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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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    http://adminexchange.files.wordpress.com/2007/07/sfdc-dashboard-pic.jpg
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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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    http://localhost/var/www/apps/GLG/Videos/Data%20Visualization.flvhttp://localhost/var/www/apps/GLG/Videos/Data%20Visualization.flv
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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

    / / D i i S t S t