Design And Implementation Of Data Quality Of Securities Risk Monitoring System Detection System

The quality of data is very importance to most enterprises. However, in those data often appear abnormal, resulting in serious consequences. In this paper, gathering vast amounts of data from various data sources, but it often contains unhelpful or incorrect data. Stock market arguably is the barometer of a country’s economic, stock market be able to timely reflect the subtle fluctuations in economic. Therefore, data accuracy, timeliness and security is a necessary condition of the securities business. So that users can make timely decisions from these large amounts of data, thus through these data mining contains changes rule, the better to predict their development trends. However, often because of data quality problems directly or indirectly affect the judgments of decision makers caused economic losses. Therefore data quality testing has important practical significance.The source of this paper come from "the securities company risk control" project, major task is to discover those emerging risks or risks that change over time so that timely feedback, in order to make timely and correct decisions.The system uses java language, by setting the relevant rules and thresholds for data from different data sources, we will find the data that do not meet the requirements we need. The system consists of the following four modules:(1) the data source acquisition module:mainly involves adding data source, viewing the data source and deleting the data source.(2) the rules module:mainly involve two aspects:system custom rules and user-defined rules, the user can defined rules set the threshold to find the trigger threshold of data, users can also set their own rules, to achieve the function of different data processing.(3) the implementation of the plan module:mainly related to the implementation of the plan through the implementation of the rules, or to implement the rules of the means to achieve the purpose of monitoring data.(4) the data monitoring module:the results of the implementation of the rules mainly show that the data source data evaluation, find out the data is not meet the requirements of graphics feedback.