亚洲国产剧情中文视频在线,老熟女激烈的高潮,亚洲人成网站18禁止大,天天燥日日燥,成人免费精品网站在线观看影片 ,欧美另类高清zo欧美,国产仑乱无码内谢,8090成人午夜精品无码
Inspection and Testing Information Management: 400-686-4199 Data Asset Management: 400-643-4668 Supply Chain Management: 400-629-4066
Product description

In the process of enterprise data standardization, it is expected to feedback value to business through data standardization management. So, the importance of data quality can not be overemphasized. In this process, the generation of low quality data is inevitable, because the mass data initialization, unprocessed historical data diffusion and emergency businesses will all affect the quality  of data standard coding library. Thus, what the enterprises can do is to control the probability of generating low quality data and to discover low quality data in time and deal with it effectively. Therefore, the correct understanding on enterprise data quality management is that it is to reduce and control the production rate and the existence rate of low quality data through scientific, effective and professional management and technical supports, and discover low quality data in time and deal with it effectively, and keep standard code library's high health degree rather than not generating low quality data.

Product Functional Framework

Data quality management platform (DQMP) is the core standard component of SunwayWorld's information standardization and management integration Platform solution (6P+2E+Mobile), ensuring the data quality of the enterprise data standard library and transparent visual analysis of the standard data code library. However, due to factors such as the large amount of data, the complexity of data information and the high professional requirements of the data coding library, manual guarantee of quality is difficult. Thus, the standard data coding library should be tested by professional quality management tools so as to discover incomplete and abnormal (but real) data to be processed, iterant and noise data to be removed. Data health analysis should be provided by a professional data quality management platform in order to steering data cleaning and governance, so as to ensure the uniqueness, integrity,consistency, and improve data quality.

Features

6

Data quality control and configuration

Through the Data Quality Management Platform, data models of different types are configured with the corresponding quality control and analysis parameters to achieve normal quality monitoring and management on standard data of different types, thus realizing accurate duplicate checking and fuzzy duplicate checking among data and providing configurable data verification functions. The platform also supports verification and inspection of data uniqueness, completeness and consistency. 
It supports the configuration of similar data matching conditions. 
The system supports regular repeated code inspection on master data and provides the list of repeated codes of master data.
Support accurate duplicate checking function and configure duplicate checking rules.
Support batch export of the list of repeated codes of master data.
Support to establish unified approval process.
Support publication of the list of repeated codes and collection of opinions: the list of repeated codes of master data will be only announced to subsidiaries or business units which use to-be-deleted master data in the business system.
Achieve various inspection functions on data through configurable data inspection conditions. 
processing conditions of each business system of the released list of repeated codes: establish the mapping relation of repeated codes of master data and track the business processing conditions of deleted master data (including the processing status of outstanding business and master data).
Support approval, publication, opinion collection, release and export of the list of repeated codes; realize the establishment of data constraint rules.
Realize mandatory inspection function on fields.
Realize inspection function on relationship fields.
The system supports regular health analysis of master data and provides health analysis reports of master data.
 

主站蜘蛛池模板: 国产手机在线亚洲精品观看| 正在播放国产对白孕妇作爱| 国产又爽又刺激的视频| 色诱久久久久综合网ywww| 欧美人成视频在线视频| 免费中文熟妇在线影片| 丰满人妻一区二区三区无码av| 国产亚洲色欲色一色www| 国产超碰人人爽人人做av| 男女裸交免费无遮挡全过程| 久久亚洲sm情趣捆绑调教| 国产成人小视频| 国产精品麻豆va在线播放| 亚洲欧美闷骚少妇影院 | 高清人人天天夜夜曰狠狠狠狠 | 久久久中日ab精品综合| 国产手机在线亚洲精品观看| 久久久久人妻一区精品色| 欧美品无码一区二区三区在线蜜桃 | 欧美精品日韩精品一卡| 狼友网精品视频在线观看| 大伊香蕉精品一区视频在线 | 国产精品美女久久久久久2021| 亚洲美免无码中文字幕在线| 日本三线免费视频观看| 亚洲国产精品久久久久久久| 7777精品伊久久久大香线蕉| 黑人猛挺进小莹的体内视频| 成年在线网站免费观看无广告| 在教室伦流澡到高潮hnp视频| 色婷婷五月综合亚洲小说| 国产精品好好热av在线观看| 久久久一本精品久久精品六六| 996久久国产精品线观看| 色婷婷五月综合亚洲小说| 亚洲中文字幕不卡无码| 欧美激情乱人伦| 亚洲欧洲中文日韩乱码av| 98国产精品综合一区二区三区| 亚洲熟女乱色综合亚洲小说| 亚洲成av人片在线观看天堂无 |