Data Journey Modelling: Predicting Risk for IT Developments

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 antipatterns
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.

Bibliographical metadata

Original languageEnglish
Title of host publicationProceedings of the 9th IFIP WG 8.1 Working Conference on The Practice of Enterprise Modeling (PoEM)
DOIs
Publication statusPublished - 28 Oct 2016
Event9th IFIP WG 8.1 Working Conference on The Practice of Enterprise Modeling (PoEM) - Skövde, Sweden
Event duration: 8 Nov 201610 Nov 2016

Publication series

Name Lecture Notes in Business Information Processing
PublisherSpringer
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference9th IFIP WG 8.1 Working Conference on The Practice of Enterprise Modeling (PoEM)
CountrySweden
CitySkövde
Period8/11/1610/11/16

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