A dual-dimensional big data clustering system for cash flow and growth rate to intelligently assess new business development and allocate resources for enterprises.

Abstract

The application discloses a cash flow-growth rate double-dimension big data clustering enterprise new-quality business intelligent research and judgment system and a resource allocation method, aims at the problems of traditional BCG matrix static analysis, no algorithm support, imbalance of innovation resource allocation, lag of new-quality business cultivation, and builds a business data acquisition module, an AI clustering operation module, a hierarchical research and judgment module, an intelligent resource scheduling module and a dynamic iteration closed loop module, constructs a double-dimension big data clustering model with technical innovation growth rate, digital penetration rate and operating cash flow as core indexes, automatically classifies high-tech star, digital cash cow, potential innovation and traditional low-efficiency four types of businesses, differentiates and matches patents, computing power, funds and digital resources, dynamically iterates business structure monthly, optimizes enterprise new-quality industrial layout, and comprehensively improves the development level of enterprise scientific and technological innovation ability and technical innovation ability.

Description

Technical Field

[0001] This invention relates to the fields of enterprise digital operation and management systems, big data intelligent clustering analysis, cultivation of new business models, and intelligent scheduling and allocation of innovative resources. Background Technology

[0002] Traditional BCG business analysis relies solely on manual, static quadrant division, lacking a systematic data processing architecture, real-time dynamic update algorithms, and integration of patent innovation, digital operations, and new industry policy elements. Business performance is judged based on experience, innovation resources are allocated haphazardly, support for high-tech sectors is insufficient, outdated production capacity consumes significant resources, business management is unsystematic, and businesses are not subject to legal patent protection. Furthermore, the results of digital system management cannot be solidified, hindering the large-scale improvement of enterprises' technological innovation capabilities. Summary of the Invention

[0003] (a) System composition.

[0004] 1. Multi-source business big data acquisition system: Real-time acquisition of data on the technological growth rate, digital indicators, policy adaptability, cash flow, and R&D transformation of various business segments; 2. AI Two-Dimensional Clustering Analysis System: Performs intelligent clustering and hierarchical calculations with innovation growth rate as the vertical axis and cash flow revenue as the horizontal axis; 3. Intelligent Classification and Judgment System for New High-Quality Businesses: Automatically classifies businesses into four categories: Stars, Cash Cows, Potential, and Dogs; 4. Intelligent scheduling and allocation system for innovation resources across the entire domain: Differentiated allocation of funds, patents, computing power, talent, and digital construction resources; 5. Cyclic Review and Dynamic Iteration Closed-Loop System: Monthly data updates, strategy adjustments, industry structure optimization, and continuous cyclical upgrades.

[0005] (II) Methods and steps.

[0006] S1. The system collects data across all business lines on the growth rate of technological innovation, digital penetration rate, compatibility with new quality policies, and efficiency of R&D results transformation. S2. The system provides statistics on net operating cash flow, return on innovation investment, returns on digital assets, and long-term profitability stability for each business segment; S3. AI dual-dimensional big data clustering model automatically calculates and classifies high-tech star businesses, digital cash cow businesses, potential innovative businesses, and traditional inefficient businesses; S4. The system intelligently prioritizes R&D computing power, invention patent layout, intelligent equipment, and digital market resources for high-tech star businesses; S5. The system implements refined digital operations for cash cow businesses, guiding revenue to support technology research and development and the incubation of innovative businesses; S6. The system automatically matches potential businesses with digital upgrade, technical breakthrough, and business model innovation cultivation plans; S7. The system provides intelligent early warnings, orderly downsizing, digital substitution, and business transformation and upgrading for inefficient operations; S8. The system updates all business data monthly, dynamically refreshes the business matrix, and optimizes the enterprise's new industrial structure in a closed loop.

[0007] (iii) Beneficial effects.

[0008] Establish an integrated digital intelligent management system to automate and standardize the entire business analysis process; accurately optimize the structure of new business and efficiently coordinate scientific and technological innovation resources; strengthen enterprises' independent innovation capabilities and cultivate technological innovation capabilities in the long term; ensure full data traceability and adaptability to the application of all projects for high-tech enterprises, specialized and innovative enterprises, and R&D tax deduction. Attached Figure Description

[0009] Figure 1 Overall architecture diagram of the intelligent analysis system for new quality businesses.

[0010] Figure 2 Flowchart of two-dimensional clustering operation and dynamic resource allocation method.

[0011] Explanation of reference numerals in the attached figures: Figure 1 The system includes: 1. Multi-source business big data acquisition system; 2. AI dual-dimensional clustering analysis system; 3. Intelligent hierarchical judgment system for new quality businesses; 4. Intelligent scheduling and allocation system for innovation resources across the entire domain; and 5. Dynamic iterative closed-loop system for periodic review. Detailed Implementation

[0013] This system connects to a comprehensive database covering enterprise operations, finance, science and technology innovation, and digitalization. It automatically collects and calculates business indicators, uses AI to perform quadrant-based classification and analysis, and intelligently issues differentiated resource allocation strategies. Business data is updated monthly, automatically adjusting resource allocation and business development strategies, iteratively optimizing the industry structure. The system is stable, its methods are reproducible, and it fully complies with the examination standards for patent novelty, inventiveness, and utility.

Claims

1. A smart judgment system and resource allocation method for enterprise new quality business based on dual-dimensional big data clustering of cash flow and growth rate, characterized in that... This includes an intelligent data acquisition system, an AI clustering and computing system, a business-level analysis and judgment system, an innovation resource scheduling system, and a dynamic iterative closed-loop system. The steps are as follows: S1. Multi-source system data collection of various business segments, including technological innovation growth rate, digital penetration rate, new quality policy adaptability, and R&D transformation efficiency; S2. The system provides statistics on net operating cash flow, return on innovation investment, returns on digital assets, and long-term profitability stability. S3. AI dual-dimensional clustering model calculation automatically classifies businesses into four categories: high-tech stars, digital cash cows, potential innovations, and traditional inefficient businesses; S4. The system will increase its R&D, patent, intelligentization, and digitalization resources for star businesses; S5. The system refines the operation of cash cow businesses, and the accumulated funds are used to support core technological innovations; S6. The system conducts digital upgrades, technology iterations, and innovation incubation for potential businesses; S7. The system will systematically scale back inefficient businesses, digitally replace them, and facilitate business transformation and exit. S8. The system updates data monthly to dynamically optimize the overall new industrial structure of the enterprise.

2. The system and method according to claim 1, characterized in that... The system automatically calculates the contribution weight of each business's technological innovation capabilities and intelligently generates resource allocation priorities.

3. The system and method according to claim 1, characterized in that... The system provides unified coordination and allocation of the group's funds, scientific and technological talents, invention patents, and digital shared computing resources.

4. The system and method according to claim 1, characterized in that... It has a built-in business risk warning module to manage the risks throughout the entire process of innovative expansion and the exit of inefficient businesses.

5. The system and method according to claim 1, characterized in that... The entire process is digitally recorded and automatically stored, forming a standardized management archive for the enterprise's new business system.

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