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Digital Transformation (DX)

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
  
CategoryMaturity StageDetailed Response Mechanism
Foundation buildingBasic stageDigitizing legacy systems and building a data collection environment
Operational optimizationConnection/integration stageAutomating processes (e.g., RPA) and establishing the foundation for cross-departmental data sharing
Business innovationData-driven stageCreating new business models using data analytics and AI models

3. Expected Effects and Applications

CategoryExpected EffectApplication
StrategyInnovating the business modelCreating new data-driven services and markets
OperationsImproving work productivityEliminating human error and streamlining processes through automation
TechnologyFlexible scalabilitySecuring business agility through cloud-based architecture