research-article

Enterprise Architectures for Supporting the Adoption of Big Data

Authors:

Marijn JanssenAuthors Info & Claims

dg.o '17: Proceedings of the 18th Annual International Conference on Digital Government Research

Pages 505 - 510

https://doi.org/10.1145/3085228.3085275

Published: 07 June 2017 Publication History

Abstract

Governments from all over the world are struggling to take advantage of big data developments. Enterprise Architecture (EA) can be used as an instrument to integrate big data (BD) in the existing business processes and ICT-landscape. In this policy paper, we explore the role of EA in the adoption of BD. For this, we adopted a qualitative case study approach and investigated a large administrative organization that was in the process of adopting BD. We found in our case study that the first attempts were focused on integrating big data in the current landscape, but this encountered too many challenges that halt progress. To overcome the challenges, a separate BD department and accompanying infrastructure was created. The strategy was first to reap the benefits of BD and to understand what should be done, and thereafter integrating the working systems in the existing landscape. The findings suggest that current infrastructures might not be suitable for integrating BD and substantial changes are needed first. In the case the role of BD needed to be first clarified before EA could play a role in adopting BD. EA should deal with the uncertainties and complexities by ensuring a configurable landscape, by providing an incremental approach for adapting the infrastructure step-by-step, before the benefits of big data can be gained. Developing an incremental migration plan was found to be a key aspect for the adoption of BD.

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Cited By

Redouane A(2024)An Architectural Model for Integrating Big Data in Educational Information SystemsManagement, Tourism and Smart Technologies10.1007/978-3-031-44131-8_28(282-288)Online publication date: 4-Jan-2024
https://doi.org/10.1007/978-3-031-44131-8_28
Georgiadis GPoels G(2021)Enterprise architecture management as a solution for addressing general data protection regulation requirements in a big data context: a systematic mapping studyInformation Systems and e-Business Management10.1007/s10257-020-00500-5Online publication date: 18-Jan-2021
https://doi.org/10.1007/s10257-020-00500-5
Lopez CSegura MSantórum M(2019)Framework to Develop a Business Synergy through Enterprise ArchitectureProceedings of the 2nd International Conference on Information Science and Systems10.1145/3322645.3322668(125-129)Online publication date: 16-Mar-2019
https://dl.acm.org/doi/10.1145/3322645.3322668
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dg.o '17: Proceedings of the 18th Annual International Conference on Digital Government Research

June 2017

639 pages

ISBN:9781450353175

DOI:10.1145/3085228

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 June 2017

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dg.o '17

dg.o '17: 18th Annual International Conference on Digital Government Research

June 7 - 9, 2017

NY, Staten Island, USA

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dg.o '17 Paper Acceptance Rate 66 of 114 submissions, 58%;

Overall Acceptance Rate 150 of 271 submissions, 55%

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Cited By

Redouane A(2024)An Architectural Model for Integrating Big Data in Educational Information SystemsManagement, Tourism and Smart Technologies10.1007/978-3-031-44131-8_28(282-288)Online publication date: 4-Jan-2024
https://doi.org/10.1007/978-3-031-44131-8_28
Georgiadis GPoels G(2021)Enterprise architecture management as a solution for addressing general data protection regulation requirements in a big data context: a systematic mapping studyInformation Systems and e-Business Management10.1007/s10257-020-00500-5Online publication date: 18-Jan-2021
https://doi.org/10.1007/s10257-020-00500-5
Lopez CSegura MSantórum M(2019)Framework to Develop a Business Synergy through Enterprise ArchitectureProceedings of the 2nd International Conference on Information Science and Systems10.1145/3322645.3322668(125-129)Online publication date: 16-Mar-2019
https://dl.acm.org/doi/10.1145/3322645.3322668
Kampars JZdravkovic JStirna JGrabis J(2019)Extending organizational capabilities with Open Data to support sustainable and dynamic business ecosystemsSoftware and Systems Modeling10.1007/s10270-019-00756-7Online publication date: 18-Sep-2019
https://doi.org/10.1007/s10270-019-00756-7

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