Towards an Extended Enterprise Architecture Meta-Model for Big Data: A Literature-based Approach
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Towards an Extended Enterprise Architecture Meta-Model for Big Data : A Literature-based Approach. / Burmeister, Fabian; Drews, Paul; Schirmer, Ingrid.
Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018. Association for Information Systems, 2018. (Proceedings of the Americas Conference on Information Systems (AMCIS); Vol. 2018).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - Towards an Extended Enterprise Architecture Meta-Model for Big Data
T2 - Americas Conference on Information Systems - AMCIS 2018
AU - Burmeister, Fabian
AU - Drews, Paul
AU - Schirmer, Ingrid
N1 - Conference code: 24
PY - 2018/8
Y1 - 2018/8
N2 - The big data digital trend revolutionizes how enterprises conduct their business. Big data transforms how business models are created, services and products are provided, processes are optimized and IT landscapes are designed. Today, enterprise architecture (EA) models are used in many organizations to capture the complex interplay between business, organizational and IT elements in order to support strategy development, transformation and project management. Based on a literature review on big data challenges, this paper outlines necessary extensions for EA models. Following an incremental research approach, exemplary stakeholder concerns and relevant modeling elements are derived from (1) data, (2) process and (3) management challenges. On this basis, an extended EA meta-model for big data is developed.
AB - The big data digital trend revolutionizes how enterprises conduct their business. Big data transforms how business models are created, services and products are provided, processes are optimized and IT landscapes are designed. Today, enterprise architecture (EA) models are used in many organizations to capture the complex interplay between business, organizational and IT elements in order to support strategy development, transformation and project management. Based on a literature review on big data challenges, this paper outlines necessary extensions for EA models. Following an incremental research approach, exemplary stakeholder concerns and relevant modeling elements are derived from (1) data, (2) process and (3) management challenges. On this basis, an extended EA meta-model for big data is developed.
KW - Business informatics
KW - Big data
KW - Challenges
KW - Concerns
KW - Enterprise architecture
KW - Meta-model
UR - http://www.scopus.com/inward/record.url?scp=85054257324&partnerID=8YFLogxK
M3 - Article in conference proceedings
SN - 978-0-9966831-6-6
T3 - Proceedings of the Americas Conference on Information Systems (AMCIS)
BT - Americas Conference on Information Systems 2018
PB - Association for Information Systems
Y2 - 16 August 2018 through 18 August 2018
ER -