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An information system is comprised of all the components that collect, manipulate, and disseminate data or information. It usually includes hardware, software, people, communications systems, and the data itself. The activities involved include inputing data, processing of data into information, storage of data and information, and the production of outputs such as management reports.
The area of study should not be confused with Computer Science which is more theoretical and mathematical in nature or with Computer Engineering which is more engineering.
The study of Information Systems is usually a commerce and business administration discipline, and frequently involves software development, but also distinguishes itself by concentrating on the integration of computer systems with the aims of the organization.
In business, information systems support business processes and operations, support decision making, and support competitive strategies.
The business processes and operations support function is the most basic. It involves collecting, recording, storing, and basic processing of data. Information systems support business processes and operations by:
The business decision making support function goes one step further. It is an integral part of making decisions. It allows users to ask “What if . . . ?” questions : What if we increase the price by 5%? ; What if we increase price by 10%? ; What if we decrease price by 5%? ; What if we increase price by 10% now, then decrease it by 5% in three months? It also allows users to deal with contingencies : If Inflation increases by 5% (instead of 2% as we are assuming), then what do we do? What do we do if we are faced with a strike or a new competitive threat?
The most basic and most versatile business decision making tool is the spreadsheet, but spreadsheets are not user friendly. More sophisticated programs often seamlessly incorporate statistical decision making tools like sensitivity analysis, Monte Carlo analysis, risk analysis, break even analysis and Bayesian analysis. If, for example, you are using the information system to decide about a new product introduction, the program should incorporate tools like logit analysis, B.C.G. Analysis, conjoint analysisConjoint analysis also called multiattribute compositional models, is a statistical technique that originated in mathematical psychology. Today it is used in many of the social sciences and applied sciences including marketing, product management, and ope, contribution margin analysisContribution margin analysis is a technique used in brand marketing and product management to help a company decide what product(s) to add to its product portfolio. The manager asks what will happen to profits if a new product is added or an existing prod, multi dimensional scaling, G.E. Multi Factoral analysis, factor analysisFactor analysis is a statistical technique that originated in mathematical psychology. It is used in the social sciences and in marketing, product management, operations research, and other applied sciences that deal with large quantities of data. The obj, cluster analysis, discriminant analysis, Quality Function Deployment, preference regressions, and preference-rank translations.