Research On Data Quality Control Technology Of Grid Enterprise Business

With the continuous development of network technology and information technology, the level of information of power enterprise increases gradually. At the same time, enterprise data has a massive growth In the early stage, the power enterprises usually underestimate the complexity of power enterprises’ business data and give less consideration to the data quality problems during the implementation of information project. All of these have led to a large number of data quality problems accumulated and the information project can’t achieve their goals. As the basis and core of the information system, data plays a vital role in the information system. Data quality has a directly impact on the whole system. The high quality of data is the key of getting meaningful results for data analysis, and the low quality of data has become an important factor that block the enterprise to carry out the correct decision. Therefore, the demand of getting the data of high quality is becoming more and more intense.To solve the above problems, this paper studied the data quality control technology in the application of the power grid enterprise business system. With the State Grid Hebei Electric Power Company as the research object, combined with the power company comprehensive plan of the business needs of the statistical work, put forward a set of power grid enterprise data quality control process model, designed and implemented the integrated automatic data collection and statistical analysis system based on SSH framework. In the system, the paper used the accuracy, integrity, uniqueness and timely calibration method to ensure the accuracy of the data sources. It adopted appropriate methods to modify problem data to ensure the correctness of the data analysis results. Finally, the paper verified the application performance of data quality control technology.The system has been put into operation in State Grid Hebei Electric Power Company. Because of running effectively, the data quality management module has received the affirmation of the department and improved the data quality of the business system greatly.