By Rosemary Rock-Evans

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Extra resources for A Simple Introduction to Data and Activity Analysis

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X BO" is had by is _h_ad_by x y s is had by ^ has N \ Not every occurrence 'has' something. v _ is had b y ^ - h a s _ EOrcr^ ^ _ ^ r ^ "~~-^^^ has Entity x is had by~""^ — ^ Not every occurrence 'is had by' something. 39 1 have- \ All occurrences 'have' something. Only some occurrences are had by. 40 How to do Data Analysis 57 Step 4 Create an Attribute classifying the Attribute values which identified each Entity occurrence. 41. 42. 43. 44. 45. 46. 86 Invoice 8897 has been sent to ABC Tubes Invoice 8898 has been sent to High and Dry Whisky Distillers Co.

2 ANALYSIS As we have seen in the introduction, there are four methods of Data Analysis: * * * * Deriving the Data Model from Design Abstractions - such as forms and record layouts. ) Deriving the Data Model from Conceptual Occurrences Deriving the Data Model from Design Occurrences - this is the well known method of "normalisation". Throughout the rest of this chapter and the book itself, I will be using one example to demonstrate the methods. It is based on "Course Administration", and is about the activities and data needed by a training firm to organise and run its courses.

Teachers create courses 6. Company requests course (sort of course = course) 7. Sessions are on a course 8. [Sessions are worked out in outline] 9. Sessions are allocated to consultants 10. Consultants create sessions 11. Consultants can create many sessions 12. Some teachers have not created any sessions 13. {New sessions are not always created for a new course {Some sessions are re-used by a new course Implies: Sessions can be used for more than one course 14. {Some sessions may be altered for a new course {Altered sessions become new sessions Implies: that if a session is altered it becomes a new session.

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