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Sinotruk Has Successfully Passed The Dcmm Level 4 Certification, Demonstrating Its Industry-Leading Data Management Capabilities!

Media Coverage|15.01.2026

Recently, in an assessment conducted under the guidance of the Ministry of Industry and Information Technology and organized by the China Electronics and Information Industry Federation, China National Heavy Duty Truck Group (CNHTC) successfully passed the rigorous review and officially obtained the “Quantitative Management Level” (Level 4) certification of the National Data Management Capability Maturity Model (DCMM). This certification signifies that CNHTC has reached a leading level in China’s manufacturing industry in terms of data management system construction, data governance capability improvement, and data value mining, laying a solid data foundation for its digital transformation and high-quality development.

DCMM Level 4 Certification

The Data Management Capability Maturity Model (DCMM), as the first officially released national standard in my country’s data management field, is currently the most authoritative and systematic data management capability assessment framework in the country. This model systematically covers eight core capability domains: data strategy, data governance, data architecture, data application, data security, data quality, data standards, and data lifecycle, and divides maturity into five progressively higher levels: Initial, Managed, Robust, Quantitatively Managed, and Optimizing. The “Quantitatively Managed” (Level 4) level requires enterprises to be able to quantitatively analyze and continuously optimize the data management process, achieving data-driven refined management and decision support, representing a key leap forward in the data capability building of many enterprises.

Passing the DCMM Level 4 certification not only represents authoritative national recognition of China National Heavy Duty Truck Group’s (CNHTC) systematic, standardized, and mature data management, but also marks a significant milestone in the company’s comprehensive digital transformation strategy in recent years. For many years, CNHTC has adhered to the principle of treating data as a core asset, guided by the group’s data strategy, guaranteed by a robust institutional framework, and supported by information technology, systematically promoting full lifecycle data management. By building a unified data governance framework and platform, the company has achieved efficient data collection, integration, and interaction in key areas such as R&D design, manufacturing, supply chain collaboration, marketing, and after-sales service, initially forming a closed-loop data management capability covering the entire product lifecycle. Based on this, CNHTC actively promotes the deep application of data in scenarios such as quality control, cost optimization, efficiency improvement, customer service, and innovative R&D, gradually transforming data resources into strategic momentum driving business growth and operational improvement.

Looking to the future, CNHTC stated that it will continue to deepen the construction of its data management capability system and promote data governance towards a higher level of “optimization.” Enterprises will further consolidate their data foundation, strengthen data security and quality management, deepen cross-domain data integration and intelligent analysis capabilities, and explore the value release paths of data elements in intelligent manufacturing, smart supply chains, personalized services, and industrial ecosystem innovation. China National Heavy Duty Truck Group (CNHTC) will take this certification as a new starting point, continuously strengthen its data-driven culture, improve its data governance mechanisms, accelerate its digital transformation, and empower the company’s operational efficiency, business model innovation, and core competitiveness building with higher-level data management capabilities, contributing “CNHTC wisdom” and “data power” to the high-quality development of China’s commercial vehicle industry.

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