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传统的统计数据处理工作模式采用逐级录入、审核、汇总、上报的方式进行,这种方式不仅影响了统计工作的时效性,而且环节多、流程不规范,难以保证统计数据质量。20世纪90年代以后,虽然随着统计信息化水平的提高,统计应用能力逐步增强,但是,统计数据处理依然是“网络环境单机处理、统计数据分散存放”的方式,与传统统计工作方式相比有“量”的变化,但无“质”的飞跃。“十二五”时期,国家统计局实施了
The traditional statistical data processing mode adopts the method of level entry, review, aggregation and escalation, which not only affects the timeliness of statistical work, but also has many links and the process is not standardized, which makes it difficult to guarantee the quality of statistical data. After the 1990s, although the statistical application ability gradually increased with the improvement of the level of statistical informatization, the statistical data processing was still the way of “single processing of the network environment and decentralized storage of statistical data”, which was different from the traditional statistical working methods Compared with the “volume” changes, but no “qualitative ” leap. “Twelve-Five ” period, the National Bureau of Statistics implemented