loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock
Resolving the Misconceptions on Big Data Analytics Implementation through Government Research Institute in Malaysia

Topics: Big Data Algorithm, Methodology, Business Models and Challenges; Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks; Proofs-of-concepts and Large-scale Experiments; Volume, Velocity, Variety, Veracity and Value

Authors: Mohammad Fikry Abdullah ; Mardhiah Ibrahim and Harlisa Zulkifli

Affiliation: National Hydraulic Research Institute of Malaysia (NAHRIM), Malaysia

Keyword(s): Big Data Analytics, Data Management, Misconception, Advanced Analytics.

Abstract: Evolution and growth of data exclusively in Government sector should be an added advantage for the Government to increase the service delivery to the public. Big Data Analytics (BDA) is one of the most advanced technologies to analyse data owned by the Government to explore other fields, or new opportunities that can bring benefits to the Government. Although BDA concept has been implemented by many parties, there exists a number of misconceptions related to the concept from the aspect of understanding and implementation of the project. National Hydraulic Research Institute of Malaysia (NAHRIM) as one of the four agencies that have been implemented Malaysia’s BDA Proof-of-Concept (POC) initiative is no exception to these misconceptions. In this paper, we will discuss the misunderstandings and challenges faced throughout our BDA project, in encouraging and increasing the awareness of the implementation of BDA in Government sector.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.117.94.92

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Abdullah, M. F., Ibrahim, M. and Zulkifli, H. (2017). Resolving the Misconceptions on Big Data Analytics Implementation through Government Research Institute in Malaysia. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-245-5; ISSN 2184-4976, SciTePress, pages 261-266. DOI: 10.5220/0006293902610266

@conference{iotbds17,
author={Mohammad Fikry Abdullah and Mardhiah Ibrahim and Harlisa Zulkifli},
title={Resolving the Misconceptions on Big Data Analytics Implementation through Government Research Institute in Malaysia},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2017},
pages={261-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006293902610266},
isbn={978-989-758-245-5},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Resolving the Misconceptions on Big Data Analytics Implementation through Government Research Institute in Malaysia
SN - 978-989-758-245-5
IS - 2184-4976
AU - Abdullah, M.
AU - Ibrahim, M.
AU - Zulkifli, H.
PY - 2017
SP - 261
EP - 266
DO - 10.5220/0006293902610266
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic