Mis notes unit 3-BBA/BCA

MIS - UNIT 3
INFORMATION & SYSTEMS:
INFORMATION CONCEPTS
The word information. is used commonly in our day to day working. In MIS, information
has a precise meaning and it is different from data. The information has a value in
decision making while data does not have. Information brings clarity and creates an
intelligent human response in the mind. In MIS a clear distinction is made between data
and information. Data is like raw materials while the information is equivalent to the
finished goods produced after processing the raw material. Information has certain
characteristics. These are: Information
Improves representation of an entity
Updates the level of knowledge.
Has a surprise value.
Reduces uncertainty.
Aids in decision making.
The quality of information could be called good or bad depending on the mix of these
characteristics. Devis and Olson defines information as a data that has been processed
into a form that is meaningful to the recipient and is of real or perceived value in the
current or the prospective actions or decisions of the recipient. Data is defined as groups
of non-random symbols in the form of text, images or voice representing quantities,
actions and objects. Whether an entity is a data or information, it must be transferred
through communication from the Source. to the Destination without loss of content.
The above model of communication is used in the MIS. The MIS is equivalent to the
transmitter which provides information and sends through reports (channel) to the various
receivers, which is decoded or interpreted by the receiver at the destination. The poor
quality of information due to various factors would create confusion and
misunderstanding, which is equivalent to a Noise and a Destortion in the communication
model. A good MIS communicates the information without a noise and a distortion to the
user.
Information Presentation
Presentation of the information is an art. The data may be collected in the best possible
manner and processed analytically, bringing lot of value in the information; however, if it
is not presented properly, it may fail to communicate anything of value to the receiver.
The degree of communication is affected by the methods of transmission, the manner of
information handling and the limitations and constraints of a receiver as the information
processor and the organization as the information user.
The methods used for improving communication are summarization and message routing.
The concept of summarization is used to provide information which is needed in the form
and content.

The principle behind summarization is that too much information causes noises and
distortions, i.e., confusion, misunderstanding and missing the purpose. The
summarization suppresses the noise and the distortions.
Another method of improving the degree of communication is through message routing.
The principle here is to distribute information to all those who are accountable for the
subsequent actions or decisions in any manner. That is if the information is generated
with a certain purpose for a primary user, then such information may have secondary
purposes to some other users in the organization. This is achieved by sending the copies
of the reports or documents to all the concerned people or users. The principle of the
message routing achieves the spread of information to the appropriate quarters.
Knowledge is a power and an intelligent person in the organization can misuse this power
to achieve personal goals undermining the functional and organizational goals. This
tendency should be curbed. Further, the decision maker may call for the information on
the grounds that, just in case required, he should readily have it. Apart from the misuse of
information, it has an impact on the cost of information processing. In order to curb the
misuse of information, a control is exercised on the content of information and its
distribution.
Bias in information
While choosing the appropriate method of communicating information a care has to be
taken to see that is not biased. For example, while using the techniques of classification
or filtering the information, it should not happen that certain information gets eliminated
or does not get classified. That is, a deliberate bias in covering certain information is to
be avoided. This bias enters because people try to block sensitive information which
affects them. To overcome this problem, a formal structure of organization should be
adopted and the type of information and its receiver should be decided by the top
management.
Many a times the data and the information are suppressed but the inferences are
informed, with no or little possibility of verification or rethinking. In this case one who
draws inferences may have a bias in the process of collection, processing and
presentation of data and information. Though the deliberate enforcement of the inference
on the receiver avoids a possibility of the multiple inferences, but in this case processor.s
bias is forced on the receiver. For example, organizations have departments like
Corporate Planning, Market Research, R and D, HRD and so on, which collect the data
and analyze it for the company and communicate the inferences. In all these cases
personal bias, organizational bias and management bias may be reflected in the entire
process of collection processing, and communication inference.
The presentation of the information will generate a bias and may influence the user. For
example, if the information is presented in an alphabetical order and if it is lengthy, the

first few information entities will get more attention. If the information is presented with
a criteria of exception, the choice of exception and deviation from the exception creates a
bias by design itself. For a quick grasp, the information is presented in a graphical form.
The choice of scale, the graphic size and the colour introduced a bias in the reader.s
mind.
The base, which may creep in inadvertently because of the information system design,
can be tackled by making the design flexible, so far as reporting is concerned. Allow
the manager or the decision maker to choose his classification or filtering criteria, the
scope of information, the method of analysis and the presentation of inference. However,
somewhere balance needs to be maintained between the flexibility of the design and the
cost, and its benefits to the managers. Disregarding the bias in information, it must have
certain attributes to increase its utility.
Redundancy is the repetition of the parts or messages in order to circumvent the
distortions or the transmission errors. The redundancy, therefore, sometimes is
considered as an essential feature to ensure that the information is received and digested.
In MIS the redundancy of data and information, therefore, is inevitable on a limited scale.
Its use is to be made carefully so that the reports are not crowded with information.
Characteristics of Information :
The parameters of a good quality are difficult to determine, however, the information can
be termed as of a good quality if it meets the norms of impartiality, validity, reliability,
consistency and age. The quality of information has another dimension of utility from the
users point of view. The users being many, this is difficult to control. Therefore, if one
can develop information with due regards to these parameters, one can easily control the
outgoing quality of the information with the probable exception of the satisfaction at the
users end.
Following are the essential characteristic features :
(i) Timeliness : Timeliness means that information must reach the recipients within the
prescribed timeframes. For effective decision-making, information must reach the
decision-maker at the right time, i.e. recipients must get information when they need it.
Delays destroys the value of information. The characteristic of timeliness, to be effective,
should also include up-to-date, i.e. current information.
(ii) Accuracy : Information should be accurate. It means that information should be free
from mistakes, errors &, clear Accuracy also means that the information is free from bias.
Wrong information given to management would result in wrong decisions. As managers
decisions are based on the information supplied in MIS reports, all managers need
accurate information.

(iii) Relevance : Information is said to be relevant if it answers especially for the
recipient what, why, where, when, who and why? In other words, the MIS should serve
reports to managers which is useful and the information helps them to make decisions..
(iv) Adequacy : Adequacy means information must be sufficient in quantity, i.e. MIS
must provide reports containing information which is required in the deciding processes
of decision-making. The report should not give inadequate or for that matter, more than
adequate information, which may create a difficult situation for the decision-maker.
Whereas inadequacy of information leads to crises, information overload results in chaos.
(v) Completeness : The information which is given to a manager must be complete and
should meet all his needs. Incomplete information may result in wrong decisions and thus
may prove costly to the organization.
(vi) Explicitness : A report is said to be of good quality if it does not require further
analysis by the recipients for decision making.
(Vii) Impartiality: Impartial information contains no bias and has been collected without
any distorted view of the situation. The partiality creeps in, if the data is collected with a
preconceived view, a prejudice, and a pre-determined objective or a certain motive.
(viii)Validity: The validity of the information relates to the purpose of the information.
In other words, it is the answer to the question-dose the information meet the purpose of
decision making for which it is being collected? The validity also depends on how the
information is used. Since the information and the purpose need not have one to one
correspondence, the tendency to use it in a particular situation may make the information
invalid. For example, if the quality of the manufactured product is deteriorating and it is
decided to select the causes of poor quality, then one must collect all the possible causes
which may affect the quality. Quality is a function of the raw material, the process of
manufacture, the tools applied, the measures of the quality assessment, the attitude of the
people towards the control of quality. However, if the information collected talks only
about raw materials and the process of manufacture, then this information is not sufficient
and hence it is not valid for all the decisions which are required to control the quality.
(ix) Reliability: It is connected to the representation and the accuracy of what is being
described. For example, if the organization collects the information on the product
acceptance in the selected market segment, the size of the sample and the method of
selection of the sample will decide the reliability. If the sample is small, the information
may not give the correct and a complete picture and hence it is not reliable. The
reliability is also affected from the right source.
(x)Consistency:The information is termed as inconsistent if it is derived form a data
which dose not have a consistent pattern of period. Somewhere, the information must
relate to a consistent base or a pattern. For example, you have collected the information

on the quantity of production for the last twelve months to fix the production norms. If in
this twelve months period, the factory has worked with variable shift production, the
production statistics of the twelve months for comparison is inconsistent due to per shift
production. The consistency can be brought in by rationalizing the data to per shift
production per month. The regularity in providing the information also helps in assessing
the consistency in the information.
(xi)Age: If the information is old, it is not useful today. The currency of the information
makes all the difference to the users. If the information is old then it does not meet any
characteristics of the information viz., the update of knowledge, the element of surprise
and the reduction of uncertainty, and the representation. Maintaining these parameters at
a high degree always poses a number of problems. These problems are in the
management of the operations, the sources, the data processing
and the systems in the organization. A failure to maintain the parameters to a high degree
affects the value of the information to the decision maker.
Types of Information
Classification of Information : The information can be classified in a number of ways
provide to better understanding.
Jhon Dearden of Harvard University classifies information in the following manner :
(1) Action Verses No-Action Information : The information which induces action is
called action information. ‘No stock‘report calling a purchase action is an action
information. The information which communicates only the status is No-Action
Information. The stock balance is no-action information.
(2) Recurring Verses No-Recurring Information : The information generated at
regular intervals is recurring information. The monthly sales reports, the stock
statement, the trial balance, etc are recurring information. The financial analysis or the
report on the market research study is norecurring information.
(3) Internal and external information : The information generated through the internal
sources of the organization is termed as Internal Information, while the information
generated through the govt. reports, the industry survey etc., termed as External
Information, as the sources of the data are outside the organization.
The information can also be classified, in terms of its application :
(i) Planning Information : Certain standard norms and specifications are used in
planning of any activity. Hence such information is called the Planning Information. e. g.
Time standard, design standard.
(ii) Control Information : Reporting the status of an activity through a feedback
mechanism is called the Controlling Information. When such information shows a

deviation from the goal or the objective, it will induce a decision or an action leading to
control.
(iii) Knowledge Information : A collection of information through the library records
and the research studies to build up a knowledge base as an information is known as
Knowledge Information.
(iv)Organization Information : When the information is used by everybody in the
organization, it is called Organization Information. Employee and payroll Information is
used by a number of people in an organization.
(v) Functional/ Operational Information : When the information is used in the
operation of a business it is called Functional/Operational Information.
(vi) Database Information : When the information has multiple use and application, it is
called as database information. Material specification or supplier information is stored for
multiple users.
Difference between Data Processing and Information Processing
Data Processing : Data Processing is a process that converts data into information or
knowledge. The processing is usually assumed to be automated and running on a
computer. Because data are most useful when well-presented and actually informative,
data-processing systems are often referred to as information systems to emphasize their
practicality. Nevertheless, both terms are roughly synonymous, performing similar
conversions; data-processing systems typically manipulate raw data into information, and
likewise information systems typically take raw data as input to produce information as
output. Data processing is that a business has collected numerous data concerning an
aspect of its operations and that this multitude of data must be presented in meaningful,
easy-to-access presentations for the managers who must then use that information to
increase revenue or to decrease cost. That conversion and presentation of data as
information is typically performed by a data-processing application.
Information Processing : Information processing is the change or processing of
information in any manner detectable by an observer. Information processing may more
specifically be defined in terms by Claude E. Shannon as the conversion of latent
information into manifest information. Latent and manifest information is defined
through the terms of equivocation, remaining uncertainty, what value the sender has
actually chosen, dissipation uncertainty of the sender what the receiver has actually
received and transformation saved effort of questioning - equivocation minus dissipation.
Practical Information Processing can be described as a cycle, where data which may have
no inherent meaning to the observer is converted into information, which does have
meaning to the observer.

INFORMATION A QUALITY PRODUCT
Information is a product of data processing. The quality of information is high if it creates
the managerial impact leading to attention, decision and action. The quality of the
information can be measured in four dimensions:
Utility.
Satisfaction.
Errors.
Bias.
Utility dimension has 4 facets: the firm, the time, access and the possession. If the
information is represented in the form manager requires then its utility increases. If the
information is available when needed then the utility is optimized. If the information is
easily and quickly accessible through the online process, its utility gets efficient
technology. If the information is possessed by the manager who needs it then its utility is
highest. To increase the utility the cost factor should be increased.
Satisfaction Since the information is available to many users in system the
subjectiveness would vary. The degree of satisfaction could determine the quality of
information. If the organization has high degree of satisfaction then the information can
be available at all the levels to the manager.
Errors Errors occur because of various reasons such as incorrect data measurement,
incorrect data collection, failure in data processing, incomplete data, poor application of
data and control system and deliberate biasing. To clear the errors it is necessary to
follow the methods of system analysis & design.
Bias Procedure of communicating the information should be such that the system is able
to detect the degree and the nature of the bias and correct information accordingly.
PARAMETERS OF QUALITY
The users being many, the information is difficult to control. Following parameters are
used to control the quality of the information.
 Impartiality: Impartial information contains no bias and has been collected
without any distorted view of the system.
 Validity: The validity of the information creates to the purpose of the system or
the scope of the information. It also dependent on how it is used.
 Reliability: It is connected to the representation and the accuracy of what is being
described in the information.
 Consistency: The information is termed as inconsistent if it derived from a data
which does not have a consistent pattern of the period.
 Age: If the information is too old, it will not be useful in today‘s system. The
currency of information makes all the differences to the user. If the information is
old, it doesn‘t provide any characteristic as the update of knowledge, the element
of surprise, representation and the reduction of uncertainty.

The different methods for Data Collection
Methods of Data and Information Collection :
Several methods are available for the collection of data. The choice of method will have
an impact on the quality of information. Similarly the design of data collection method
also decides the quality of data and information. The methods of data collection and
processing become a part of the MIS. The various methods of data collection are
explained in Table . An awareness of these methods is essential to the manager. Further,
he should also nunderstand the potential problems of bias, currency, and the fact versus
the opinion in the various types of methods. The observation, the experiment, the survey
and the subjective estimation are the methods chosen for data collection and information
about a specific problem, while the remaining methods are chosen to collect data on a
routine basis without any particular problem whatsoever.
Following are the methods of data collection :
i) Observation
ii) Experiment
iii) Survey
iv) Subjective Estimation
v) Transaction Processing
vi) Purchase from Outside
vii) Publication
viii) Government Agencies
Methods of Data and Information Collection :
The specific methods analysts use for collecting data about requirements are called fact –
finding techniques. These include the interview, questionnaire, record inspections (on –
site review) and observation. Analysts usually employ more that one of these techniques
to help ensure an accurate and comprehensive investigation.
1 )Interview
Analysts use interviews to collect information from individuals or from groups. The
respondents are generally current users of the existing system or potential users of the
proposedsystem. In some instances, the respondents may be managers or employees who
provide data for the proposed system or who will be affected by it. Although some
analysts prefer the interview to other fact – finding techniques, it is not always the best
source of application data. Because of the time required for interviewing, other methods
must also be used to gather the information needed to conduct an investigation.
It is important to remember that respondents and analysts converse during an interview –
the respondents are not being interrogated. Interviews provide analysts with opportunities
for gathering information form respondents who have been chosen for their knowledge of

the system under study. This method is frequently the best source of qualitative
information (opinions, policies, and subjective descriptions of activities and problems).
Other fact finding methods are likely to be more useful for collecting quantitative data
(numbers, frequencies, and quantities).
This method of fact – finding can be especially helpful for gathering information from
individuals who do not communicate effectively in writing or who may not have the time
to complete questionnaires. Interviews allow analysts to discover areas of
misunderstanding, unrealistic expectations, and even indications of resistance to the
proposed system.
Interviews can be either structured or unstructured:
Unstructured interviews, using a question – and – answer format, are appropriate when
analysts want to acquire general information about a system. This format encourages
respondents to share their feelings, ideas, and beliefs.
Structured interviews use standardized questions in either an open response or closed –
response format. The former allows respondents to answer in their own words; the latter
uses a set of prescribed answers.
Each approach has advantages and disadvantages. The success of an interview depends
on the skill or the interviewer and on his or her preparation for the interview. Analysts
also need to be sensitive to the kinds of difficulties that some respondents create during
interviews and know how to deal with potential problems. They need to consider not only
the information that is acquired during an interview, but also its significance. It is
important to have adequate verification of data through other data collection methods.
2 ) Questionnaire
The use of questionnaires allows analysts to collect information about various aspects of
a system from a large number of persons. The use of standardized question formats can
yield more reliable data than other fact – finding techniques, and the wide distribution
ensures greater anonymity for respondents, which can lead to more honest responses.
However, this method does not allow analysts to observe the expressions or reactions or
respondents. In addition, response may be limited, since completing questionnaires may
not have high priority among the respondents.
Analysts often use open – ended questionnaires to learn about feeling, opinions, and
general experiences or to explore a process or problem.
Closed questionnaires control the frame of reference by presenting respondents with
specific responses form which to choose. This format is appropriate for electing factual
information.
The high cost of developing and distributing questionnaires demands that analysts
carefully consider the objective of the questionnaire and determine what structure will be

most useful to the study and most easily understood by the respondents. Questionnaires
should also be tested and, if necessary, modified before being printed and distributed.
As with interviewees, recipients, of questionnaires would be selected for the information
they can provide. The analysts should ensure that the respondents, background and
experiences qualify them to answer the questions.
3 )Record Review
Many kinds of records and reports can provide analysts with valuable information about
organizations and operations. In record reviews, analysts examine information that has
been recorded about the system and user. Record inspection can be performed at the
beginning of the study, as an introduction, or later in the study, as a basis for comparing,
actual operations with the records indicate should be happening.
Records include written policy manuals, regulations and standard operating procedures
used by most organizations and a guide for managers and employees. They do not show
what activities are actually occurring, where the decision – making power lies, or how
tasks are performed. However, they can help analysts understand the system by
familiarizing them with what operations must be supported and with formal relations
within the organization.
4 ) Observation
Observation allows analysts to gain information they cannot obtain by any other fact –
finding method. Through observation, analysts can obtain firsthand information about
how activities are carried out. This method is most useful when analysts need to actually
observe how documents are handled, how processesare carried out, observers know what
to look for and how to assess the significance of what they observe.
Value of Information
Dimensions of Information : There are three most common dimensions of information
for MIS :
(i) Economic Dimension : Economic dimension of information refers to the cost of
information and its benefits. Generation of information costs money. Measuring cost and
benefit of information is difficult because of intangible characteristic of information.
Cost of Information : Cost of information may include: Cost of acquiring data, Cost of
maintaining data, Cost of generating information and Cost of communication
information. Cost related to the response time require to generate information and
communicating it. Thus, for systemwith low response time, the costis high. The costis
depends on accuracy, speed of generation etc.
Value of Information : Information has a cost for its acquisition and maintenance. Thus
before a particular piece of information is acquired, decision maker must know its value.
The information has a perceived value in terms of decision making. The decision maker

feels more secured when additional information is received in case of decision making
under uncertainty or risk.
Perfect Information : The information is called a Perfect Information, if it wipes out
uncertainty or risk completely. However, perfect information is a myth. The value of
information is the value of the change in decision behavior because of the information.
The change in the behaviour due to new
information is measured to determine the benefit from its use. To arrive at the value of
information, the cost incurred to get this information is deducted from the benefit.
Value of information = Cost to get information-benefit
Given a set of possible decisions, a decision maker will select one on the basis of the
available information. If the new information causes a change in the decision, then the
value of information is the difference in the value between outcome of the old decision
and that of new decision, less the cost obtaining the new information. The value of the
additional information making the existing information perfect (VPI) is:
VPI = (V2 - V1) - (C2 - C1)
Where V is the value of the information and C is the cost of obtaining the information. V1
and C1 relate to one set of information V2, C2 relate to the new set.
In MIS, the concept of the value of information is used to find out the benefit of perfect
information and if the value is significantly high, the system should provide it. If the
value is insignificant, it would not be worth collecting the additional information.
(ii) Business Dimension : Different types of information are required by managers at
different levels of the management hierarchy. The information needs of managers at
strategic planning level are altogether different that those of operational control
managers. It is because of the fact that managers at different levels are required to
perform different functions in an organization.
(iii) Technical Dimension : This dimension of information refers to the technical aspects
of the database. It includes the capacity of database, response time, security, validity, data
interrelationship etc.

MIS & System Concept:
DEFINING A SYSTEM
A collection of components that work together to realize some objectives forms a system.
Basically there are three major components in every system, namely input, processing
and output.
In a system the different components are connected with each other and they are
interdependent. For example, human body represents a complete natural system. We are
also bound by many national systems such as political system, economic system,
educational system and so forth. The objective of the system demands that some output is
produced as a result of processing the suitable inputs. A well-designed system also
includes an additional element referred to as „control‟ that provides a feedback to achieve
desired objectives of the system.
Term system is derived from the Greek word „Systema‟ which means an organized
relationship among functioning units or components.
Definition of System :
"A system is an orderly grouping of interdependent components linked together
according to a plan to achieve a specific objective".
Characteristics of a System:
• Organization
• Interaction
• Interdependence
• Integration
• Central Objective
i) Organization-It implies structure and order.
ii) Interaction-It refers to manner in which each component functions with other
components of the system.
iii)Interdependence-Units/parts are dependent on each other.
iv)Integration-The parts of a system work together within the system even though each
part performs a unique function.
v)Central Objective-Objective may be real or stated. All the components work together
to achieve that particular objective.
Elements of a System
In most cases, systems analysts operate in a dynamic environment where change is a way
of life. The environment may be a business firm, a business application, or a computer
system. To reconstruct a system, the following key elements must be considered:
1. Outputs and inputs.

2. Processor(s).
3. Control.
4. Feedback.
5. Environment.
6. Boundaries and interface.
1 ) Outputs and Inputs : A major objective of a system is to produce an output that has
value to its user. Whatever the nature of the output (goods, services, or information), it
must be in line with the expectations of the intended user. Inputs are the elements
(material, human resources, and information) that enter the system for processing. Output
is the outcome of processing. A system feeds on input to produce output in much the
same way that a business brings in human, financial, and material resources to produce
goods and services. It is important to point out here that determining the output is a first
step in specifying the nature, amount, and regularity of the input needed to operate a
system. For example, in systems analysis, the first concern is to determine the user‟s
requirements of a proposed computer system – that is, specification of the output that the
computer is expected to provide for meeting user requirements.
2) Processor(s) : The processor is the element of a system that involves the actual
transformation of input into output. It is the operational component of a system.
Processors may modify the input totally or partially, depending on the specifications of
the output. This means that as the output specifications change so does the processing. In
some cases, input is also modified to enable the processor to handle the transformation.
3) Control : The control element guides the system. It is the decision – making
subsystem that controls the pattern of activities governing input, processing, and output.
In an organizational context, management as a decision – making body controls the
inflow, handling and outflow of activities that affect the welfare of the business. In a
computer system, the operating system and accompanying software influence the
behaviour of the system. Output specifications determine what and how much input is
needed to keep the system in balance.
In systems analysis, knowing the attitudes of the individual who controls the area for
which a computer is being considered can make a difference between the success and
failure of the installation. Management support is required for securing control and
supporting the objective of the proposed change.
4 )Feedback: Control in a dynamic system is achieved by feedback. Feedback measures
output against a standard in some form of cybernetic procedure that includes
communication and control. Output information is fed back to the input and / or to
management (Controller) for deliberation. After the output is compared against
performance standards, changes can result in the input or processing and consequently,
the output.
Feedback may be positive or negative, routing or informational. Positive feedback
reinforces the performance of the system. It is routine in nature. Negative feedback

generally provides the controller with information for action. In systems analysis,
feedback is important in different ways. During analysis, the user may be told that the
problems in a given application verify the initial concerns and justify the need for change.
Another form of feedback comes after the system is implemented. The user informs the
analyst about the performance of the new installation. This feedback often results in
enhancements to meet the user‟s requirements.
5) Environment
The environment is the “suprasystem” within which an organization operates. It is the
source of external elements that impinge on the system. In fact, it often determines how a
system must function. For example, the organization‟s environment, consisting of
vendors, competitors, and others, may provide constraints and, consequently, influence
the actual performance of the business.
6 ) Boundaries and interface
A system should be defined by its boundaries – the limits that identify its components,
processes and interrelationship when it interfaces with another system. For example, a
teller system in a commercial bank is restricted to the deposits, withdrawals and related
activities of customers checking and savings accounts. It may exclude mortgage
foreclosures, trust activities, and the like.
Each system has boundaries that determine its sphere of influence and control. For
example, in an integrated banking – wide computer system design, a customer who has a
mortgage and a checking account with the same bank may write a check through the
“teller system” to pay the premium that is later processed by the “mortgage loan system.”
Recently, system design has been successful in allowing the automatic transfer of funds
form a bank account to pay bills and other obligations to creditors, regardless of distance
or location. This means that in systems analysis, knowledge of the boundaries of a
givensystem is crucial in determining the nature of its interface with other systems for
successful design.
1.6 Types of systems
The frame of reference within which one views a system is related to the use of
the systems approach for analysis. Systems have been classified in different ways.
Common classifications are: (1) physical or abstract, (2) open or closed, and (3) “man –
made” information systems.
1.6.1 Physical or abstract systems
Physical systems are tangible entities that may be static or dynamic in operation.
For example, the physical parts of the computer center are the officers, desks, and chairs
that facilitate operation of the computer. They can be seen and counted; they are static. In
contrast, a programmed computer is a dynamic system. Data, programs, output, and
applications change as the user‟s demands or the priority of the information requested
changes. Abstract systems are conceptual or non-physical entities. They may be as
straightforward as formulas of relationships among sets of variables or models – the

abstract conceptualization of physical situations. A model is a representation of a real or a
planned system. The use of models makes it easier for the analyst to visualize
relationships in the system under study. The objective is to point out the significant
elements and the key interrelationships of a complex system.
1.6.2 Open or Closed Systems
Another classification of systems is based on their degree of independence. An
open system has many interfaces with its environment. It permits interaction across its
boundary; it receives inputs from and delivers outputs to the outside. An information
system falls into this category, since it must adapt to the changing demands of the user. In
contrast, a closed system is isolated from environmental influences. In reality, a
completely closed system is rare. In systems analysis, organizations, applications and
computers are invariably open, dynamic systems influenced by their environment.
1.4 SYSTEM LIFE CYCLE:
System life cycle is an organizational process of developing and maintaining systems. It
helps in establishing a system project plan, because it gives overall list of processes and
sub-processes required for developing a system.
System development life cycle means combination of various activities. In other words
we can say that various activities put together are referred as system development life
cycle. In the System Analysis and Design terminology, the system development life cycle
also means software development life cycle.
Following are the different phases of system development life cycle:
1. Preliminary study
2. Feasibility study
3. Detailed system study
4. System analysis
5. System design
6. Coding
7. Testing
8. Implementation
9. Maintenance

PHASES OF SYSTEM DEVELOPMENT LIFE CYCLE
(1) Preliminary System Study:
Preliminary system study is the first stage of system development life cycle. This is a
brief investigation of the system under consideration and gives a clear picture of what
actually the physical system is? In practice, the initial system study involves the
preparation of a „System Proposal‟ which lists the Problem Definition, Objectives of the
Study, Terms of reference for Study, Constraints, Expected benefits of the new system,
etc. in the light of the user requirements. The system proposal is prepared by the System
Analyst (who studies the system) and places it before the user management. The
management may accept the proposal and the cycle proceeds to the next stage. The
management may also reject the proposal or request some modifications in the proposal.
In summary, we would say that system study phase passes through the following steps:
• problem identification and project initiation
• background analysis
• inference or findings (system proposal)
(2) Feasibility Study:
In case the system proposal is acceptable to the management, thenext phase is to examine
the feasibility of the system. The feasibilitystudy is basically the test of the proposed
system in the light of itsworkability, meeting user‟s requirements, effective use of
resourceand of course, the cost effectiveness. These are categorized as
technical,operational, economic and schedule feasibility. The main goalof feasibility
study is not to solve the problem but to achieve thescope. In the process of feasibility
study, the cost and benefits are estimated with greater accuracy to find the Return on
Investment(ROI). This also defines the resources needed to complete the detailed
investigation. The result is a feasibility report submitted tothe management. This may be
accepted or accepted with modificationsor rejected. The system cycle proceeds only if the
managementaccepts it.
(3) Detailed System Study:
The detailed investigation of the system is carried out in accordancewith the objectives of
the proposed system. This involves detailedstudy of various operations performed by a
system and their relationshipswithin and outside the system. During this process, dataare
collected on the available files, decision points and transactionshandled by the present
system. Interviews, on-site observation andquestionnaire are the tools used for detailed
system study. Usingthe following steps it becomes easy to draw the exact boundary of the
new system under consideration:
• Keeping in view the problems and new requirements
• Workout the pros and cons including new areas of the system
All the data and the findings must be documented in the form of detailed data flow
diagrams (DFDs), data dictionary, logical data structures and miniature specification. The
main points to be discussed in this stage are:
• Specification of what the new system is to accomplish based on the user requirements.

• Functional hierarchy showing the functions to be performed by the new system and
their relationship with each other.
• Functional network, which are similar to function hierarchy but they highlight the
functions which are common to more than one procedure.
• List of attributes of the entities – these are the data items which need to be held about
each entity (record)
(4) System Analysis:
Systems analysis is a process of collecting factual data, understand the processes
involved, identifying problems and recommending feasible suggestions for improving the
system functioning.
This involves studying the business processes, gathering operational data, understand
the information flow, finding out bottlenecks and evolving solutions for overcoming the
weaknesses of the system so as to achieve the organizational goals. System Analysis also
includes subdividing of complex process involving the entire system, identification of
data store and manual processes.
The major objectives of systems analysis are to find answers for each business process:
What is being done, How is it being done, Who is doing it, When is he doing it, Why is it
being done and How can it be improved? It is more of a thinking process and involves the
creative skills of the System Analyst. It attempts to give birth to a new efficient system
that satisfies the current needs of the user and has scope for future growth within the
organizational constraints. The result of this process is a logical system design. Systems
analysis is an iterative process that continues until a preferred and acceptable solution
emerges.
(5) System Design:
Based on the user requirements and the detailed analysis of the existing system, the new
system must be designed. This is the phase of system designing. It is the most crucial
phase in the developments of a system. The logical system design arrived at as a result of
systems analysis is converted into physical system design. Normally, the design proceeds
in two stages:
• Preliminary or General Design
• Structured or Detailed Design
Preliminary or General Design: In the preliminary or general design, the features of the
new system are specified. The costs of implementing these features and the benefits to be
derived are estimated. If the project is still considered to be feasible, we move to the
detailed design stage.
Structured or Detailed Design: In the detailed design stage, computer oriented work
begins in earnest. At this stage, the design of the system becomes more structured.
Structure design is a blue print of a computer system solution to a given problem having
the same components and inter-relationships among the same components as the original

problem. Input, output, databases, forms, codification schemes and processing
specifications are drawn up in detail.
In the design stage, the programming language and the hardware and software platform in
which the new system will run are also decided.
There are several tools and techniques used for describing the system design of the
system. These tools and techniques are:
• Flowchart
• Data flow diagram (DFD)
• Data dictionary
• Structured English
• Decision table
• Decision tree
Each of the above tools for designing will be discussed in detailed in the next lesson. The
system design involves:
i. Defining precisely the required system output
ii. Determining the data requirement for producing the output
iii. Determining the medium and format of files and databases
iv. Devising processing methods and use of software to produce output
v. Determine the methods of data capture and data input
vi. Designing Input forms
vii. Designing Codification Schemes
viii. Detailed manual procedures
ix. Documenting the Design
(6) Coding:
The system design needs to be implemented to make it a workable system. This demands
the coding of design into computer understandable language, i.e., programming language.
This is also called the programming phase in which the programmer converts the
program specifications into computer instructions, which we refer to as programs. It is an
important stage where the defined procedures are transformed into control specifications
by the help of a computer language. The programs coordinate the data movements and
control the entire process in a system. It is generally felt that the programs must be
modular in nature. This helps in fast development, maintenance and future changes, if
required.
(7) Testing:
Before actually implementing the new system into operation, a test run of the system is
done for removing the bugs, if any. It is an important phase of a successful system. After
codifying the whole programs of the system, a test plan should be developed and run on a
given set of test data. The output of the test run should match the expected results.
Sometimes, system testing is considered a part of implementation process. Using the test
data following test run are carried out:
• Program test
• System test

Program test: When the programs have been coded, compiled and brought to working
conditions, they must be individually tested with the prepared test data. Any undesirable
happening must be noted and debugged (error corrections)
System Test: After carrying out the program test for each of the programs of the system
and errors removed, then system test is done. At this stage the test is done on actual data.
The complete system is executed on the actual data. At each stage of the execution, the
results or output of the system is analysed.
During the result analysis, it may be found that the outputs are not matching the expected
output of the system. In such case, the errors in the particular programs are identified and
are fixed and further tested for the expected output. When it is ensured that the system is
running error-free, the users are called with their own actual data so that the system could
be shown running as per their requirements.
(8) Implementation:
After having the user acceptance of the new system developed, the implementation phase
begins. Implementation is the stage of a project during which theory is turned into
practice. The major steps involved in this phase are:
• Acquisition and Installation of Hardware and Software
• Conversion
• User Training
• Documentation
The hardware and the relevant software required for running the system must be made
fully operational before implementation. The conversion is also one of the most critical
and expensive activities in the system development life cycle. The data from the old
system needs to be converted to operate in the new format of the new system. The
database needs to be setup with security and recovery procedures fully defined.
During this phase, all the programs of the system are loaded onto the user‟s computer.
After loading the system, training of the user starts. Main topics of such type of training
are:
• How to execute the package
• How to enter the data
• How to process the data (processing details)
• How to take out the reports
After the users are trained about the computerized system, working has to shift from
manual to computerized working. The process is called „Changeover‟. The following
strategies are followed for changeover of the system.
(i) Direct Changeover: This is the complete replacement of the old
system by the new system. It is a risky approach and requires comprehensive system
testing and training.

(ii) Parallel run: In parallel run both the systems, i.e., computerized and manual, are
executed simultaneously for certain defined period. The same data is processed by both
the systems. This strategy is less risky but more expensive because of the following:
• Manual results can be compared with the results of the computerized system.
• The operational work is doubled.
• Failure of the computerized system at the early stage does not affect the working of the
organization, because the manual system continues to work, as it used to do.
(iii) Pilot run: In this type of run, the new system is run with the data from one or more
of the previous periods for the whole or part of the system. The results are compared with
the old system results. It is less expensive and risky than parallel run approach. This
strategy builds the confidence and the errors are traced easily without affecting the
operations.
The documentation of the system is also one of the most important activity in the system
development life cycle. This ensures the continuity of the system. There are generally
two types of documentation prepared for any system. These are:
• User or Operator Documentation
• System Documentation
The user documentation is a complete description of the system from the users point of
view detailing how to use or operate the system. It also includes the major error messages
likely to be encountered by the users. The system documentation contains the details of
system design, programs, their coding, system flow, data dictionary, process description,
etc. This helps to understand the system and permit changes to be made in the existing
system to satisfy new user needs.
(9) Maintenance:
Maintenance is necessary to eliminate errors in the system during its working life and to
tune the system to any variations in its working environments. It has been seen that there
are always some errors found in the systems that must be noted and corrected. It also
means the review of the system from time to time. The review of the system is done for:
• l knowing the full capabilities of the system
• l knowing the required changes or the additional requirements
• l studying the performance.
If a major change to a system is needed, a new project may have to be set up to carry out
the change. The new project will then proceed through all the above life cycle phases.
Types of System
1. • Physical or Abstract System
• Physical – These are tangible entities that may be static or dynamic in operation.
For example- parts of a computer center are the desks, chairs etc. that facilitate
operation of the computer. They are static and a programmed computer is dynamic.

Continued…
• Abstract System – These are conceptual or non physical entities. For example- the
abstract conceptualization of physical situations. A model is a representation of a
real or planned system. A model is used to visualize relationships.
2. Deterministic or Probabilistic System
• Deterministic System – It operates in a predictable manner and the interaction between
parts is known with certainty. For example: Two molecules of hydrogen and one
molecule of oxygen makes water.
• Probabilistic System – It shows probable behavior. The exact output is not known. For
example: weather forecasting, mail delivery.
3. Social, Human Machine, Machine System
• Social System- It is made up of people. For example: social clubs, societies
• Human Machine System- When both human and machines are involved to
perform a particular a particular task to achieve a target. For example:- Computer.
• Machine System- Where human interference is neglected. All the tasks are performed
by the machine. Natural and Manufactured
• Natural System- The system which is natural. For example- Solar system, Seasonal
System.
• Manufactured System- System made by man is called manufactured system. For
example- Rockets, Dams, Trains. Permanent or Temporary System
• Permanent System- Which persists for long time. For example- policies of business.
• Temporary System- Made for specified time and after that they are dissolved. For
example- setting up DJ system.
4. Adaptive and Non Adaptive System
• Adaptive System- respond to change in the environment in such a way to improve their
performance and to survive. For example- Human beings, animals.
• Non Adaptive System-The system which doesn‟t respond to the environment. For
example- Machines Continued…
• Open System – It has many interfaces with its environment. It interacts across its
boundaries, it receives inputs from and delivers outputs to the outside world. It must
adapt to the changing demands of the user.
• Closed System – It is isolated from the environmental influences. A completely
closed system is rare.
Characteristics of Open Systems
• Input from outside- Open systems are self
adjusting and self regulating. When
functioning properly open system reaches
a steady state or equilibrium.
• Entropy- Dynamic systems run down over time resulting in loss of energy or entropy.

Open systems resist entropy by seeking new input or modifying the processes to
return to a steady state.
• Process, output and cycles- Open system produce useful output and operate in
cycles, following a continuous flow path.
• Differentiation- They have a tendency toward an increasing specialization of
functions and a greater differentiation of their components. For example the role of
machines and people tend toward greater specialization and greater interaction.
• Equifinality- Goals are achieved through differing courses of action and a variety of
paths.
5. Man Made Information Systems
• Information System may be defined as a set of devices, procedures, and
operating systems designed around user based criteria to produce information and
communicate it to the user for planning, control and performance.
Formal Information Systems
• It is based on the organization represented by organization chart.
• The chart is a map of positions and their authority relationships, indicated by boxes
and connected by straight lines.
Categories of Information
• Strategic Information- relates to ling range planning policies that are direct interest to
upper management and for long range goals. For example- population growth, trends in
financial investment, human resources.
• This information is achieved with the aid of DSS.
• Managerial Information- It is of direct use to middle management and department heads
for implementation and control. For example- sales analysis, cash flow projections, and
annual financial statements.
• This information is of use in short and intermediate range planning- i.e. months rather
than years.
• It is maintained with the help of MIS.
• Operational Information- It is short term, daily information used to operate
departments and to enforce the day to day rules and regulations of the business. For
example- daily employee absence sheets, overdue purchase orders, current stock.
• It is established by data processing systems. Informal Information Systems
• It is an employee based system designed to meet personnel and vocational needs and to
help solve, work related problems.
Computer Based Information System
• It relies on computer for handling business applications.

Computer System Design
System Design
Based on the user requirements and the detailed analysis of the existing system, the new
system must be designed. This is the phase of system designing. It is the most crucial
phase in the developments of a system. The logical system design arrived at as a result of
systems analysis is converted into physical system design. Normally, the design proceeds
in two stages:
· Preliminary or General Design
· Structured or Detailed Design
Preliminary or General Design: In the preliminary or general design, the features
of the new system are specified. The costs of implementing these features and the
benefits to be derived are estimated. If the project is still considered to be feasible, we
move to the detailed design stage.
Structured or Detailed Design: In the detailed design stage, computer oriented
work begins in earnest. At this stage, the design of the system becomes more structured.
Structure design is a blue print of a computer system solution to a given problem having
the same components and inter-relationships among the same components as the original
problem. Input, output, databases, forms, codification schemes and processing
specifications are drawn up in detail. In the design stage, the programming language and
the hardware and software platform in which the new system will run are also decided.
There are several tools and techniques used for describing the system design of the
system. These tools and techniques are:
· Flowchart
· Data flow diagram (DFD)
· Data dictionary
· Structured English
· Decision table
· Decision tree
The system design involves:
1. Defining precisely the required system output
2. Determining the data requirement for producing the output
3. Determining the medium and format of files and databases
4. Devising processing methods and use of software to produce output
5. . Determine the methods of data capture and data input
6. Designing Input forms
7. Designing Codification Schemes
8. Detailed manual procedures
9. Documenting the Design

Mis notes unit 3-BBA/BCA

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Mis notes unit 3-BBA/BCA