Big Data Analytics Application Model Based on Data Quality Dimensions and Big Data Traits in Public Sector

Abstract

Big data analytics (BDA) represents a new technological paradigm with its ability to extract valuable knowledge from high amounts of data.Exploring the effect of data quality dimensions (DQD) and big data traits (BDT) on BDA application is a relatively new research trend that has not been featured in the existing literature.Thus, this study was conducted to build a new model by integrating the DQD and BDT to examine the BDA application in the context of the Malaysian public sector.This study proposes that the DQD should include intrinsic, contextual, representational, and accessibility dimensions, while variety, validity, and veracity should be considered as the main characteristics of BDT.For this purpose, this study employed theory analysis on on-going research related to DQD and BDT, along with the development of the BDA application model.The proposed model would create new research fields related to DQD and BDT in the BDA domain.Finally, in line with the Public Sector Big Data (DRSA) platform initiated by the Malaysian Administrative Modernisation and Management Planning Unit (MAMPU), the new model is expected to provide a benchmark for the development and application of BDA for the Malaysian public sector.

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