Evaluation Of Dataasset Value Of Software Development Enterprises Based On Multi-period Excess Return Method

In the context of the rapid development of digital economy and global big data,with the development of network speed and storage technology,the speed,overall scale and application frequency of data are constantly growing,which profoundly affects the production of enterprises and people’s lives in all aspects.Countries around the world attach great importance to big data technology,define data as a strategic asset,and attach great importance to the development and utilization of data assets.In recent years,China has also vigorously developed the digital economy,and the report of the 20 th National Congress of the Communist Party of China put forward: "accelerate the development of the digital economy and promote the deep integration of the digital economy and the real economy",and data elements are the basic and strategic resources for the development of the digital economy.Therefore,clarifying the value of data assets is conducive to China’s better development and utilization of data assets,which will play an important role in the comprehensive development of the country and is a favorable condition for enhancing China’s overall strength.The status of data in enterprises is also increasing,and it is an important asset that enterprises have not fully mastered and used.Since data is an enterprise asset,it must be incorporated into the asset management of the enterprise,at the same time,data assets are still an emerging concept in recent years,whether foreign or domestic,scholars’ exploration of data assets is still in the preliminary stage,and there is no mainstream unified evaluation system.Clear data value can help enterprises develop and manage data assets more effectively,avoid asset loss,and promote the healthy development of the data market.This paper aims to summarize the concept and characteristics of data assets,and analyze the situation of domestic theory and practice.At the same time,this paper will also study the characteristics and impact of data assets of software development enterprises,compare different valuation methods,and finally determine the use of multi-period excess return method for data asset evaluation.Then,considering the influencing factors of the value of data assets,the analytic hierarchy method and fuzzy comprehensive evaluation method are used to estimate the relative level of the data assets of the evaluated enterprises in the same industry,and the model is reasonably improved to obtain more realistic results,and a multi-period excess return method evaluation model is established.Finally,taking Company T as a case enterprise,the constructed model is applied to the actual data asset evaluation,and the final result is obtained,which verifies the practicability and operability of the evaluation model.This paper makes a useful attempt on the practice of data asset value assessment,improves the relevant theory of software development enterprise data assets,and establishes a data asset valuation model that is simple in practice and has practical value,which can enable enterprises to better develop and utilize the data assets they master,improve their financial systems and systems,and help enterprises to carry out data assets related business,which has certain reference value.