基于战略匹配成熟度的企业大数据战略实施研究

通过引入战略匹配成熟度概念,构建了企业大数据建设及应用水平提升路径的系统动力学模型,并对企业大数据建设及应用水平提升路径和关键影响因素作用进行了模拟。利用模拟结果对企业大数据战略实施评价,总结企业大数据战略在不同周期、不同成熟度级别的关键过程域和目标,确定不同级别贡献度指标,并对企业整个大数据体系进行关键元素分析,让企业能更清晰地知道自身当前大数据建设及应用水平所处的发展位置及改进方法,从而保证大数据战略与企业战略的良好匹配,特别是为后疫情时代企业的大数据建设和应用水平的快速科学提升提供了规范的理论和实证解释。

Research on the Implementation of Enterprise Big Data Strategy Based on Strategy Matching Maturity

In the process of operation and management,enterprises must consider how to adjust the internal structure to adapt to the enterprise's big data strategy and external market environment,so as to better implement the enterprise strategy and obtain a longer-term competitive advantage.This study aims to realize the functional integration of big data strategy and enterprise strategic planning by introducing the concept of strategic matching maturity.System dynamics was used to simulate the influence factors of pipe diameter and lifting path from two aspects of data verification and empirical support.The simulation results are used to evaluate the implementation of the enterprise big data strategy,summarize the key process areas and objectives of the enterprise big data strategy in different periods and different maturity levels,determine the contribution index of different levels,and analyze the key elements of the whole big data system of the enterprise,so that the enterprise can know more clearly the development position of the enterprise's current big data construction and application level How to improve,so as to ensure the good matching degree of big data strategy and enterprise strategy,especially for the construction of big data and the rapid scientific promotion of application level of enterprises in the post epidemic era provides a normative theoretical and empirical explanation.