基于关联分析的数据指标应用研究

Research on application of data indicators based on correlation analysis

在数字化建设过程中,数据中台的建设需要构建公司级和专业级的指标体系,以落地规范化的内容服务能力。随着业务场景分析的深入,传统的数据分析已经难以处理变量多、层次复杂的数据,并且缺乏对数据间关联关系的深刻理解,难以挖掘数据中蕴含的有价值信息。文章主要介绍了指标影响因子拆分进行指标关联分析研究的背景和研究意义,同时通过引入线损率指标因子关联规则的应用,验证了关联分析的有效性。

In the process of digital construction,the construction of a data center requires the establishment of a company level and professional level indicator system to implement standardized content service capabilities.With the deepening of business scenario analysis,traditional data analysis has become difficult to handle data with multiple variables and complex levels,and lacks a deep understanding of the relationships between data,making it difficult to mine valuable information contained in the data.The article mainly introduces the background and research significance of conducting indicator correlation analysis by splitting the influencing factors of indicators.At the same time,the effectiveness of correlation analysis is verified by introducing the application of correlation rules for line loss rate indicator factors.