Data Journey Modelling: Predicting Risk for IT Developments

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    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.
    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
    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)
    Country/TerritorySweden
    CitySkövde
    Period8/11/1610/11/16

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