Systematic Data Governance Practices in Meituan Accommodation Business

Meituan's accommodation data governance team leveraged years of data warehouse and governance experience to transition from ad‑hoc, problem‑driven approaches to an automated, systematic governance model, focusing on standardization, digitization, and systematization.

The background outlines the business's evolution from rapid expansion to a stable, fine‑grained operation, highlighting increasing demands for data cost, efficiency, security, and value, which exposed gaps in existing governance practices.

The concept of governance systematization is introduced, proposing a multi‑layered framework—management, standard, capability, execution, evaluation, and vision—that integrates management, method, evaluation, standards, and tooling to support end‑to‑end data governance.

Implementation details cover three pillars: (1) Standardization—defining governance policies, SOPs, and tools to ensure consistent processes; (2) Digitization—building a metadata warehouse, indicator system, and asset grading to quantify and monitor data assets; (3) Systematization—creating a unified governance platform (Governance Center) that offers asset visualization, management dashboards, and automated SOP execution.

The article concludes with a five‑step governance workflow, measurable outcomes such as cost savings and quality improvements, and future plans to enhance intelligence and automation within the governance ecosystem.