Data governance platform

It establishes a full-lifecycle governance system that covers data standards, quality auditing, master data management, and security protection.Through real-time monitoring, it ensures compliance and reliability in terms of data integrity, accuracy, consistency and security, which enables closed-loop handling of quality issues. Based on data classification and grading, and supported by dynamic desensitization and access control, the platform provides enterprises with secure and dependable data assets.

Product Features Function Overview Application Scenarios

Product Features

Full-process quality monitoring and closed-loop management

Covering the entire lifecycle of data, from collection and synchronization to development, the system conducts real-time checks on integrity, accuracy and uniqueness. It adopts a closed-loop mechanism of “detection–rectification–verification” to address quality issues, which ensures that data remains compliant, reliable and trustworthy.

Flexible and scalable rule engine

The platform supports both built-in rule templates and user-defined rules. It allows table-level and field-level validation logic to be combined into composite rules, while offering a visual configuration interface to lower technical barriers.

AI-driven data governance

Powered by an AI-driven intelligent governance model, the platform reshapes data governance lifecycle management. It supports timeliness monitoring, intelligent detection and repair of anomalous data, and provides systematic capabilities for data standardization, security compliance and knowledge discovery from metadata.

Full-lifecycle master data governance

The platform enables comprehensive control of master data throughout its lifecycle, from definition and request to modification, activation, expiration and distribution. It supports version traceability, model version management and customizable coding rules to meet diverse business requirements.

High-quality dataset management

A full-chain data governance system is established to deliver accurate, consistent, complete and timely high-quality datasets. It ensures end-to-end governance from model development to AI deployment, which provides a secure and compliant foundation.

Enterprise-grade access control

With tenant and project level isolation, the platform strictly manages data access and operational boundaries. It ensures secure separation and compliant use of data across organizations and projects, safeguarding core assets.

Function Overview

The platform offers a one-stop solution for the creation, approval, auditing and monitoring of data standards. It supports flexible definition of standards and ensures their enforcement through automated auditing tasks. Version management and global search capabilities further enable efficient data governance and quality control.

Application Scenarios

Data security management

The platform provides protection for sensitive information across business scenarios through field-level desensitization and encryption technologies, ensuring data privacy. Combined with permission control and audit traceability, it meets compliance requirements while enabling secure business access, forming an end-to-end data security protection system.

Data quality management

Applicable to fields such as financial risk control, retail marketing, supply chain management, healthcare and government services, the platform performs quality checks during development to ensure data accuracy and reduce operational risks.

Data standards management

The platform offers unified data specifications for various industries, which ensures interoperability among systems and supporting business collaboration. By establishing coding rules and quality standards, it enhances data consistency and usability, which enables enterprises to advance digital transformation and intelligent decision making.

Master data management

Master data management serves as the core of enterprise data governance. By establishing unified data standards, it provides essential support for business systems and resolves data silo issues. It delivers a single, trusted source for foundational data such as finance and human resources, meets regulatory requirements and enables “one-time maintenance, global sharing,” significantly improving data quality and operational efficiency.