it - decision support systems
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Presented By:
Deepali Bhardwaj
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Decision Characteristics OfManagement Levels
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Management Levels
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Strategic
Take decisions affecting entireorganization Define policies Set goals and direct organization toachieve them
Responsible for overall performance
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Management Levels
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Tactical Responsible for carrying out thegoals set by top management
Set goals for their Bus anddepartments
Set objectives for lower managementand provide valuable information totop management
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Management Levels
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Operational
Line managers Responsible for daily management ofline workers
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Stages Of Decision Making
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Managerial Behaviour & Roles Classical model of management
Five functions of managers
Planning, organizing, coordinating, deciding, and controlling
More contemporary behavioral models
Actual behavior of managers appears to be less systematic, more
informal, less reflective, more reactive, and less well organized
than in classical model
Mintzbergs behavioral model of managers defines 10 managerial
roles falling into 3 categories
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Managerial Roles & Supporting IS Interpersonal roles:
Figurehead
Leader
Liaison
Informational roles: Nerve center
Disseminator
Spokesperson
Decisional roles: Entrepreneur
Disturbance handler
Resource allocator
Negotiator
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Telepresence systems
Telepresence, social net works, Twitters
Smartphones, social net works
MIS, ESS
E-mail, social networks
Telepresence, Webinars
None exist
None exist
BI, DSS systems
None exist
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Factors Influencing Decision Making Information quality
Accurate, Timely, Consistent, Complete, Valid,
Accessible
Management filters
Organizational Inertia and Politics
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Business Intelligence & Decision Making
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Business Intelligence EnvironmentSix elements of BI Environment
Data from business environment
BI Infrastructure Business analytics toolset
Managerial users and methods
Delivery platform MIS, DSS, ESS
User interface
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Systems For Decision Support Management Information Systems
Decision Support Systems
Group Decision Support Systems (GDSS) Executive Support Systems
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Systems For Decision Support Web-based customer decision-support systems
(CDSS)
Internet search engines, intelligent agents, web
directories, newsgroup discussions etc
Group Decision Support Systems (GDSS)
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Executive Information Systems
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Senior management focus
Support non-routine, strategic decisions
for which procedures
not predefined Uses data from MIS, DSS,
and external events
Filter, compress track anddisplay critical data
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Executive Information Systems
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Executive Information Systems Sense and Respond strategy
Environment scanning for strategic threats and
opportunities Integrate data from different systems( internal andexternal) designed for different purposes
Timely, accurate, and comprehensive information
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Executive Information Systems ESS tools
Statistical tools with drill down ability (BI)
Balance Scorecards Digital dashboards
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Balance Scorecard
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Strategic Objectives: What is the strategy toachieve in that perspective
Measures: How the progress for that particularobjective be measured
Target: The target value sought for each measure
Initiatives: What will be done to facilitatereaching of that target
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Balance Scorecard
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Objective Specific Measures
Growth Revenue GrowthProfitability Return on EquityCost Leadership Unit Cost
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Dashboards
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Advantage Of Dashboards Visual presentation of performance measures
Ability to identify and correct negative trends
Measure efficiencies/inefficiencies
Ability to generate detailed reports showing new trends
Ability to make more informed decisions based oncollected BI
Align strategies and organizational goals
Save time over running multiple reports Gain total visibility of all systems instantly
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Middle management focus
Monitor and control business, summarize basicoperations
Uses data from TPS
Periodic use of data
Reports
Scheduled reports
Key indicator reports
Exception reports
Drilled down reports
Adhoc reports
Management Information Systems
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Decision Support Systems
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Middle management focus
Semi-structured or unstructured problem analysis
Support decision making for
rapidly changing problems for
which procedures not predefined
Uses data from TPS, MIS and
external sources
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Components Of A Decision SupportSystem
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Data Management FunctionsData extraction, Validation, Sanitation, Integration and Replication
User Interface FunctionsHyperlinked Multimedia, 3-D Visualization
Model Management FunctionsAnalytical Modeling, Statistical Analysis
LegacySoftware
WebBrowser
OtherSoftware
Operational
DBMarket
DataSalesData
CustomerAccount
Data
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Decision Support Systems Data driven(OLAP, Data Mining),
Models driven(What-If or other models)
Data Visualization and Geographic InformationSystems(GIS)
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Examples Of Analytical ModelingType of Analytical Modeling Activities and Examples
What-if analysis Observing how changes to selected variables affect othervariablesExample: What if we cut Power distribution to Industrial areaby 10 %?What would happen to the production figures of key
industries?Goal-seeking analysis Observing how repeated changes to a single variable affect
other variablesExample: Increasing power supply to industrial area by 2%repeatedly so we can see its relationship to production
Sensitivity analysis Making repeated changes to selected variables until a chosenvariable reaches a target valueExample: Lets try increases in Power supply to IndustrialUnit until production reaches 1 lakh units
Optimization analysis Finding an optimum value for selected variables, givencertain constraintsExample: Whats the best amount of Power distribution tohave between Industrial and Residential units given our
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Data Visualization And GIS Data visualization: Helps in identifying
patterns and relationships
Charts, maps, tables, digital images, three-
dimensional presentations, animations etc
Data Visualization example
GIS: Data representation in digitized maps
Geographically referenced information
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GIS Apps for Energy Sector
Information retrieval Maintenance and monitoring
Site Identification
Other applications:
The study and analysis for electrical distribution system,analysis and design.
Applications are also being developed for tackling problem ofdesigning the electrical supply system for new residentialdevelopment.
For process automation in order to provide their customerswith high quality attendance.
To rebuild the design of work procedures in electric utilities.
GIS and GPS are also integrated for mapping and analysis ofelectric distribution circuits.
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GIS Apps For Power Sector
Evaluating system reliability and capacity GIS-based outage management applications help
companies respond to interruptions in service.
Tracking down power loss Managing revenue collection
Identifying suitable sites for new transmissionlines
suitable areas, the optimum path
finding, the profile analyses, the engineering design oftowers and wires and the cost estimation
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