Abstract: In the context of the “digital economy” national strategy, to provide timely, comprehensive and accurate macroeconomic information for different types of users like government departments, industries and enterprises and form a big-data-analysis-based decision-making system, government shared data of many different business fields, data structures and data sources is gathered by Jiangxi provincial information center, and a macro-economic big data analysis system is built. Combined with the traditional time series characteristics and other macro-economic characteristics which affect key indicators of social economy, a method and model database about applying economic big data in monitoring and early warning macro-economy is built on the basis of time series analysis, regression model. Furthermore, double logarithm linear regression model and ARIMA model are adopted to carray out real-time monitoring and intelligent prediction research on social economy to provide a reliable reference for macro-control and precise implementation of relevant government departments.

Key words: macroeconomic analysis, government affairs sharing, cross-source multi-dimensional data