Data Analytics Readiness Model in Indonesian Government

Abstract

The development of information technology encourages the government to digitize business processes. It is generated with a large and varied volume from various data sources so that advanced data analytics (DA) is required to overcome this to support organization's data driven decision making. It's necessary to prepare DA based on DA readiness model so that the implementation of DA can run successfully. Whereas currently, there is limited study and no standard model for DA readiness. The focus of this study is to propose model readiness of implementing data analytics that is suitable in Indonesian government. The model refers to DA readiness model based on literature review on 15 papers relevant to DA readiness. Then it's verified by 7 experts. Furthermore, online survey was conducted to test the model that affects the readiness of implementing data analytics in Indonesian government. The survey results were analyzed using factor analysis. As a result, DA readiness model contains 4 dimensions, 11 factors, and 78 indicators where its dimensions consist of information system, organizational and cultural, organization structure and resource readiness. This model can describe 85% of the data analysis readiness requirements in the Indonesian government. In order to implement data analytics successfully, the government needs to improve the readiness of information systems, organizational and cultural, organizational structures, and resources.