How Zhejiang Mobile Built a DataOps‑Powered Anti‑Fraud Platform to Lead the Telecom Industry

Project Background

Telecom fraud is increasingly widespread, technical, industrialized, diverse and hidden, making detection difficult. To build an industry‑wide anti‑fraud system, Zhejiang Mobile created a data‑driven, micro‑service‑based anti‑fraud middle platform that integrates multi‑source call‑detail, signaling and other data for unified collection, standardization and correlation.

DataOps Practice

Following the DataOps concept, Zhejiang Mobile established a data‑research‑operations management system, focusing on two main actions: strengthening the tool platform and advancing engineering practice and process optimization.

1. Strengthen Tool Platform

The platform supports the entire data lifecycle—request, analysis, collection, modeling, consumption and assurance—enhancing data governance and development capabilities.

2. Advance Engineering Practice and Process Optimization

By breaking silos among demand, design, development and operations, a standardized, integrated data pipeline was built. Institutional guarantees and technical platform support embed data standards into design, ensure data security in tenant management, and achieve scalable data management.

Data Development Improvements

Efficiency gains include 20% improvement in demand analysis, 25% increase in development efficiency, and a 28.47% rise in demand handling rate. Measures cover institutional capability (standardized development processes), technical capability (CI/CD for high‑quality data delivery), and collaboration capability (96.7% same‑day data‑quality issue resolution).

Data Model Design and Security

Automated visual data‑model design tools and comprehensive standards reduce manual effort and risk, boosting problem discovery rate by nearly 20%. A unified security management framework and refined permission tools achieve zero security incidents throughout the year.

DataOps Evaluation Overview

The “Data Research‑Operations Integration (DataOps) Capability Model” by the China Academy of Information and Communications Technology defines eight areas, including overall architecture, development management, delivery management, operation, value operation, tools, organization, and security risk. Zhejiang Mobile’s anti‑fraud project was among the first to pass the third‑level (excellent) assessment.

How to Participate

Enterprises can join the DataOps evaluation to quickly understand the culture, receive guidance for building integrated data R&D‑operations capabilities, and accelerate digital transformation.