ADiBA Big Data Adoption Framework: Accelerating Big Data Revolution 5.0

Norhayati Daut, Naomie Salim, Chan Howe, Anazida Zainal, Sharin Huspi, Masitah Ghazali, Fatimah Ahmad

2022

Abstract

Researchers have formulated the revolution of Big Data into several stages, from stage 1 using raw data until stage 5 using operational intelligence and advanced analytics is used to provide wisdom. However, for organisations to reap the values from big data adoption and implementation, they must embrace Big Data Revolution 5.0: digital acceleration. At this stage, Big Data Analytics (BDA) becomes an asset from which, businesses can get new insights and aid value creation, resulting in increased profits. BDA will play a large part in extending an organisation’s presence, which will lead to enticing possible investors and hasten global growth. In this paper, we proposed a framework that aid organisations toward big data adoption and implementation that can create the best value for the organisations. It covers the whole value chain of big data adoption and implementation from the enculturation of big data in the organisation, to business understanding, to data management and governance, to big data project planning, to data understanding, to data preparation, to procurement, to analytics modeling, data product development, evaluation of model and data product deployment, maintenance, and upgrades and inculturation of data analytics into business. The framework has been successfully used in several Malaysian organisations, government, semi-government, and private sectors.

Paper Citation

in Harvard Style

Daut N., Salim N., Howe C., Zainal A., Huspi S., Ghazali M. and Ahmad F. (2022). ADiBA Big Data Adoption Framework: Accelerating Big Data Revolution 5.0. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 549-556. DOI: 10.5220/0011351700003269

in Bibtex Style

@conference{data22,
author={Norhayati Daut and Naomie Salim and Chan Howe and Anazida Zainal and Sharin Huspi and Masitah Ghazali and Fatimah Ahmad},
title={ADiBA Big Data Adoption Framework: Accelerating Big Data Revolution 5.0},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={549-556},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011351700003269},
isbn={978-989-758-583-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - ADiBA Big Data Adoption Framework: Accelerating Big Data Revolution 5.0
SN - 978-989-758-583-8
AU - Daut N.
AU - Salim N.
AU - Howe C.
AU - Zainal A.
AU - Huspi S.
AU - Ghazali M.
AU - Ahmad F.
PY - 2022
SP - 549
EP - 556
DO - 10.5220/0011351700003269