The system follows the economic operation analysis workflow of “Indicator Variation Monitoring → Problem Identification → Cause Analysis → Policy Recommendations.” It provides functions such as “indicator monitoring and early warning,” “problem discovery and analysis,” and “report preparation and publication,” enhancing the role of data in supporting economic analysis and assisting in the preparation of monthly city-wide economic reports.

A trend correlation mechanism is established between high-frequency business data and economic statistical indicators, enabling real-time prediction of lagging statistical data and timely perception of economic trends. For example, real-time industrial electricity consumption can be used to predict growth in large-scale manufacturing, while highway freight data can forecast logistics and warehousing output growth.

Monitoring and early warning are implemented through four functions: indicator monitoring, highlight analysis, benchmarking, and anomaly alerts. Indicators and detailed data are analyzed across three levels: macro (economic fundamentals), meso (industries and parks), and micro (key projects and enterprises). Comparisons are made across regions, historical data, and target goals to identify gaps and issue timely alerts, analyzing key economic indicators to highlight strengths and weaknesses.

Market entity activity evaluation serves as a “barometer” of the market environment and a “weather gauge” of real-time national economic performance. It provides a scientific, comprehensive, and timely assessment and ranking of enterprise development capabilities within the jurisdiction. This quantitative analysis supports policy formulation and adjustment for industrial transformation, investment attraction, and enterprise development initiatives.