How to govern data exploration has become a key challenge in enterprise management, especially in situations where data is scattered, standards vary, quality is low, and integration costs are high. Shanghai DeSmart helps enterprises address these challenges by building a comprehensive data governance system, and is committed to establishing an effective data governance system. Based on solutions for master data, data governance, and data platforms, it manages data standards, data governance, data security, data models, data architecture, data lifecycle, master data, metadata, etc., controls from the source, unifies data calibers, mines and analyzes data, and integrates external data to improve data quality, enhance data sharing, simplify structure, establish a perfect and unified management system, and solve the problems of "storage", "communication", and "use" of enterprise data, so that data can empower enterprises and enhance their competitiveness.
By establishing a data governance organization, clarifying the responsibilities and rights of all parties, promoting mutual collaboration and joint practice, the goal of master data management can be effectively achieved.
By clarifying the work steps, tasks, and circulation directions of each participant under the data governance organization, the execution efficiency of master data management can be improved and management costs can be reduced.
Through business management and technical inspection methods, we control and ensure the accuracy, completeness, consistency, and other key factors of master data information, thereby improving the usability of master data.
Support multi-view management, creating model views from different business perspectives.
By establishing a master data classification framework and formulating master data standards, we ensure a high degree of consistency and accuracy in the use of master data.
By planning the distribution structure and circulation methods of master data, we can enhance the rationality of master data distribution, improve data transmission efficiency, and reduce data redundancy.
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