Data Journey Modelling: Predicting Risk for IT Developments

Abstract : Information sharing is a vital element of a successful business. However, technological, organisational and human challenges obstruct the effective movement of data. In this paper, we analyse a collection of case studies from healthcare describing failing information systems developments. A set of 32 failing factors were extracted showing that data movement, either between systems, people or organisations, is a key indicator of IT failure. From this examination, we derived anti-patterns for data movement in which some key differences between the source and target location of the movement caused high costs to the developments. Finally, we propose data journey modelling as a lightweight technique that captures the movement of data through complex networks of people and systems, with the aim of improve go/no-go decision making for new IT developments, based on the anti-patterns we have identified.
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Jennifer Horkoff; Manfred A. Jeusfeld; Anne Persson. 9th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2016, Skövde, Sweden. Springer International Publishing, Lecture Notes in Business Information Processing, LNBIP-267, pp.72-86, 2016, The Practice of Enterprise Modeling 〈10.1007/978-3-319-48393-1_6〉
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Iliada Eleftheriou, Suzanne Embury, Andrew Brass. Data Journey Modelling: Predicting Risk for IT Developments. Jennifer Horkoff; Manfred A. Jeusfeld; Anne Persson. 9th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2016, Skövde, Sweden. Springer International Publishing, Lecture Notes in Business Information Processing, LNBIP-267, pp.72-86, 2016, The Practice of Enterprise Modeling 〈10.1007/978-3-319-48393-1_6〉. 〈hal-01653525〉

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