面向人口洞察的手机信令数据产品质量校验方法研究

Research on Quality Verification Method of Mobile Signaling Data Products for Population Insight

随着数字化转型发展,基于脱敏后的手机信令衍生的数据产品也更加多样化,为解决其数据质量和准确性问题,提出了针对数据采集、数据处理与建模分析3个阶段的数据产品质量校验方法和质检流程,制定了17项质检关键指标,并通过案例进行了分析。结果表明,该方法可以实现用既定的规则代替主观判断,进而提高数据产品的交付质量。

With the development of digital transformation,the data products derived from desensitized mobile signaling are more diversified.In order to solve the problem of data quality and accuracy,it puts forward the data product quality verification method and quality inspection process in three stages of data collection,data processing and modeling analysis,and formulates 17 key quality inspection indicators,and analyzes them through cases.The result shows that the method can replace the subjective judgment with established rules to improve the delivery quality of data products.