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By Ulric J. Gelinas

This article prepares scholars to successfully use, deal with, and perform the improvement of data know-how functions in aid of universal enterprise procedures. Interconnections between an organization's administration, enterprise methods, info platforms and data expertise are introduced out in each one bankruptcy. one other emphasis through the textual content is the governance, keep an eye on, and defense of commercial procedures, details systems--especially underlying monetary info systems--and rising applied sciences. furthermore, the textual content facilities round 3 issues: IT options, e-business and firm structures.

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Give examples to support your position. DQ1-10 Assume that a manager can obtain information from the organization’s computer in three ways: by direct inquiry using his laptop connected to the enterprise system, by a daily paper report, and by a monthly report. Using the qualities of information discussed in this chapter (understandability, relevance, timeliness, predictive value/feedback value, neutrality/freedom from bias, comparability, consistency, validity, accuracy and completeness), compare and contrast these three sources of information.

Specialized tools produce highly professional-looking diagrams that are much easier to update and share. You may have access to one of these tools through your instructor or workplace. Reading Systems Documentation This chapter shows you how to read and interpret three types of systems documentation: data flow diagrams, systems flowcharts, and entity-relationship diagrams. We will look at data flow diagrams first. Reading Data Flow Diagrams A data flow diagram (DFD) is a graphical representation of a system.

By language, we mean native language, such as English or French, as well as technical language, such as one that might be used in physics or computer science. Information that makes excessive use of codes and acronyms may not be understandable by some decision makers. Information capable of making a difference in a decision-making situation by reducing uncertainty or increasing knowledge has relevance. For example, a credit manager making a decision about whether to grant credit to a customer might use the customer’s financial statements and credit history because that information could be relevant to the credit-granting decision.

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