Technical architecture and implementation of decision-driven provincial government big data governance

Abstract

In the new era, government data has undergone tremendous changes in terms of form and generation mechanism, presenting multi-modality, huge volume, complex structure, and time series evolution, which has brought new challenges to traditional governance.This paper takes provincial government big data governance as the starting point, and mainly includes three aspects: (1) analyzed the technical framework and bottlenecks of traditional provincial government big data governance; (2) based on the government decision-making scenario, proposed a decisiondriven provincial government big data governance technology architecture (called Fengxiang model), introduced its components, design principles, overall architecture, and demonstrated its feasibility; (3) aiming at the four key business issues and key technical issues in the technical framework of Fengxiang model, further proposed targeted technical implementation ideas to provide a reference for the construction of follow-up governance projects in various provinces and cities and the research and selection of related technical routes.

Keywords

• government big data;data governance;decision making;complex structure