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Summary Management Information System

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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. Management Information System ADL 11 6 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. Management Information System ADL 11 7 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

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Uploaded on
April 9, 2022
Number of pages
78
Written in
2021/2022
Type
Summary

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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
11




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.




1

, Management Information System ADL
11

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




2

, Management Information System ADL
11

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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