Comparative and Collaborative Data Management as a Driver for Regional Competitiveness Efficiency in the Economic Development Region

Abstract

The complexity of data quality management is revealed when people, processes and technology are involved in the process. The use of regional competitiveness data is a prerequisite for the analysis of economic development area boundaries in Central Java Province. This study aims to describe and analyse how regional competitiveness is managed based on six challenges that are considered to be closely related to data management. The research method refers to a qualitative approach that tends to describe the results of analyzing using study sites in Purwomanggung Development Area, Central Java Province. Secondary data is supported by stakeholders related to the study; primary data are presented with sources from tracking regional competitiveness needs. Collecting data took four months from July to October 2022. The analysis was presented by visualising regional competitiveness data in five regions within the boundaries of Purwomanggung Economic Development Area. The study results found regional competitiveness data management based on indices, aspects and pillars for five regions in Purwomanggung Economic Development Area. The differences in regional competitiveness data management were due to the management of policy and regulatory issues, governance issues, human and behaviour issues, process and quality issues, technological issues, and cultural and organizational issues. The implications of this research place policy challenges as a key strategic process in the management of regional competitiveness data.