Research on Intelligent Management Technology of Project Reserve Data in Enterprise Digital Transformation

The project reserve of power grid enterprises is related to the company’s future development focus and the creation of key products, and is a key step in the construction and development of enterprises. However, due to the large amount of project data in the reserve stage, the data sorting, screening, and value evaluation of the reserve project are huge, and the human processing is time-consuming and labor-intensive. Therefore, it is urgent to study the intelligent processing of enterprise reserve project data based on artificial intelligence technology to improve the quality and efficiency of enterprise reserve project management. Aiming at the needs of intelligent evaluation of enterprise project data value, this paper studies the reserve project clustering algorithm based on improved k-means algorithm technology, and realizes the automatic classification of project types, thereby improving the management efficiency of reserve projects.