11. It is thus an aggregative process of data analysis, and should produce measures which are capable of analysis by standard statistical methods. 12. Data analysis can be useful without databases. 13. This text therefore proposes that data analysis is followed by database implementation. 14. Data analysis can also be of interest to management as a way of understanding their organisation. 15. One of the most important techniques of data analysis described in the text is entity modelling. 16. Where data analysis differs from conventional systems analysis is that it separates the data structures from the applications which use them. 17. The objective of data analysis is to produce a flexible model which can be easily adapted as the requirements of the users change. 18. Probably the most widespread technique of data analysis is that proposed by Chen. 19. Local data analysis should also be carried out in phases. |
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