Abstract: Aiming at the problems of low data utilization rate and difficult data quality assessment,considering Chinese enterprise data governance and application requirements,in conjunction with the US RMDS laboratory,from the perspective of enterprise data application,the data science assessment dimension is creatively added,and compatible with existing mainstream assessments is proposed Enterprise data impact assessment model (DIAM) framework that is based on the model and better meets the needs of Chinese enterprises.Considering that the existing DIAM model has not yet proposed a specific and feasible evaluation method,based on the model framework research,this paper studies the evaluation method and rating strategy for the DIAM model.To carry out the research,first,this paper uses an improved analytic hierarchy process to calculate the weights of 240 evaluation indicators covering the four dimensions of the DIAM model,covering the three dimensions of data top-level design,data science,and data management.Then,based on the weight calculation,it researches Top-down model evaluation method.Further,it proposes a five-level data impact evaluation level,and defines a comprehensive rating adjustment strategy for the rating results.Through analysis,the improved DIAM model can be applied to enterprise data application impact evaluation for enterprises,and provides a scientific basis for enterprise data governance and application capability.

Key words: Analytic hierarchy process, Data application impact, Data governance, Data maturity model, DIAM model