Bi Data Quality Management System Design And Research

With the business intelligence system (hereinafter referred to as BI) continues to develop, business intelligence systems by the accumulation of data warehouse construction and application of the topic has been promoting a comprehensive, covering business and technology extension and expansion of the constant, The quality of the data for effective monitoring and promotion has become a bottleneck in the development of the BI. At the same time as the IT security management systems, internal controls and other major risk management initiatives, how to protect the quality of the data also raised more High demand. In order to fully and timely collection, inspection reports, and solve the summary of the operating system to link the analysis of the data quality issues, for data quality assurance of a stable and reliable, at this stage is an urgent need for a unified and standardized platform for the management of the business to the interpretation of the data. To provide technical staff to maintain electronic data-processing services, development and management of the platform. It also provides a platform for the development of management services to the technical staffThis article study from the current enterprise BI systems outlined in classified data quality and then use the international CWM standard (Common Warehouse Metamodel CWM^TM) to design a metadata management platform based on the model Data quality management system. Follow-up to collect the current BI enterprise data quality management system requirements. Through the province's mobile telecom data warehouse data quality management system in the development and successful implementation of the deployment, To verify the design and pre-feasibility study and obtained a set of data quality management platform for the construction project ideas and strategies to form the latter part of the management mechanism, such as the flow works very much in line with previous research, at the same time as the other the latter part of carrier-class data warehouse And non-telecom-class enterprise data warehouse to enhance the quality of the data has a high theoretical and practical value.