Digital Transformation (DX)
1. Digital Transformation (DX): Fundamental Business Reinvention
flowchart LR
A["Traditional business environment"] -- "Reinventing the entire business through digital technology" --> B["Digital Transformation (DX)"]
Core: The process of applying digital technology across society to fundamentally change traditional ways of operating and business models.
Characteristics:
(Technology) Convergence of digital technologies such as cloud, AI, and IoT.
(People) Building digital capability and changing ways of working.
(Process) Shifting to a data-driven decision-making system.
2. Domain Model and Maturity Framework of the DX Framework
A. Three Core Elements of DX
(The converging structure of technology, people, and process)
flowchart TD
ROOT["Three Core Elements of DX"]
T1["Digital Technology"]
T2["Digital People"]
T3["Digital Process"]
ROOT --> T1 & T2 & T3
style ROOT fill:#1E3A5F,color:#fff
- Technology: Data-driven platforms, infrastructure innovation (e.g., cloud).
- People: Digital literacy, agile organizational culture.
- Process: Data-driven decision-making, optimizing customer experience.
B. Digital Transformation Maturity Model (Strategic Evolution Framework)
(A mechanism for diagnosing and advancing an organization’s DX level in stages)
flowchart LR
subgraph A["Initial Stage"]
A1["Manual/siloed work"]
end
subgraph TRANS["Transformation Strategy (Evolution)"]
direction TB
T1["Digitizing data"]
T2["Automating processes"]
end
subgraph B["Target Framework"]
B1["Digital native (data-driven)"]
end
A -- "Transformation for competitive advantage" --> TRANS
TRANS --> B
| Category | Maturity Stage | Detailed Response Mechanism |
|---|---|---|
| Foundation building | Basic stage | Digitizing legacy systems and building a data collection environment |
| Operational optimization | Connection/integration stage | Automating processes (e.g., RPA) and establishing the foundation for cross-departmental data sharing |
| Business innovation | Data-driven stage | Creating new business models using data analytics and AI models |
3. Expected Effects and Applications
| Category | Expected Effect | Application |
|---|---|---|
| Strategy | Innovating the business model | Creating new data-driven services and markets |
| Operations | Improving work productivity | Eliminating human error and streamlining processes through automation |
| Technology | Flexible scalability | Securing business agility through cloud-based architecture |