Isorg Bible

2253 Words Nov 26th, 2011 10 Pages

The objective of this guide is to facilitate the study of my friend’s level of understanding of the subject matter and at the same time provide an insight of how I view the subject and my personal understanding of the subject, in relation to the style of the examination questions.

*disclaimer* All content in this bible is either copied directly from study guide, Jack koh’s ISORG bible, internet knowledge. It is just a summary and all information are based on Jeffrey’s personal opinion/interpretation. Use is at your own risk.
Overview of this ISORG BIBLE
I’ll start of the ISORG bible with what I deemed important terms that will be used in the course of this subject. I’ll first give definitions from the subject guide as this
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Data model views the organizational problem as a bundle of data and network of processes. The data model centres on the organization’s data, data-flow paths, processes and files. Data model summarizes the business view of the data to be stored in the database and how they are accessed in the new computerised information system. (ISORG bible)
‘Data modelling is the process of defining what data is used in an information system or organization and how that data is organized. With Data model, the design of an information system is concerned mainly to optimize the data flow in the organization, and lead to new ways to produce, store, process and exchange data faster, more reliable and secure than previous practices.’
Information system
Database management system (DBMS)
A database management system (DBMS) is the interface between the application programs and the database. Whenever the application program calls for a single data file (e.g. employee gross pay), the DBMS finds the item in the database under the heading ‘payroll’ and presents it to the application program so as to relieve the end user from the burden of understanding where and how the data are stored.
Database management systems require that the organization acknowledges the strategic role of information by treating it as a corporate resource. Decision makers need concise, reliable information about current operations, trends and changes. Data, however are

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