Assessing Digital Maturity and Overcoming Challenges in Enterprise Digital Transformation

Enterprises pursuing digital transformation must evaluate their maturity using a multidimensional framework that includes digital strategy, business application outcomes, technology support, data support, organizational support, and overall digital change, as illustrated in Figure 1.

Based on maturity levels, companies can be classified into four stages—online, integrated, digital, and intelligent—with most traditional Chinese firms currently in the online or integrated phases, requiring a focus on online and integration tasks.

The seven distinguishing features of a digital enterprise, centered on a customer‑centric capability system, are detailed in Figure 2 and include shifts in organization structure, business innovation, and customer interaction toward unified platforms, scenario‑driven solutions, and seamless experiences.

To build a customer‑centric organization, firms should transition from product‑centric to customer‑centric structures, adopt scenario‑driven business innovation, and prioritize holistic customer experience across both online and offline touchpoints.

Four core capabilities—agile, lean, intelligent, and flexible—are supported by advanced IT architecture and organizational systems (Figure 5), enabling responsive operations, efficient resource management, insightful data analytics, and smart production.

The “smart brain” concept (Figure 6) leverages data value and AI analysis to create an enterprise‑wide data platform that provides analytical insights and predictive capabilities, while addressing technical and departmental data silos.

Agile capability is fostered through design thinking and iterative development (Figure 7), allowing rapid prototyping and continuous product improvement.

AI integration progresses from isolated tools (e.g., voice recognition) to an AI middle‑platform that consolidates models, data, and services for diverse business needs (Figure 8).

Cloud + 5G architecture (Figure 9) extends operational space beyond wired networks, enabling edge computing and real‑time control across industries such as manufacturing, smart cities, healthcare, and finance.

IT organization evolves from a delivery‑focused model to a driver of digital change, requiring new governance, skill sets, and cost structures (Figure 10).

Common challenges—misaligned understanding, unclear goals, overwhelming options, talent shortages, and rigid legacy mechanisms—are addressed by PwC’s recommendations: unify thinking, set clear objectives, choose a balanced top‑down and bottom‑up path, establish appropriate governance models (Figure 12), and build IT capabilities through integrated resources and product‑oriented teams.

In summary, enterprises should leverage the pandemic as a catalyst, systematically resolve fragmented understanding, weak mechanisms, and capability gaps, and follow a customer‑centric, data‑driven roadmap to become leading digital organizations.