Data-Driven Approach in Addressing Social Problems

Abstract

Social problems such as poverty, inequality in public services, and limited services quality require a more systematic and evidence-based approach. This study aims to analyze the role of a data-driven approach in addressing social problems and to identify its implementation challenges. The study uses a qualitative descriptive approach with data collected through semi-structured interviews with 7 informants, observation, documentation, and literature review. Data analysis applies an interactive model consisting of data reduction, data display, and conclusion drawing. The results show that the data-driven approach improves decision-making accuracy, accelerates service processes, and expands access to digital public services. Service time decreased from 3–5 days to 1–2 days after implementation. However, the study also identifies key challenges, including low data literacy and limited infrastructure integration. Therefore, improving human resource capacity, strengthening data infrastructure, and establishing effective data governance are necessary to optimize the implementation of a data-driven approach in solving social problems.