How Traditional Enterprises Leverage Digital Transformation and Cloud‑Native Data Platforms

Traditional enterprises are confronting the challenges of new IT technologies, recognizing that digital transformation is essential to activate decades of accumulated core assets—such as customer relationships, data, brand, and supply chains—by converting them into online services that create new value.

— A Historical Review of Digital Business Development

During the first ten years after the birth of database technology, innovations were driven by business needs for transaction capabilities, with limited data analysis. In 1992, Bill Inmon introduced data warehouse theory, spurring rapid growth in business intelligence and MPP databases, ushering in the enterprise data warehouse era.

After 2010, internet-driven demand accelerated big data technologies, leading to the rise of data lakes, data marts, and AI-powered data science platforms. Enterprises began tackling data silos and building online data business systems, though these systems often remained isolated, interacting only through limited interfaces.

Before 2013, both internet and enterprise applications were primarily monolithic. The digital era demands a shift from product‑centric to user‑centric development, emphasizing experience.

Monolithic applications suffer from heavy coupling, low development efficiency, redundant effort, and long cycles. Microservices decompose applications into small, independently deployable services with lightweight data handling and communication, enabling faster delivery, flexible operations, and avoidance of redundant work. As microservice adoption scales, they can become foundational platforms empowering entire companies and industries.

To meet growing data demands, enterprises must develop numerous new data applications—real‑time, AI‑driven, and online services—requiring layered design, better data modeling, diverse computational capabilities, and elastic scaling, which ultimately necessitates cloud computing technologies to support flexible, elastic data services and applications.

— What Is Digital Transformation?

Data refers to any electronically recorded information such as sound, images, symbols, or text. Data resources are electronic records that can generate economic or social benefits for users or owners. The distinction between data and data resources lies in their usability and value creation.

Data value emerges when users analyze data to produce actionable insights that drive decisions, leading to cost reduction and efficiency gains. High‑quality data exhibits increasing returns to scale and positive feedback, whereas low‑quality data can hinder enterprises.

Digital transformation involves leveraging modern technologies and communications to change how enterprises create value for customers, integrating digital tech into products, services, and processes, and reshaping interactions with suppliers and partners.

— The Necessity of Digital Transformation

IDC surveys show that by 2018, 67% of the global top‑1000 and 50% of China’s top‑1000 companies consider digital transformation a strategic core. In the digital age, innovation speed is the primary competitive resource, making digital transformation indispensable for enterprises.

— Three‑Layer Business Model for Digital Transformation

The three layers are:

Data Model: Effective data usage is fundamental. Enterprises must transition from data‑scarce, experience‑driven approaches to data‑driven models, expanding data empowerment beyond developers to all frontline staff.

Application Model: Shift from monolithic to cloud‑native architectures, enabling rapid user‑driven iteration and AI‑powered applications, starting with key business pilots.

IT Model: Move from resource‑centric operations to business‑centric platforms, providing cloud‑native PaaS solutions that support data and application development.

— Summary

This article reviewed the history of digital development and outlined a three‑layer business model—data, application, and IT—to guide enterprise digital construction strategies. In today’s fast‑moving digital era, innovation speed is the key competitive resource, making digital transformation essential. The next article will explore the core capabilities required for an enterprise‑wide unified data platform.