ESTABLISHMENT OF BIG DATA ANALYTICS APPLICATION MODEL FOR MALAYSIAN PUBLIC SECTOR: AN EXPERT VALIDATION

Abstract

These days, Big Data (BD) and Big Data Analytics (BDA) applications have increased intensively among public and private organisations. Most organisations are aware that BDA has an enormous potential in aiding them to better understand their business environments and their customers’ needs. Nevertheless, many organisations have yet to implement BD as they are concerned that poor quality of data will have an adverse impact on establishing worthful insight, and leading to severe mistakes during their decision-making process. In addition, the different BD characteristics or traits could affect data quality. Therefore, to determine the value of data generated from BD, the collected data must be analysed for accuracy and quality. This paper aims to present findings to better understand quality requirements for BDA implementation in the public sector, specifically in Malaysia. This study explored the influence of Data Quality Dimensions (DQD) on BDA application, identified the influence of Big Data Traits (BDT) on DQD, and evaluated the integration of BDT and DQD in BDA applications using expert validation approach. A conceptual model that incorporates DQD and BDT for BDA application in the public sector was proposed as the study outcome. The conceptual model was developed based on eight BDT (variety, velocity, veracity, validity, volume, value, volatility, and variability) and four data quality categories (intrinsic, contextual, representational, and accessibility). The expert validation results showed that five out of eight BDT are important. The outcomes from this study would deliver important knowledge to the current body of studies that may prove useful for potential use in the future.

ACKNOWLEDGMENTS

The authors would like to thank the Centre for Research and Innovation Management, Universiti Pertahanan Nasional Malaysia, for supporting this research under the Short-Term Research Grant, code UPNM/2018/GPJP/2/TK/5.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Zam Zarina Abdul Jabar

Zam Zarina Abdul Jabar is PhD candidate in the Faculty of Defence Science and Technology at Universiti Pertahanan Nasional Malaysia. She has received Bachelor of Computer Science (2000) from Universiti Putra Malaysia and Master of Science in Information Technology (2005) from Universiti Teknologi MARA. Her interests lie in Big Data Analytics implementation.

Muslihah Wook

Muslihah Wook received her PhD in Information Science from Universiti Kebangsaan Malaysia in 2017, Master of Computer Science from Universiti Putra Malaysia in 2004, and Bachelor of Information Technology (Hons) from Universiti Utara Malaysia in 2001. Her research interests include big data analytics and data mining applications in various domain particularly in education, security and defence. Currently she is working as a Senior Lecturer at Department of Computer Science, Faculty of Defence Science and Technology, National Defence University of Malaysia. She has become members of International Association of Computer Science and Information Technology (IACSIT) and Institute of Research Engineers and Doctors (IRED) since 2011 and 2013 respectively. Recently, she has been appointed as a technical reviewer of Education and Information Technologies and Journal of Big Data—Springer journals indexed by ISI and Scopus (Q1), and other outstanding journals as well.

Omar Zakaria

Omar Zakaria holds Bachelor of Computer Science (Honours) from University of Malaya (UM), Kuala Lumpur in 1994, Master of Information Security in 1996 and PhD in Information Security Management in 2007 which both degrees from Royal Holloway, University of London, Egham, Surrey, England. He used to be a lecturer and then a senior lecturer at Faculty of Computer Science & Information Technology, UM from 1996 until 30th June 2010. On 1st July 2010, he joined the National Defence University of Malaysia as an Associate Professor and then has been promoted as a full Professor in 15^th June 2016. He has published more than 100 papers in the related area. He had secured several research grants which accumulated more than a million ringgit. He has been invited as a speaker in several international conference and serving as a reviewer for several conferences and journal papers. In addition, he is involving with information security management system (ISMS) audit.

Suzaimah Ramli

Suzaimah Ramli was born in Temerloh Pahang. She received her PhD in Electrical, Electronic and System Engineering from Universiti Kebangsaan Malaysia in 2011, Master of Computer Science from Universiti Putra Malaysia in 2001, and Bachelor of Information Technology (Hons) from Universiti Utara Malaysia in 1997. Her research interests include image processing and artificial intelligence applications in various domain particularly in education, security and defence. Currently she is working as an Associate Professor at Department of Computer Science, Faculty of Defence Science and Technology, National Defence University of Malaysia. She is a member of Malaysia Board of Technologist and Informatics Intelligence Special Interest Group, UPNM. She has published and presented most of her research findings to various international conferences and articles in many international journals specifically in her research niche.

Noor Afiza Mat Razali

Noor Afiza Mat Razali holds a Bachelor’s Degree in Computer and Information Engineering, Master of Science in Computer Science and PhD of Science in Computer Science from Japanese Universities. Afiza is an Associate Professor at Faculty of Defence Science and Technology in National Defence University of Malaysia. Afiza also appointed as a visiting lecturer and fellow at Management and Science University Malaysia and Fellow at the Malaysia National Professor Council. Afiza research and expertise are in the area of cybersecurity, disaster management system, big data analytics, human-computer interaction, artificial intelligence, robotics and blockchain technology. Afiza is also a professional technologist, a recognition given by Malaysia Board of Technologist and appointed as the expert review for Malaysian Board of Technologist and Ministry of Science, Technology and Innovation (MOSTI) Grand Challenge. Prior joining the university as an academician, Afiza was in the IT industry with 10 years of working experience in multiple international corporations focusing on IT solution implementations, operation support and project management involving stakeholders in Malaysia, Japan, United States, European countries etc.