Shifting from post-event statistics to pre-event and in-process monitoring and forecasting; from long-term monitoring to dynamic real-time monitoring—this is the new method for economic operation analysis in the era of big data. The Jiucifang big data economic operation analysis platform enables the use of big data to manage economic operations.
Currently, big data technology serves as a common foundation to address numerous major national needs, reconstructing the basic production materials and productivity of the socio-economic landscape, and is the core driving force for national innovation-driven development. For economic operation analysis, past methods adopted by decision-making departments often involved statistics and summaries, leading to delayed decision-making.
Based on an analysis of the industry and the current pain points in economic operation analysis, Jiucifang big data launched the economic operation analysis big data platform, aggregating economic data from various regions and departments. The platform closely focuses on the business pain points in the user’s economic operation field, providing big data analysis and decision support services for government, industry, enterprises, and public welfare through data collection, analysis, evaluation, forecasting, early warning, and decision-making service modules.
The platform comprehensively applies economic operation statistical indicators and non-statistical indicator data, scientifically utilizing non-statistical indicator data to predict economic operation trends, effectively addressing the issues of timeliness and effectiveness of traditional economic indicators in the field of economic operation analysis; establishing a sustainable optimized big data model to achieve precise predictions of economic operation data, promoting the shift from post-event monitoring to pre-event and in-process monitoring, and from long-term monitoring to dynamic real-time monitoring.
Meanwhile, the economic operation analysis big data platform covers various big data application scenarios including macroeconomics, regional economics, industry economics, and enterprise operations. The product utilizes time series forecasting, machine learning algorithms, etc., to model big data on indicators such as investment, production, consumption, efficiency, import and export, prices, and product inventory and sales, encompassing over 100 typical big data application scenarios in the fields of economic operation efficiency measurement, regional industrial spatial agglomeration analysis, economic development quality evaluation, and time series forecasting of economic indicators. This allows for flexible data cube drilling, data mining, forecasting, early warning, and visualization analysis of economic indicators, providing scientific data support for government economic decision-making, industry development planning, enterprise operations, and individual investments.
It is reported that the economic operation analysis big data platform developed by Jiucifang big data has already been applied in many provincial and municipal governments, meeting the needs of various levels of government, industry, and enterprises for precise monitoring and timely scheduling of economic operations.
During the application process, government representatives noted that the platform’s biggest feature is its ability to change the original lag in economic data statistics and post-event summaries, achieving advanced and dynamic forecasting. This is precisely the role that big data should play. Jiucifang big data, which has always focused on developing products with a big data mindset, has continuously explored since the company’s inception. To solve industry pain points, it is essential not only to use big data as a tool and means but also to possess a big data mindset. Among Jiucifang big data’s team of over a thousand, more than 800 are in product development, making it a leader in domestic big data professional technical teams. The economic operation analysis big data platform is just one of Jiucifang big data’s 57 big data platforms. These product platforms, which integrate data science and data tools, represent a group of the most innovative big data thinking products, bringing new development space to the long-lacking product development in the big data industry.
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