Document Type
Conference Proceeding
Source of Publication
CEUR Workshop Proceedings
Publication Date
1-1-2021
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.
ISSN
Volume
3067
First Page
116
Last Page
126
Disciplines
Computer Sciences
Keywords
Data, Digital transformation, Framework, Guideline
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Maamar, Zakaria; Cheikhrouhou, Saoussen; and Elnaffar, Said, "A Data-based Guiding Framework for Digital Transformation" (2021). All Works. 4829.
https://zuscholars.zu.ac.ae/works/4829
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series