[{"data":1,"prerenderedAt":18},["ShallowReactive",2],{"news-dtmm-maturity-model-explained":3},{"slug":4,"title":5,"summary":8,"body":11,"category":14,"date":15,"published":16,"readMinutes":17},"dtmm-maturity-model-explained",{"zh":6,"en":7},"DTMM 数字化成熟度模型：企业该在哪一级？","The DTMM Maturity Model: Which Level Is Your Enterprise?",{"zh":9,"en":10},"依据 GB\u002FT 43439-2023 及其衍生态，数字化成熟度分为 L1–L5 五个等级，并以数据治理为核心引导维度。了解自己在哪一级，才能知道下一步该补什么。","Under GB\u002FT 43439-2023 and its derivatives, digital maturity spans five levels (L1–L5), guided by data governance as the core dimension. Knowing your level tells you what to fix next.",{"zh":12,"en":13},"## 为什么需要成熟度评估\n\n数字化投入最常见的失败方式，是\"哪里痛就治哪里\"——设备坏了买设备，系统卡了上系统。成熟度评估的价值在于给出全局坐标，避免局部最优。\n\n## 五个等级\n\n**L1 · 初始级**：以手工与 Excel 为主，缺少系统或仅有纸笔化系统，数据与流程都在个人手里。\n\n**L2 · 基础级**：单点系统上线，例如 ERP 或 CRM 单独运行，跨部门仍靠人工传递数据。\n\n**L3 · 集成级**：系统打通、数据贯通，ERP + MES + WMS 完成集成，典型如智造工厂的\"数据一张网\"。\n\n**L4 · 优化级**：数据驱动与智能应用，建立数据中台与 BI，AI 深度嵌入关键业务场景。\n\n**L5 · 引领级**：AI 原生与自主进化，数字孪生、虚实融合大模型、自进化 Agent 等形态出现。\n\n## 评估维度\n\n成熟度统一从**数据治理**维度引导，并指向数据管理层：\n\n| 维度 | 关注点 |\n| --- | --- |\n| 数据治理（核心引导维度） | 数据资产的管理、标准、质量与权属 |\n| 系统建设 | IT 基础设施与业务系统的覆盖度 |\n| 系统集成 | 跨系统打通与数据贯通程度 |\n| 智能应用 | AI 与数据分析在业务中的实际渗透 |\n\n## 怎么用\n\n在我们的[免费数字化成熟度自测](\u002Fself-check)中，您只需回答 6 个问题（约 3 分钟），即可得到所在等级、分维度得分与针对性建议。测试完成后可预约专属顾问获取详细解读。","## Why maturity assessment matters\n\nThe most common failure mode of digital investment is treating symptoms: buy hardware when devices break, deploy systems when processes stall. A maturity assessment provides a global coordinate to avoid local optimization.\n\n## The five levels\n\n**L1 · Initial**: manual work and spreadsheets dominate; no system, or paper-based ones; data and processes live with individuals.\n\n**L2 · Basic**: point systems go live, such as a standalone ERP or CRM, with data still passed manually between departments.\n\n**L3 · Integrated**: systems are connected and data flows through — ERP + MES + WMS integrated, as in a smart factory running on a single data network.\n\n**L4 · Optimized**: data-driven and intelligent, with a data platform and BI in place and AI deeply embedded in key processes.\n\n**L5 · Leading**: AI-native and self-evolving — digital twins, digital-physical foundation models, self-evolving agents.\n\n## Assessment dimensions\n\nMaturity is guided uniformly by **data governance**, pointing toward the data management layer:\n\n| Dimension | Focus |\n| --- | --- |\n| Data governance (core guiding dimension) | Management, standards, quality and ownership of data assets |\n| System building | Coverage of IT infrastructure and business systems |\n| System integration | Degree of cross-system connectivity and data flow |\n| Intelligent application | Actual penetration of AI and analytics into the business |\n| Organization | Transformation mechanisms and cross-team collaboration |\n\n## How to use it\n\nIn our [Free Digital Maturity Self-Check](\u002Fself-check), you answer 6 questions (about 3 minutes) to get your level, per-dimension scores, and tailored advice. You can then book a dedicated advisor for detailed interpretation.","insight","2026-10-06",true,3,1791962663404]