Design and Implementation of a CIME Model for Data Asset Evaluation Based on Mobile Cloud Computing

In this digital age, data assets have become one of the most valuable resources for enterprises and organizations. In order to accurately estimate and manage the value of data assets, a CIME (cost, intrinsic value, market supply and demand, environmental constraints) model based on mobile cloud is proposed. This paper reviews the research status and challenges of data asset evaluation, and introduces the architecture design of CIME model, the evaluation method of data assets, the implementation of mobile and cloud services, and the security and privacy measures. The test results on the proposed CIME model show that the maintenance efficiency percentage is over 80.9%, and the evaluation time is between 418 ms and 681 ms, which is lower than the traditional evaluation method (711 ms), and the cost-benefit ratio is obviously higher than the traditional method, and the highest is $\mathbf{2. 1 7}$.