AI‑Powered Digital Economy Monitoring

By deeply integrating macro and micro‑level big data and leveraging AI‑driven analysis, we have built a "Digital Economy Intelligence Dashboard" platform that integrates monitoring, analysis, early warning, and visualization. It provides holistic insight into the development trends of the digital economy, delivering core data support for precise government decision‑making, scientific industrial planning, and coordinated regional development.

Solution Value

In the face of the rapid evolution and increasing complexity of the digital economy, traditional statistical and analytical methods fall short of delivering comprehensive, real‑time, and in‑depth insights. By deeply integrating micro‑level enterprise behavioral data with macro‑level government governance data, we have built the "Digital Economy Intelligence Dashboard"—an AI‑powered monitoring platform. Driven by an AI‑enabled data fusion and analytics engine, the platform quantifies and dynamically tracks key dimensions such as digital industrialization, industrial digitization, digital infrastructure, and emerging business models. It presents a holistic development panorama, regional rankings, and trend forecasts through rich visualizations, empowering government departments to accurately gauge developmental trends, formulate science‑based industrial policies, and efficiently evaluate implementation outcomes.

Core Modules

Panoramic Digital Economy Monitoring Dashboard

Focuses on core macroeconomic indicators, offering a single‑screen overview of national digital economy scale, its share of GDP, e‑commerce transaction value, mobile payment volume, global competitiveness of internet companies, new‑enterprise vitality, and other key trends—delivering impactful visual presentation and strategic insight.

In‑Depth Analysis Module: Industrial Digitization & Digital Industrialization

Quantitatively monitors the development of these two core engines. Tracks the added value and share changes of industrial digitization and digital industrialization, combined with detailed metrics such as penetration rates across sectors (services, industry, agriculture), growth in electronics manufacturing, registration and added value in information services—providing deep structural and growth‑driver analysis.

Digital Infrastructure & Resource Monitoring Module

Comprehensively monitors the development level of "cloud, network, and devices" (cloud‑edge‑end). Displays real‑time cloud usage and industry distribution, 5G deployment and user scale, data‑center market size and energy efficiency (PUE), cloud computing (IaaS/PaaS/SaaS) market structure, broadband network speed and penetration (IPv4/IPv6), enabling precise assessment of the digital foundation’s support capacity.

Dynamic Tracking Module: New Models & New Business Forms

Focuses on innovation vitality and market performance. Monitors development trends and growth dynamics in emerging fields such as the scale of sharing‑economy segments, online lifestyle services, internet content industry, digital‑payment transaction volume, and internet insurance.

GIS‑Based Spatial Analysis Platform for Regional Digital Economy

Leverages geographic information systems to dynamically display provincial/municipal rankings and comparisons across dimensions such as digital economy scale, industrial digitization, digital industrialization, and enterprise registration. Supports drill‑down queries, visually revealing regional development imbalances and collaboration potential.

Overall Architecture

The platform adopts a cloud‑native, tiered decoupled architecture of “Data – Model – Application”:

Data Resources & Acquisition Layer

Aggregates macro‑ and micro‑level multi‑source heterogeneous data from government departments, internet companies, statistical agencies, and third‑party data providers through APIs, data‑exchange platforms, web crawling, and other acquisition methods.

Data Governance & Fusion Layer

Uses a data factory (O3) for data cleaning, standardization, classification, and fusion. Constructs multidimensional topic databases and data lakes (e.g., for enterprises, projects, regions), ensuring data consistency, high quality, and traceability.

Indicator Models & AI Analysis Layer

Builds comprehensive evaluation index systems and predictive/early‑warning models for the digital economy based on business rules and machine‑learning algorithms. Enables automated calculation of metrics, trend analysis, anomaly detection, and ranking updates.

Visualization Applications & Presentation Layer

Employs a high‑performance visualization engine to deliver tailored interactive dashboards for both command‑center large screens and operational staff. Supports chart linkage, GIS integration, timeline playback, and multidimensional drill‑down/roll‑up, providing a flexible data exploration experience.

Key Advantages

Broad‑Spectrum Data Fusion

Break through traditional statistical boundaries, innovatively integrating enterprises’ micro-behavioral data with macro-governance data in depth to enable more three-dimensional and cutting-edge insights.

Scientific and Comprehensive Indicator System

Strictly follows the national digital‑economy statistical classification standard, covering core dimensions of the "Four‑Modernizations" framework with over 100 monitoring indicators—ensuring a comprehensive and authoritative evaluation system.

Intuitive and Impactful Visualization

Professional visual design transforms complex data into clear charts and dynamic maps, balancing macro‑trend presentation with micro‑detail querying to enhance decision‑making efficiency.

Real‑Time Dynamic Monitoring and Early Warning

Supports monthly, quarterly, and near‑real‑time data updates and display, quickly reflecting market changes and policy impacts, with built‑in potential for trend forecasting and anomaly alerts.

Flexible and Scalable Platform

Features a modular design that supports on‑demand subscription of thematic modules and allows customization of regional sub‑platforms based on local characteristics, enabling rapid integration with existing government systems.

Quantified Benefits

1. Enhanced Decision‑Making Efficiency
Consolidates digital‑economy information scattered across multiple departments and reports into a unified platform, providing leadership with “one‑stop” data access and reducing decision‑support latency by over 70%.

2. Lowered Monitoring Costs
Automates data collection and processing, replacing substantial manual statistical compilation and verification efforts, significantly cutting ongoing monitoring labor and time costs.

3. Precision Policy Evaluation
Enables quantitative assessment of the actual impact of industrial policies, investment promotion, and infrastructure initiatives through longitudinal and cross‑regional comparisons.

4. Early Identification of Growth Opportunities
Through keen detection of emerging models, business forms, and regional hotspots, it helps organizations get a head start in future industrial sectors and seize development advantages.

Application Scenarios

Provincial/Municipal Digital Economy Development Command‑Center Dashboard
Built for multiple regional industry authorities, it provides a real‑time panorama of local digital‑economy development, benchmarks against leading regions, and tracks major project progress—serving as a core window for daily operations, upward reporting, and external presentation.
Digital Industry Planning & Investment‑Promotion Decision Support
Based on the platform’s analysis of development scale, regional distribution, and enterprise concentration across sub‑sectors (e.g., cloud computing, integrated circuits, software & information services), it delivers data‑driven foundations for drafting industrial development plans and formulating targeted investment‑attraction strategies.
Digital Infrastructure Investment Effectiveness Evaluation
By continuously monitoring indicators such as 5G base‑station utilization, data‑center occupancy rates and PUE values, and cloud‑usage growth across sectors, it scientifically assesses the effectiveness of new infrastructure investments and optimizes future funding directions.
Regional Coordinated Development Monitoring
Leveraging GIS‑based spatial analysis, it continuously tracks imbalances in digital‑economy development across regions, providing quantitative references for formulating regional coordination policies and promoting balanced resource allocation.
Auxiliary Support for Digital‑Economy Statistical Accounting
The standardized, high‑quality data flows and indicator systems generated by the platform offer important supplementary data and methodological validation for official digital‑economy statistical accounting and value‑added measurement.

Contact us to make data your clear compass and intelligent engine for high‑quality development.

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