Resource Integration Efficiency Analysis of Precision Instrument under Data Mining

Abstract

This study aims to explore the factors that affect the integration efficiency of resources in the use of various precision instruments by enterprises. A strategy to improve the resource integration efficiency of enterprises is proposed. Firstly, the theory and integration technology of precision instruments are described. Decision tree technology in the field of data mining technology is introduced as a basis. The effectiveness of computers for resource integration work is explored. The influence of resource integration efficiency is discussed from five factors: government subsidy, fiscal taxation, commodity preference, enterprise market financing, and enterprise financial department planning. The financial department has the most significant impact, and most of the other four factors emphasize the capital utilization of enterprises and the motivation of employees. Therefore, it is proposed that the financial department of enterprises should be improved. Regarding the ability of market financing, it is emphasized that employee incentive strategies should be submitted to achieve the ultimate goal of improving the efficiency of resource integration, which provides a particular theoretical reference for the customization of enterprise resource data acquisition strategies.