Font Size: a A A

Design And Implementation Of Mobile Communication Quality Audit Platform Under The Background Of Big Data

Posted on:2020-07-31Degree:MasterType:Thesis
Country:ChinaCandidate:R R JiaFull Text:PDF
GTID:2428330578482390Subject:Software engineering
Abstract/Summary:PDF Full Text Request
From the perspective of the development of telecommunication operators in the world,and its development in China is in the country after the implementation of the policy of reform and opening,because of the large market demand,communication operators can provide the function of the business support system is limited,so can't well satisfy the demand of the market,the service hysteresis,management inefficiency,low operation efficiency and other shortcomings,not only hindered the better development of telecommunication operators,also affect its economic benefits,is an urgent need to solve.In order to cope with the fierce market competition,operators rely more and more on accurate data statistical analysis to achieve scientific management and decision-making.The quality of data is directly related to the accuracy of information.If the data quality problem is not effectively solved,the business decision will lose its reliable basis.,therefore,it is necessary to around the enterprise data life cycle of the whole process of critical data quality control,including the business indicators,dimensions,data model and interface file,data audit work,ensure the data accurate,timely,effective and credible,improving the quality of data,so as to improve the accuracy of business analysis and decision support,assist business personnel to realize accurate,rapid market decision-making and management analysis,obtain sustainable ability of market development.In this paper,the object-oriented design method is adopted.The first is the data quality verification system demand analysis,including the functional and non-functional demand analysis of the system.The functional requirements include five functional modules: data file overview,data quality overview,data quality report,rule definition and rule configuration.Non-functional requirements analysis includes system reliability,maintainability,efficiency,usability analysis,etc.Data quality verification system design,including the overall system functional design,design principles,functional flow chart and five functional module design.The realization of data quality verification system,based on the system design module,carries on the logic design and the coding to each module,constructs the system database.Data quality verification system testing,from functional testing and non-functional testing to verify the system and test whether it meets the real needs of users.
Keywords/Search Tags:data quality, data verification, rule configuration, definition
PDF Full Text Request
Related items