DataCVG® Data Governance Platform is an all-dimensional, smart data governance platform designed with a focus on the corporate demand of multi-level data management applicable in multiple industries. Incorporating state-of-the-art data governance ideas into data asset management, the platform positions on multi-dimensional, and cross-department and full process data governance capability. Data standards, master data, metadata, data quality, data rule models and other data assets can be easily built into the platform through rapid deployment. Enterprises can be benefited greatly from the platform by having a full management of its data assets, improving data quality, all kinds of data connection, increasing data acquisition efficiency, protecting data safety and continuously releasing and exploring data mining value.
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Build a full life cycle data management system for better data management, to meet business requirements and support decision-making. |
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Build up a leading data governance product by combining with the DataCVG® intelligence and best practices advantage.
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DataCVG® Data Governance definition & Goals
DataCVG® Data Governance definition
DataCVG® Data Governance Goals
Provide data governance consulting and technology services to enterprises and organizations.
3.Data management and operation as an asset to constantly increase data mining value
Supporting the enterprise to achieve its strategic target
8大核心功能与价值
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Data standard management Putting in place a unified set of data standards to eliminate problems derived from non-compatible systems. |
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Master data management Optimize the management and company’s prime data adoption by regulating master data acquisition, management, and application |
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Metadata management Automatically collect metadata to generate data impact analysis, data pedigree and full-link data analysis, laying a solid foundation for data management |
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Data quality management Collect clean and well-structured data and increase the percentage of data value |
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Data requirements management Support the full cycle of management from demand request and approve to rejection, requirement management regulation and ensure the data governance. |
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Data rule model management The reflection of the data relevance between different business unit and a recognized functional data rule model management is key to deliver successful data asset management. |
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Data security management Protect data assets security by sensing hazards, preventing leaks, managing permissions, and data disaster backup provisioning. |
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Process configuration management Visualize process configuration and enable flexible process elements configuration to standardize and normalize data management |
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System Architecture
DataCVG® Data Governance Platform – a force of empowerment
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Develop a full control of data flow
Take a comprehensive inventory of data assets before visualizing them to create a real-time view for managers
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Increase the value of data assets
Transform data costs to high-quality data assets by quality monitoring, auditing, and tracing throughout the data lifecycle
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Accelerate data inter-connection and communication
Clarify all kinds of system relationship, eliminate data silos and improve the efficiency of data flow
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Increase operation efficiency and decrease cost
Improve data analysis and application efficiency and cost reduction of IT construction and operation costs with the help of high-quality data
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Enhance risk control capability Lower data risks by deploying strict data access permissions and security control system |
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Drive management innovation Improve business management capabilities by optimizing business processes and resource allocation |
Recommendation
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》Data Middle Platform |
》Solution |
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