Hidayah Sulaiman ¹, Maryana Abdullah Maamuom ²

Affiliations
1 Universiti Tenaga Nasional, Jalan Ikram-Uniten, 43000 Kajang, Selangor, MY
2 Tenaga Nasional Berhad, Jalan Bangsar 59200, Kuala Lumpur

Abstract

As the world embraces and welcomes emerging technologies in managing businesses through big data initiatives and Internet of Things (IoT), one important aspect still remains and that is the data collated and analyzed. Data is no doubt an essential asset that has contributed to the success of this new approach, however, businesses and enterprises regardless of their size will need to ensure that their data is of high quality and reliable. Previous studies have indicated that huge investments are being made to collate and capture business data, however, the quality of data being captured and stored in many systems across the organization failed to address the issue of quality and reliability. There is a significant gap in the literature in ensuring that the business data are being properly managed and governed. With the introduction of data analytics embedded into the various facets of the organization’s operations, the data governance aspect becomes more critical. An interpretivist qualitative case study was conducted in one of Malaysia’s leading electricity utility company, which uses an Enterprise Resource Planning (ERP) solution to address the organization’s business needs in relation to operational data. In-depth interviews were conducted in obtaining insights on the issues of data management and governance. As a result, a comprehensive enterprise data governance framework for the success of ERP is being considered to serve as a guideline for utility companies implementing Enterprise Data Governance.

Keywords

Data Governance, Determinants, Enterprise Resource Planning (ERP), Success, Utility

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