MobTech's Integrated Data Governance Practices and Architecture

MobTech shares its experience in data governance and security, beginning with an overview of why governance is essential for enterprises, especially those handling massive data volumes and diverse sources.

The article outlines common problems such as data silos, redundancy, complex requirements, low quality, and high costs, and explains how systematic governance can reduce expenses, strengthen security, improve data quality, and increase data value.

A full‑link governance chain is described, spanning data collection, storage, analysis, and output, with emphasis on compliance, timeliness, consistency, and risk assessment, particularly in the financial industry.

The governance framework is divided into four core modules: data security, data standards, asset management, and data quality, each detailing practices like encryption, de‑identification, permission control, metadata management, lineage tracking, and quality monitoring.

MobTech's integrated architecture consists of five systems—security management, asset management, model management, task scheduling/monitoring, and quality monitoring—illustrating how each component supports the end‑to‑end data lifecycle.

Specific implementations for financial risk‑control are highlighted, including real‑time HBase access, scoring models, and strict compliance with regulations such as GDPR and China’s Data Security Law, demonstrating the practical impact of robust data governance in high‑stakes environments.