集团数据指标管理研究与实践

数据指标管理通过有效收集、分析数据,并展示观测到的数据趋势,帮助集团更好地优化企业运营,实现数据驱动业务的目标。本次课题围绕六大核心业务域,梳理指标管理的范围,确定指标源头和识别指标;通过专业平台工具将多源异构的数据抽取到数据分析平台,进行指标的定义、建模、固化和分析,从而建立指标体系对指标进行统一管理,对指标进行分析应用,并可视化的展示指标。数据指标管理提高了集团对数据的管理、分析和利用能力,有助于更好地改进绩效和应对市场变化。同时,集团需要组织专业人员定期监测和更新指标,以确保整个指标体系的有效性和准确性。

Data indicator management enables the group to better optimize enterprise operations and achieve data-driven business goals by effectively collecting,analyzing data,and displaying observed data trends.This project focuses on the six core business domains,sorts out the scope of indicator management,determines the source of indicators,and identifies indicators;Extract multi-source heterogeneous data to the data analysis platform through professional platform tools,define,model,solidify,and analyze indicators,establish an indicator system for unified management,analyze and apply indicators,and visually display indicators.Data indicator management has improved the group's ability to manage,analyze,and utilize data,helping to better improve performance and respond to market changes.At the same time,the group needs to organize professional personnel to regularly monitor and update indicators to ensure the effectiveness and accuracy of the entire indicator system.