A Data-based Guiding Framework for Digital Transformation

Date
2021
Authors
Maamar, Zakaria
Cheikhrouhou, Saoussen
Elnaffar, Said
Journal Title
Journal ISSN
Volume Title
Publisher
CEUR-WS
Abstract
This paper presents a framework for guiding organizations initiate and sustain digital transformation initiatives. Digital transformation is a long-term journey that an organization embarks on when it decides to question its practices in light of management, operation, and technology challenges. The guiding framework stresses out the importance of data in any digital transformation initiative by suggesting 4 stages referred to as collection, processing, storage, and dissemination. Because digital transformation could impact different areas of an organization for instance, business processes and business models, each stage suggests techniques to expose data. 2 case studies are adopted in the paper to illustrate how the guiding framework is put into action. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Description
This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in CEUR Workshop Proceedings (2021), available online at: http://ceur-ws.org/Vol-3067/paper11.pdf
Keywords
Data, Digital transformation, Framework, Guideline
Citation
Maamar, Z., Cheikhrouhou, S., & Elnaffar, S. (2021). A data-based guiding framework for digital transformation. Paper presented at the CEUR Workshop Proceedings, 3067, 116-126. http://ceur-ws.org/Vol-3067/paper11.pdf