Data Governance_Building an Enterprise-Level Data Governance Standard Framework

Data Governance

The Big Data Development & Governance Platform, built on big data computation engines like Hadoop, Hudi, Flink, and Spark, provides customers with a professional, efficient, secure, and reliable one-stop solution for big data development and governance, empowering the digital transformation across various industries.

Industry Pain Points

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Underutilized Enterprise Data Value

Establish an integrated data governance service system based on corporate data to provide data service support for business scenarios and enhance data value.

Unclear Data Lineage

Through data layering, slicing, and transformation, it clarifies the data structure and lineage, reduces redundant development of application data, improves system data quality, and ensures data uniqueness and security.

Disconnected Data Governance Services

By building comprehensive unified stream-batch data services, it establishes a holistic data perspective, unifies the logic, standards, planning, and control of business data, and enables cross-disciplinary, cross-system linked analysis for diverse scenarios.

Value Proposition

Unified Data Model Standards

Enterprise data implementation projects enhance unified standards, management, and service capabilities for all business data based on "unified model standards and clean, transparent data". They improve the secure, orderly use, and open access of hierarchical regional data, promote data integration and interaction, fully leverage data value, enhance data security, and ensure data accessibility.

Holistically Enhance Data Value

Data governance enhances value by improving data quality and accuracy. Furthermore, effective utilization and analysis can generate more valuable information and outcomes, increasing data's utility value. Applying data to automated and intelligent decision-support systems also enables better resource management, improving efficiency and returns.

Improve Data Quality

By establishing data quality management standards and processes, standardizing the collection, processing, cleansing, storage, and analysis of data, and gradually introducing advanced data analysis technologies to continuously optimize the data governance system, data quality can be enhanced. This provides reliable data support for refined management in the field and strong guarantees for the healthy operation and sustainable development of the ecosystem.

Unified Data Model Standards

Enterprise data implementation projects enhance unified standards, management, and service capabilities for all business data based on "unified model standards and clean, transparent data". They improve the secure, orderly use, and open access of hierarchical regional data, promote data integration and interaction, fully leverage data value, enhance data security, and ensure data accessibility.

Holistically Enhance Data Value

Data governance enhances value by improving data quality and accuracy. Furthermore, effective utilization and analysis can generate more valuable information and outcomes, increasing data's utility value. Applying data to automated and intelligent decision-support systems also enables better resource management, improving efficiency and returns.

Improve Data Quality

By establishing data quality management standards and processes, standardizing the collection, processing, cleansing, storage, and analysis of data, and gradually introducing advanced data analysis technologies to continuously optimize the data governance system, data quality can be enhanced. This provides reliable data support for refined management in the field and strong guarantees for the healthy operation and sustainable development of the ecosystem.

Solution Architecture

Customer Cases

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Data Governance Platform for a Municipal Power Supply Company

The Power Grid Data Governance Project establishes a data application platform for campus-level generation-grid-load-storage systems, focusing on power regulation, energy efficiency, and dual-carbon objectives. By integrating 1,430 business tables from the provincial data platform and local user-side data, it creates a governed data resource catalog and unified stream-batch data services. The project enables full-element interaction through energy equipment modeling and distributed resource analysis, while a multi-level carbon emission dashboard—leveraging PV, charging pile, and energy data—supports electricity-carbon optimization and enhances emission control.

The Power Grid Data Governance Project establishes a data application platform for campus-level generation-grid-load-storage systems, focusing on power regulation, energy efficiency, and dual-carbon objectives. By integrating 1,430 business tables from the provincial data platform and local user-side data, it creates a governed data resource catalog and unified stream-batch data services. The project enables full-element interaction through energy equipment modeling and distributed resource analysis, while a multi-level carbon emission dashboard—leveraging PV, charging pile, and energy data—supports electricity-carbon optimization and enhances emission control.