Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download

https://hal.inria.fr/hal-01653525
Contributor : Hal Ifip <>
Submitted on : Friday, December 1, 2017 - 3:15:40 PM
Last modification on : Wednesday, January 10, 2018 - 6:08:09 PM

File

416579_1_En_6_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Iliada Eleftheriou, Suzanne Embury, Andrew Brass. Data Journey Modelling: Predicting Risk for IT Developments. 9th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2016, Skövde, Sweden. pp.72-86, ⟨10.1007/978-3-319-48393-1_6⟩. ⟨hal-01653525⟩

Share

Metrics

Record views

159

Files downloads

294