Data Value System and Cockpit Construction: A Case Study from CITIC Bank

Introduction: The deep integration of finance and technology drives banks toward digital transformation, and CITIC Bank’s software development center shares its data value system and cockpit construction case.

Business objectives: Define the data system’s goals using the four questions—what, why, how, and do—to enable rapid answers, trend prediction, root‑cause analysis, AI‑driven experimentation, and efficient execution.

Overall planning: The architecture consists of a foundational data layer (data lake, data warehouse, real‑time processing platform), a data‑governance framework, BI and AI tools, and six major application domains (digital management, intelligent marketing, risk control, asset‑liability management, finance, and regulatory technology).

Digital management system: Provides a unified decision‑support cockpit for leaders, addressing unclear indicator logic, non‑intuitive reports, inconvenient data access, and untimely data release, with mobile access and hierarchical views for head office, regional, and branch levels.

Methodology: Build an indicator tree based on business goals, follow a step‑by‑step monitoring loop (what, why, how, do), and incorporate agile knowledge management, illustrated with retail, channel marketing, and customer‑value examples.

Implementation process: Fifteen standard stages—from requirement analysis, model development, interface creation, front‑end design, to deployment and operation—were followed; since 2020, 11 mobile cockpits and multiple business dashboards have been delivered.

Usage statistics: The retail cockpit currently has over 4,000 active users and about 160,000 page views per month, while branch‑level cockpits are being promoted to support daily management and performance monitoring.

Conclusion: The data value system enables continuous iteration of business and product strategies, improves operational efficiency, and fosters innovation across the bank’s services.