Case Study of DCMM Standard Implementation at State Grid Tianjin Electric Power

Background – Energy and power sectors were early adopters of the DCMM pilot; State Grid Tianjin Electric Power began participating in 2017, received DCMM Level‑4 certification in 2020 and helped the parent company achieve the first national Level‑5 certification in 2021.

The company simultaneously advanced the "1001 Project", "Transformation Strengthening Project" and "9100 Action Plan", deploying a 220 kV multi‑station data center, a provincial integrated energy service center, and a city‑level energy big‑data center, while building a cloud‑and‑data‑mid‑platform based on Huawei Kunpeng.

DCMM Overview – GB/T36073‑2018 is China’s first national standard for data management capability maturity (Data Management Capability Maturity Model, DCMM). It provides a framework for the full lifecycle of data governance.

Certification Timeline

August 2017: Pilot evaluation identified gaps and offered practical feedback for the national standard.

October 2020: Successfully completed on‑site assessment and obtained Level‑4 (Quantitative Management) certification.

March 2021: Expert review visit praised the company’s digital transformation and data capability.

July 2021: Presented best‑practice case at the national DCMM promotion conference.

September 2021: Supported the parent company’s Level‑5 certification effort.

October 2021: Recognized as an outstanding DCMM case by the China Electronic Information Industry Federation.

Practical Practices

1. Precise Data Strategy – Implemented the "12410" digital communication strategy, establishing a three‑tier (headquarters‑province‑grassroots) data‑driven transformation model.

2. Systematic Data Governance – Developed 43 policies covering data governance, sharing, and application; conducted over ten training sessions for more than 2,600 participants.

3. Standardized Data Architecture – Published a guide for scenario‑based construction on the data‑mid‑platform, unified indicator systems, and built an indicator reporting center with 2,481 metrics.

4. Multi‑Dimensional Data Applications Professional empowerment: built 47 business applications (digital audit, smart grid, supply chain, etc.) on the data‑mid‑platform. Grassroots burden reduction: enabled 1,613 employee‑developed applications, winning the 6th "Youth Innovation" award. Government service: created a "government‑demand, center‑product, platform‑release" model delivering 30+ data products, supporting policy decisions and receiving over 20 commendations.

5. Integrated Data Service – Established a "1+8" data‑operation team, unified portal, and real‑time data quality dashboards, reducing data‑access response time from one working day to under one hour.

Insights

1. Mid‑platform strategy is foundational – Proven essential for digital transformation and carbon‑neutral goals.

2. Data applications are the lifeblood – Internal professional and grassroots empowerment, plus external government services, create a vibrant data‑driven ecosystem.

3. DCMM provides a systematic guide – The standard drives full‑lifecycle data management, enhancing the company’s data value and supporting its digital transformation roadmap.

Q&A

Q: How is the value of data management manifested? A: By establishing robust internal data governance and sharing, gaining senior‑level endorsement, and extending services to government and industry to unlock data‑driven value.

Finally, the speaker thanked the audience and concluded the session.