DATA
The term data means groups of information that represent the qualitative or
quantitative attributes of a variable or set of variables. Data (plural of "datum",
which is seldom used) are typically the results of measurements and can be the
basis of graphs, images, or observations of a set of variables. Data are often viewed
as the lowest level of abstraction from which information and knowledge are
derived. In discussions of problems in geometry, mathematics, engineering, and so
on, the terms givens and data are used interchangeably. Also, data is a
representation of a fact, figure, and idea. Such usage is the origin of data as a
concept in computer science: data are numbers, words, images, etc., accepted as
they stand. Data is now often treated as a singular mass noun in informal usage,
but usage in scientific publications shows a divide between the United
States and United Kingdom. In the United States the word data is sometimes used
in the singular, though scientists and science writers more often maintain the
traditional plural usage. Some major newspapers such as the New York Times use it
alternately in the singular or plural. In the New York Times the phrases "the survey
data are still being analyzed" and "the first year for which data is available" have
appeared on the same day. In scientific writing data is often treated as a plural, as
in These data do not support the conclusions, but many people now think of data
as a singular mass entity like information and use the singular in general usage.
British usage now widely accepts treating data as singular in standard
English, including everyday newspaper usage at least in non-scientific use. UK
scientific publishing still prefers treating it as a plural. Some UK university style
guides recommend using data for both singular and plural use and some
recommend treating it only as a singular in connection with computers.
Raw data refers to a collection of numbers, characters, images or other outputs
from devices to convert physical quantities into symbols, that are unprocessed.
Such data is typically further processed by a human or input into
a computer, stored and processed there, or transmitted (output) to another human
or computer (possibly through a data cable). Raw data is a relative term; data
processing commonly occurs by stages, and the "processed data" from one stage
may be considered the "raw data" of the next.
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Information
Information as a concept has many meanings, from everyday usage to technical
settings. The concept of information is closely related to notions of constraint,
communication, control, data, form, instruction, knowledge, meaning, mental
stimulus, pattern, perception, and representation.
The English word was apparently derived from the Latin accusative form
(informationem) of the nominative (informatio): this noun is in its turn derived
from the verb "informare" (to inform) in the sense of "to give form to the mind",
"to discipline", "instruct", "teach": "Men so wise should go and inform their
kings." (1330) Inform itself comes (via French) from the Latin verb informare, to
give form to, to form an idea of. Furthermore, Latin itself already contained the
word informatio meaning concept or idea, but the extent to which this may have
influenced the development of the word information in English is unclear.
Information is the state of a system of interest. Message is the information
materialized.
Information is a quality of a message from a sender to one or more receivers.
Information is always about something (size of a parameter, occurrence of an
event, value, ethics, etc). Viewed in this manner, information does not have to be
accurate; it may be a truth or a lie, or just the sound of a falling tree. Even a
disruptive noise used to inhibit the flow of communication and create
misunderstanding would in this view be a form of information. However, generally
speaking, if the amount of information in the received message increases, the
message is more accurate.
Even though information and data are often used interchangeably, they are actually
very different. Data is a set of unrelated information, and as such is of no use until
it is properly evaluated. Upon evaluation, once there is some significant relation
between data, and they show some relevance, then they are converted into
information. Now this same data can be used for different purposes. Thus, till the
data convey some information, they are not useful and therefore not information.
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Meaning of data, information and knowledge
The terms information and knowledge are frequently used for overlapping
concepts. The main difference is in the level of abstraction being considered. Data
is the lowest level of abstraction, information is the next level, and finally,
knowledge is the highest level among all three. Data on its own carries no
meaning. In order for data to become information, it must be interpreted and take
on a meaning. For example, the height of Mt. Everest is generally considered as
"data", a book on Mt. Everest geological characteristics may be considered as
"information", and a report containing practical information on the best way to
reach Mt. Everest's peak may be considered as "knowledge".
Information as a concept bears a diversity of meanings, from everyday usage to
technical settings. Generally speaking, the concept of information is closely related
to notions of constraint, communication, control, data, form, instruction,
knowledge, meaning, mental stimulus, pattern, perception, and representation.
It is people and computers who collect data and impose patterns on it. These
patterns are seen as information which can used to enhance knowledge. These
patterns can be interpreted as truth, and are authorized as aesthetic and ethical
criteria. Events that leave behind perceivable physical or virtual remains can be
traced back through data. Marks are no longer considered data once the link
between the mark and observation is broken. In other words, when an occurrence
leaves perceivable marks, those marks attain the status of data.
In many a case, the business organizations started as a one-man show but with the
passage of time, their size has increased manifold. Although the functions
performed are basically the same, the volume and complexity of operations have
increased geometrically. As With all growing companies, new products are
developed, Sales volume grows, the number of employees increased, factors
outside the company become increasingly complex, and the managerial problems
surrounding the operation of the organization generally expand more rapidly than
the company size. Communications channels are more difficult, authority must be
delegated and information needs expand. The increase in company size results in
the need for additional information collection, processing and distribution. It now
becomes necessary to handle many customer accounts, many production records,
and many more interrelation- ships among functions. In addition, it becomes
necessary to assign people to supervise other people
Content preview
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Management Information System
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Amity Center for eLearning
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ADL 11
AMITY UNIVERSITY
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, Management Information System ADL
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Preface
Information Systems (IS) enables new approaches to improve efficiency and
efficacy of business models. This course will equip the students with
understanding of role, advantages and components of an Information System.
The objective of the course is to help students integrate their learning from
functional areas, decision making process in an organization and role of
Information Systems to have a vintage point in this competitive world.
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, Management Information System ADL
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Updated Syllabus
Course Contents:
Module I
Role of data and information, Organization structures, Business Process, Systems Approach and
introduction to Information Systems.
Module II
Resources and components of Information System, integration and automation of business functions and
developing\ business models. Classification of Information System
Module III
Architecture, development and maintenance of Information Systems, Centralized and Decentralized
Information Systems, Factors of success and failure, value and risk of IS.
Module IV
Decision Making Process, Decision Support Systems, Models and approaches to DSS
Module V
Introduction to Total Quality Management and Enterprise Resource Planning. ERP: role, advantages,
reasons of success and failure,
Module VI
Financial Management Information Systems in Developing Countries by International Monetary Fund
Text & References:
Text:
MIS: Managing the digital firm, Kenneth C.Landon, Jane P. Landon, Pearson Education.
References:
Management Information Systems, Effy OZ, Thomson Leaning/ Vikas Publications
Management Information Systems, James A. O’Brein, Tata McGraw-Hill
Management Information System, W.S Jawadekar, Tata Mc Graw Hill Publication.
Management Information System, David Kroenke, Tata Mc Graw Hill Publication.
MIS: Management Perspective, D.P. Goyal, Macmillan Business Books.
MIS and Corporate Communications, Raj K. Wadwha, Jimmy Dawar, P. Bhaskara Rao, Kanishka
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Index
Module I - page no. 4
Role of data and information, Organization structures, Business Process, Systems
Approach and introduction to Information Systems.
Module II - page no. 35
Resources and components of Information System, integration and automation of
business functions and developing\ business models. Classification of Information
System
Module III - page no. 61
Architecture, development and maintenance of Information Systems, Centralized and
Decentralized Information Systems, Factors of success and failure, value and risk of IS.
Module IV - page no. 77
Decision Making Process, Decision Support Systems, Models and approaches to DSS
Module V - page no.118
Introduction to Total Quality Management and Enterprise Resource Planning. ERP: role,
advantages, reasons of success and failure,
Module VI - page no. 135
Financial Management Information Systems in Developing Countries by International
Monetary Fund
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