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    .(TPS)

    Serve the operational level of the organization Records daily routine transactions necessary to

    conduct business.

    At the operational level, tasks, resources and goalsare predefined and highly structured

    Generally, five functional categories are identified,shown in the diagram.

    Support operational managers by keeping track ofthe elementary activities and transactions of theorganization.

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    The principle purpose of systems at this levelis to answer routine questions and track theflow of transactions through the organization.

    Ex- Railway reservations

    Sales order entry

    Hotel reservation systems

    Employee record keeping etc.,

    TPS produces information for the other types ofsystems

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    Knowledge Management Systems ("KMS") exist to

    help businesses create and share information. These

    are typically used in a business where employeescreate new knowledge and expertise - which can then

    be shared by other people in the organization to

    create further commercial opportunities..

    KMS are built around systems which allow efficientcategorization and distribution of knowledge.

    1.Example, the knowledge itself might be contained inword processing documents, spreadsheets, PowerPoint

    presentations. internet pages or whatever. To share the

    knowledge, a KMS would use group collaboration

    systems such as an intranet.2.Good exam les include firms of law ers accountants and

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    Knowledge Work Systems andOffice Systems

    Serve the information needs at the knowledge level ofthe organization

    Knowledge workers

    are people who hold formal degrees

    Such as engineers, doctors, lawyers etc.,

    Data workers

    Less educational degrees and tend to process ratherthan create

    information

    Secretaries, bookkeepers, managers whose jobs are tomanipulate,

    disseminate information

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    Knowledge Work Systems (KWS)

    Targeted at meeting the knowledge needs

    ofknowledge workerswithin the

    organisation

    In general, knowledge workers hold degree-

    level professional qualifications (e.g.engineers, scientists, lawyers), their jobs

    consist primarily in creating new information

    and knowledgeKWS, such as scientific or engineering

    design workstations, promote the creation

    of new knowledge, and its dissemination

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    Knowledge-level Systems

    Support knowledge and data workers in an

    organisation. The purpose of these

    systems is to help the organisation

    discover, organise and integrate new andexisting knowledge in to the business, and

    to help control the flow of paperwork.

    These systems, specially in the form ofcollaboration tools, workstations, and office

    systems, are the fastest growing

    applications in business today.

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    ce utomat onSystem

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    What is an Office?

    An Office

    Receives information

    Records and stores information Structures information

    Processes information

    Provides access to information

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    Components of an office

    People

    Machines Paper

    Documents

    Procedures

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    Nature of Office Work

    Information workers

    Types Managerial, Non-managerial and Professional

    Types of Office work:-

    1.Document creation and preparation.

    2.Information / Document storage3.Information / Document retrieval

    4.Communication

    5.Meetings

    6.Reading mail.7.Decision making

    8. Information dissemination

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    What is Office Automation?

    Office automation refers to the use of

    integrated computer and communicationsystems to support administrative

    procedures in an office environment.

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    Need for Office Automation

    Office Automation Systems are systems that try to

    improve the productivity of employees who need to

    process data and information.

    Perhaps the best example is the wide range of

    software systems that exist to improve the

    productivity of employees working in an office(e.g. Microsoft Office XP) or systems that allow

    employees to work from home or whilst on the

    move.

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    .System

    Management level of an organization

    Serve the functions of planning, controlling

    and decision-making by Providing routine

    summary and exception reports. MIS usually serve managers interested in

    weekly, monthly, and yearly results but not

    day-to-day activities.Example: Annual budgeting

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    MIS provide managers with reports and, in

    some cases, on-line access to the

    organisations current performance and

    historical records

    Typically these systems focus entirely on

    internal events, providing the information for

    short-term planning and decision making.MIS summarise and report on the basic

    operations of the organisation, dependent

    on the underlying TPS for their data.

    Contd.

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    Designed to serve the monitoring, controlling,decision-making, and administrative activitiesof middle managers.

    These typically provide periodic reports rather

    than instant information on operations.Some of these systems support non-routine

    decision-making, focusing on less-structureddecisions for which information requirementsare not always clear.

    This will often require information from outsidethe organisation, as well as from normal

    operational-level data.

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    Management Information System

    Scheduled reports

    Key-indicator reports

    Exception reports

    Ad hoc (demand) reports Drill-down reports

    Creates reports managers can use

    to make routine business decisions

    4 D i i n S pp rt

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    4.Decision Support

    Systems(DSS)

    Meaning

    Offer potential to assist in solving

    both semi-structured and

    unstructured problems

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    Decision-Support Systems (DSS)

    Make decision that are unique

    They address problems where the procedure for arrivingat a

    solution may not be fully predefined in advance

    Use internal information from TPS and MIS and also

    information

    from external sources

    Ex: stock prices

    Product prices of competitors

    Competitors promotion plans

    DSS have more analytical power than other systems

    Focus on helping managers make decisions that are semi-

    structured, unique, or rapidly changing, and not easilys ecified in advance

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    Capabilities of a DSS (2)

    Highly Structured problems

    Straightforward problems, requiring known

    facts and relationships.

    Semi-structured or Unstructured problemsComplex problems wherein relationships

    among data are not always clear, the data

    may be in a variety of formats, and areoften difficult to manipulate or obtain

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    Solution Types

    Optimization model

    Finding the best solution Satisfying model

    Finding a good -- but not necessarily the best -

    - solution to a problem Heuristics

    Commonly accepted guidelines or procedures

    that usually find a good solution, refers toexperience-based techniques for problemsolving, learning, and discovery.

    Examples -using a rule of thumb", an educated

    guess, an intuitive judgment, or Common

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    Problem Solving Factors

    Multiple decision objectives

    Increased competition

    The need for creativity

    Social and political actions

    International aspects

    Technology

    Time compression

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    Decision Making as a

    Component of Problem SolvingIntelligence

    Design

    Choice

    Implementation

    Monitoring

    Problem

    solving

    Decision

    making

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    Top level management

    Designed to the individual

    Ties CEO to all levels

    Very expensive to keep up

    Extensive support staff

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    Serve the strategic level of the

    organisation

    ESS/EIS address unstructured decisionsand create a generalised computing and

    communications environment, rather tha

    providing any fixed application or specificcapability.

    Such systems are not designed to solve

    specific problems, but to tackle a

    Contd.

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    ESS/EIS are designed to incorporate data

    about external events, such as new tax laws

    or competitors, and also draw summarised

    information from internal MIS and DSS

    These systems filter, compress, and track

    critical data, emphasising the reduction oftime and effort required to obtain information

    useful to executive management

    ESS/EIS employ advanced graphics softwareto provide highly visual and easy-to-use

    representations of complex information and

    current trends, but they tend not to provide

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    6.Group Decision SupportSystem(GDSS)

    Contains most of the

    elements of DSS plussoftware to provide effective

    support in group decision-

    making settings

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    Contd.

    Group Decision Support Systems (GDSS) - Aninteractive, computer-based system that facilitatessolution of unstructured problems by a set ofdecision-makers working together as a group. It

    aids groups, especially groups of managers, inanalyzing problem situations and in performinggroup decision making tasks.

    Group Support Systems has come to mean

    computer software and hardware used to supportgroup functions and processes.

    Wh U GDSS?

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    Why Use GDSS?

    High level managers can spend 80% of theirtime making decisions in groups. Appliedcorrectly, GDSS can reduce this time,arriving at a better decision faster.

    GDSS provides the hardware, software,databases and procedures for effectivedecision making.

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    Is a knowledge based information system that uses

    its knowledge about a specific, complex application

    area to act as an expert consultant to end users

    Expert systems provide answers to questions in avery specific problem area by making humanlike

    inferences.

    So expert systems can provide decision support to

    end users in the form of advice from an expert

    consultant in a specific problem area

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    Expert systemis an information system application that

    captures the knowledge or expertise of a specialist and

    then simulates the thinking of that expert for those withless or no expertise.

    Expert systems are also called knowledge based systems

    or artificial intelligence based systems.

    Integration of database management system (DBMS) with

    expert systems for developing software for applications

    that require knowledge oriented processing of shared and

    scattered information. Also called knowledge base

    management system

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    Inability to learn

    Maintenance problems and developmental costSolve specific problems in a limited domain of

    knowledge

    Fail in solving problems which require broad

    knowledge base

    Can not learn from its experience

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    Inability to learn

    Maintenance problems and developmental costSolve specific problems in a limited domain of

    knowledge

    Fail in solving problems which require broad

    knowledge base

    Can not learn from its experience