企业数据标准化处理方法及其关联因素有效性分析

Analysis of the effectiveness and related factors of standardized processing methods for enterprise data

摘要:

随着大数据时代的加速到来，企业数据呈爆炸式增长，如何开展企业数据标准化处理方法研究和企业数据关联因素有效分析，并以此为目标实现企业数据的生产要素转化和企业管理经济效益的提升，成为当前信息化企业亟需解决的关键问题之一。为此，探索企业数据的标准化处理方法和关联因素有效性分析路径。首先，基于企业运行数据来源多样化和数据量爆炸增长所带来数据标准化的客观需求，归纳出企业数据类别和标准化处理流程；然后从企业数据标准化过程和数据标准化对企业不同阶段的影响出发，设计标准化流程中企业数据应具备的各种特征属性，提出企业数据标准化因素的关联性及其定量计算的方法，并定性给出了数据标准化对企业效益的有效性影响，为实现企业数据标准化建设和信息化转型提供发展思路。

Abstract:

With the acceleration of the big data era, enterprise data is growing explosively. How to carry out research on standardized processing methods for enterprise data and effective analysis of correlation factors, and achieve the transformation of production factors of enterprise data and the improvement of economic benefits of enterprise management with this goal, has become one of the key problems that information enterprises urgently need to solve. To this end, explore standardized processing methods for enterprise data and effective analysis paths for related factors. Firstly, based on the objective demand for data standardization brought about by the diversification of data sources and the explosive growth of data volume, we summarized the enterprise data categories and standardized processing processes. Then, we designed various characteristic attributes that enterprise data should possess, and the correlation factors and their quantitative calculation methods are proposed. Data standardization can provide development ideas for achieving enterprise data standardization construction and information transformation.