Research On Data Asset Management And Utilization Of External Data

With the rapid development of big data and market in recent years,the concept that data is assets has gradually been popular, the data management methods has changed from data management, data resource management to data asset management. However, as a new branch in big data areas, there is little related research and much difficulties.Based on the situation, the concept and content of data assets management was discussed in this paper. First, research on the development of big data was did, including the development path, data scale, market scale, market structure both international and domestic.Second, the basic theory of data asset management was studied, including the connotation, challenges, differences compared with the classic asset management theory. Third, we studied the acquisition mechanism of external data was and put forward the innovation direction of external data transaction model.Secondly, the theoretical research system of data asset management was analyzed from three aspects: data asset government, application and operation. Data asset government includes the standardization, data assets directory and data assets system; Data assets applications includes data visualization, search analysis and data products; Data assets operation includes data open, operational data system, valuation and audit. The key point and implementation path of data asset management was summarized.Finally, we studied the data asset management path in electric power enterprise. On the on hand, a multi-disciplinary and full process data asset management system is established, including the management process, the organizational responsibility system, auditing rules, asset monitoring method and Examination and evaluation system. On the other hand,combined with internal operation data and external meteorological data, a mathematical model is established to predict the distribution network fault.It shows the economic value and social benefit brought by the integration and utilization of internal and external data assets.