Keywords
Big data, maturity models, telecommunication industry
Abstract
This paper presents a systematic literature review focused on Big Data Maturity Model, with a specific emphasis on its application within the telecommunications sector. It addresses two primary research questions: the models currently available for assessing Big Data Maturity and the models predominantly used within the telecommunications industry. The review reveals that several models, such as Gartner's Data Maturity Model (GDMM), IBM's Big Data & Analytics Maturity Model, The Data Warehousing Institute (TDWI's) Big Data Maturity Model, the Data Management Maturity (DMM) Model, and the Big Data Maturity Model (BDMM), are widely recognized. However, no single model has been predominantly adopted and suitable within the telecommunications sector. The paper thus identifies a need for a telecommunications-specific Big Data maturity model, and suggests further research to develop a model that addresses the unique needs and challenges of this industry.
DOI
10.33107/ijbte.2024.12.1.07
First Page
1
Last Page
13
Recommended Citation
Desku, Fatmir and Besimi, Adrian
(2024)
"A Systematic Literature Review: Big Data Maturity Model in the Telecommunication Industry,"
International Journal of Business and Technology: Vol. 12:
Iss.
2, Article 4.
DOI: 10.33107/ijbte.2024.12.1.07
Available at:
https://knowledgecenter.ubt-uni.net/ijbte/vol12/iss2/4