大数据技术在工业经济统计中的应用

Application of Big Data Technology in Industrial Economic Statistics

介绍了大数据技术具有规模性、多样性、时效性、高性能、复杂性、即时性和开放性等特征。针对大数据技术能够处理和分析海量、多样、复杂的数据的特性,列举了大数据技术在工业经济统计中的应用现状,对未来大数据技术在工业经济统计中的应用展望。未来大数据技术在工业经济统计中的应用将进一步提高数据采集和整理的效率,加强对工业经济的实时监测和预测,促进工业经济统计与其他领域的深度融合。这将为政府决策、企业发展和市场监管提供更加准确、快速和全面的数据支持,进一步推动工业经济的发展和创新。

Big data technology is introduced with the characteristics of scale,diversity,timeliness,high performance,complexity,immediacy and openness.Aiming at the characteristics of big data technology that can process and analyse massive,diverse and complex data,it lists the current status of the application of big data technology in industrial economic statistics,and looks forward to the future application of big data technology in industrial economic statistics.The future application of big data technology in industrial economic statistics will further improve the efficiency of data collection and collation,strengthen real-time monitoring and forecasting of the industrial economy,and promote the deep integration of industrial economic statistics with other fields.This will provide more accurate,rapid and comprehensive data support for government decision-making,enterprise development and market supervision,and further promote the development and innovation of the industrial economy.