企业数智驱动白皮书

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The concept of "Digital Intelligence Driven" is emerging as a key driver for enterprise transformation, emphasizing the integration of data and intelligence to enhance operational efficiency and innovation [2][6][12] - The report outlines a five-level framework for digital transformation, ranging from "Human Driven" to "Digital-Intelligence Driven," highlighting the progressive enhancement of capabilities through the SUPA model (Sensing, Understanding, Planning, Action) [2][68][90] Summary by Sections Section 1: Diverse Interpretations of Digital Intelligence - Various companies define "Digital Intelligence" differently based on their core business and strategic needs, with models emphasizing collaboration between digitalization and intelligence [20][21] - Notable frameworks include Yonyou's "1-2-3" model focusing on digital and intelligent synergy, Alibaba's "five steps" for full-chain transformation, and Tencent's "Industrial Internet" strategy [9][21] Section 2: Six Key Characteristics of Digital Intelligence - The report identifies six essential traits of digital intelligence: Real-time Perception, Quick Response, Proactive Response, Rapid Iteration, Self-Evolution, and Self-Determined Automation [14][52][58] - These traits enable enterprises to adapt to market changes and enhance competitiveness [58] Section 3: The Ubiquity of SUPA - The SUPA model serves as a foundational framework for enterprise digital operations, integrating data collection, analysis, decision-making, and execution into a closed loop [34][40] - Each phase of the SUPA model represents different capabilities, facilitating effective operations in dynamic environments [40][41] Section 4: Definition of Digital Intelligence and Its Relation to SUPA - The report posits that "data self-determination" and "intelligent generation" are core to achieving the highest form of digital intelligence in enterprises [68][69] - The transition through the five levels of digital intelligence involves gradual enhancement of SUPA capabilities [68][90] Section 5: Level 0: Human Driven - In this initial stage, enterprises rely heavily on human judgment and experience for data collection and decision-making, leading to inefficiencies [70][75] - The characteristics of the SUPA model at this level highlight the limitations of human-driven processes [75][100] Section 6: Level 1: Process Driven - The introduction of Management Information Systems (MIS) standardizes and automates processes, enhancing operational efficiency and decision quality [102] - This level emphasizes the importance of standardized operations and the challenges of flexibility in rapidly changing environments [102]