* * * * * Reviewed books have a 1 to 5 star rating. * * * * *
With the Amazon links, where (as at July 2001) there is a choice of hardback or paperback we have given the paperback reference. The link ISBN ref. and publisher may differ from that given under the book review. Any discount sticker on the book cover image may only refer to Amazon.com or co.uk and not both.
Strategic Data Planning Methodologies ****James Martin, 1982, Prentice Hall.ISBN 0-13-851113-6 I think James Martin was the first person to apply component based development to writing books. Often later books would have whole chunks from his previous books, as well as extracts from his course and videos. Perhaps this partly accounts for his prolific writing (28 books by 1982), his books being a staple diet of those of use brought up with computing in the 70s. I had a number of his earlier tomes, but being highly prized they went walk abouts. By way of some contrast, this Strategic Data Planning Methodologies book is a slim volume of just 200 or so pages. It's all about data modelling and building enterprise models, and whilst the latter may be out of fashion, the former is still relevant, even in these days of object data modelling. Well structured and written, with plenty of diagrams (as always with JM), it is very much a practitioners book. It covers project organisation, and of course data analysis, both at a high-level coarse grain level and at a detailed fine grain modelling level. The former introduces the idea of subject data models (SDM) - collections of related entities and relations. SDM provide a far more manageable level of detail for undertaking the enterprise modelling and deriving a IT Architecture and Strategy. It does this by grouping the SDM according to data activity, and then determining implementation dependencies. The chapter on IBM's Business Systems Planning methodology reminds us that business process analysis was a concept developed in the 70s. Further chapters cover Entity-Relationship analysis and Entity-Activity analysis. The chapter on Functional analysis makes the case for avoiding an over emphasis on the as-is situation, and engaging top management in the future to-be processes to achieve new corporate objectives - shades of Michael Hammer and BPR in 1982! Much is illustrated by using a mythical dialogue between a data analyst, team leader, executive, and strategy consultant. Again, thinking ahead, Martin has a chapter on distributed data based on both qualitative and quantitative analysis*. The book concludes by outlining a Strategic Planning Process based on parallel streams of Process and Data analysis, something this author practices to this very day. *This author was particularly pleased to see the latter, having just build his own case tool to perform dynamic process modelling as part of an enterprise wide modelling project. Written in dbase it ran on the company's first PC, an Osborne 1. |
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RAD + + ***Bob Bowman, 1997, Antares Alliance Group.ISBN none, private publication
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Designing Human Systems for Health
Care
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