Research on the Maturity Assessment Method of Electric Power Big Data Application Technology Capability

With the acceleration of the digital transformation of the power industry, the application of power big data plays an increasingly important role in many fields, such as power grid operation and customer service. With the rapid development of big data technology, the demand for technology capability maturity assessment is increasingly urgent. However, although the existing maturity model has been widely used in various industries, due to the complexity and diversity of big data applications, combined with the development characteristics of the industry itself, the maturity model has been widely used in various industries, it is difficult for the existing models to fully cover their assessment needs. It is urgent to carry out relevant research and build scientific assessment tools to help power enterprises identify shortcomings, optimize service processes and enhance competitiveness. This paper takes the application of power big data as the research object, and starts from the four business dimensions of business understanding, data processing, data analysis and data application, this paper constructs a method system and model (DAMM) for the capability maturity assessment of power big data application technology, and lists the evaluation criteria and evaluation methods of each dimension, it aims to help enterprises fully understand their maturity in the application of big data technology (descriptive, predictive, instructive, digital and intelligent four levels), find bottlenecks and problems in the application of technology, identify the technical aspects that need to be optimized, and then better develop targeted improvement measures.