A Brazilian Study On Data-Driven Public Service Readiness

Data is an engine for public sector digital transformation, whose potential is to improve social well-being and fight population’s poverty. This article aims to propose steps to improve agencies’ readiness to transform their operation model into a data-driven public service (DDPS). Therefore, explanatory research with a quantitative approach was used through structural equations to validate the model, based on data from 101 Brazilian public servants. By means of partial least squares structural equation modeling (PLS-SEM), results revealed that Operational Capacity factor (37.7%) as having the greatest impact on readiness to transition to DDPS.