How Does IT Governance Regulate the Use of Big Data as a Supplement to Statistical Data?

Abstract

This study aims to design an effective governance framework for the utilization of big data as a complement to official statistical data, while preventing new complexities in data management and utilization processes. The research employs a quantitative descriptive approach based on the COBIT 2019 framework, focusing on the governance objectives selected through the design factor process, namely EDM01 (Ensured Governance Framework Setting and Maintenance) and EDM05 (Ensured Stakeholder Engagement). The object of this research was the official statistics office in Balikpapan City, East Kalimantan, with the scope limited to governance policy design and excluding technical software or tool implementation. Data were collected through questionnaires based on the COBIT 2019 Process Assessment Model, supporting documents, and stakeholder discussions, then analyzed through design factor analysis, capability level assessment, and gap analysis. The results indicate that both EDM01 and EDM05 are currently at Capability Level 2 (Performed Process), with most activities classified as Partially Achieved and Largely Achieved, indicating that governance processes have been implemented but are not yet fully standardized and consistently managed. Based on these findings, the target state (To-Be) is set at Capability Level 3 (Defined). Recommendations include formulating Big Data governance policies, establishing governance structures, developing standard operating procedures, implementing periodic monitoring and evaluation, and strengthening stakeholder engagement and communication to support structured, integrated, and accountable big data governance.