizational information requirements
2. involves mega-change to formal and informal policies and practices for information management and communication information is power
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Implementing an MSS
Four key categories of risk must be managed:
3. implementation of an MSS should be considered an organizational change initiative need to manage the change
4. must manage the simultaneous evolution of both the organization and the technological infrastructure
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Past
Back in 1980s, management support tools consisted of stand-alone (e.g. not integrated!!) systems.
Two major types of support systems were (are) termed (1) DSS and (2) EIS/ESS.
Here’s some info. on these stand-alone systems.
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1. Decision support systems
systems that support rather than replace "managers" in their decision-making activities
give decision maker access to data and models, but the intelligence, intuition, and judgment of the decision maker are integral parts of the system
DSS provide decision support - don't automatically make the decision. They help with the decision.
Primarily support planning function
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Types of decisions
Organizational problems differ in terms of how structured the problems are the extent to which a solution procedure
can be stated structured - routine, repetitive unstructured - novel, nonroutine semistructured - somewhere in between
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DSS
DSS - computer system at management level that combines data, analytical models, and user-friendly software to support semistructured and unstructured decision making
give uses capability to analyze data - provide software tools
a DSS is focused on a specific decision
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Can define DSS as
computer-based systems that help decision makers confront un-structured and semi-
structured problems through direct interaction with data and analysis models
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Differences between DSS and MIS (note - MIS refers to formal systems
developed by IS professionals; e.g. management reporting systems)
DSS - end-user control of data and tools
aimed at top and middle managers emphasize change, flexibility and quick
response iterative development process
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Differences between DSS and MIS MIS - dominated by IS
professionals focuses on structured information flows
to middle managers traditional development process
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Core DSS capabilities
representations - heavy use of graphs and charts operations - mathematical manipulations of data
(e.g. assigning risks, generating statistics, simulating alternatives)
memory aids - databases, views of data, work spaces, libraries
control aids - user control activities of the DSS; include software language for user control of representations, operations, and memory
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DSS
DSS is a decision-making scratch pad, backed up by databases - used to support decision-making processes
can be applied to problems with quantifiable dimensions that provide criteria for evaluation of alternative solutions
helps DM identify best alternative
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3 basic Components of DSS
1. DSS database - collection of current or historical data which has been extracted from corporate databases; DSS manipulates live organizational data to support decision making
2. model base - collection of mathematical and analytical models
model - abstract representation, e.g. statistical functions sensitivity analysis - models that ask “what-if” questions to
determine the impact of changes in one or more factors on outcomes
e.g. what is we increase price by 5%?
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3 basic Components of DSS
3. DSS software system - permits easy interaction between users and the DSS database and model base
Building a DSS - requires intense user interaction because customized to specific users and specific type of decision; must be flexible and able to evolve; use an iterative development method like prototyping
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DSS Subsystems & The Capabilities They Offer
DataManagement
Data Management for Retrieval
Data Extractionfrom Internal andExternal Databases
ModelManagement
Creation,Maintenance, and Use of Models
DialogManagement
Menus, Icons,Natural Language,Graphics
DSS on a Computer PlatformDSS on a Computer PlatformHuman Decision MakerHuman Decision Maker
User
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models
Model is built by using a variety of assumptions about the relationship between its variables
by comparing alternatives (what if’s), you can vary the premises and compare the outcomes
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DSS supports asking 2 types of questions Scenario generation - what-if mode
– user considers alternative scenarios and their results
– e.g. what if advertising expenditures are increased by 5%
goal-seeking– user asks “what would it take in terms of
input factors to achieve a particular outcome
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Spreadsheets for decision support
very popular tools for decision support activities: 1) based on familiar way to view data (table)
and relationships between data take form of a report
2) very easy to use allow users to make corrections, additions, and
deletions quickly and easily can perform “what if” analyses by changing
some values and viewing results
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Spreadsheets for decision support
thousands of templates for spreadsheet packages to help users - templates are prepared spreadsheet models into which users only enter data - all relationships and calculating formulas are provided and in place
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examples for financial planning
loan amortization depreciation lease versus buy break-even analysis discounted cash flows and net present
value
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Spreadsheets
about 20-30% of users will become dissatisfied with spreadsheets for decision support and will want more powerful tools, but many users will stay with spreadsheets as primary DSS, especially for smaller problems
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Development & Adaptation of DSSProblem Definition by Users and Developers
Development ofInitial Prototype
Prototype/DSSEvaluation
Prototype/DSSModification
Validation andDocumentation of DSS
Are CurrentRequirements
Satisfied?
no
DSS Ready for Use
Develop-mentLoop
AdaptationLoop
yes
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2. Executive support systems (ESS) help senior level managers with
unstructured problems dealing with monitoring and control functions monitor organizational performance track activities of competitors spot problems identify opportunities forecast trends
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ESS combines computing and communications includes functions for providing summary
performance data data typically covers sales, production, earnings,
budgets, and forecasts uses graphics to display and visualize data in a very
easy to use fashion combine data from internal and external sources
environmental scanning/alerting - for news on government regulations, competition, financial and economic developments, and scientific topics
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ESS combines computing and communications support electronic communications
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ESS
used by both top level execs. and managers several levels below
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Relationship between EIS and DSSUser Task Primary Support
Areas
EISExecutive
Analyst/Middle
Manager
Flow of Problems
DSS
Problem/OpportunityDiscovery and
Assessment
Seeking Problem Solution:
Decision-Making Process
Monitoring and Control,
Strategic Planning
Planning