Data Analysis for Social Innovation in the Digital Society

Abstract

The use of data to comprehend social dynamics and facilitate more precise decision-making has expanded as a result of the growth of a digital society. The purpose of this study is to examine how data analysis contributes to social innovation in a digital society. A descriptive qualitative approach is the strategy employed, and data is gathered through literature review and recording from pertinent scientific sources. The findings demonstrate that data analysis is crucial to enhancing social innovation's efficacy, especially when it comes to problem identification, program planning, execution, and assessment. Additionally, the use of digital technology improves public participation in public services, accountability, and openness. But there are still a number of issues, such as inadequate digital infrastructure, low data literacy, and unprepared human resources. To maximize the use of data in social innovation, coordinated initiatives involving infrastructure enhancement, data literacy improvement, and human resource capacity development are thus required.