System

A system comprising:

• circuitry configured to:
• receive, via a communication interface coupled to a packet-switched network, first structured data and second structured data from respective data sources, normalize identifiers and formats, and generate an integrated dataset stored in accordance with an information structure comprising attribute types and constraint conditions;
• compute quantitative indicator data from the integrated dataset including change rates, ratios, and allocation amounts per unit quantity, and generate evaluation criteria based on the indicator data;
• generate a prompt sentence incorporating the evaluation criteria and an analysis result derived from the indicator data, supply the prompt sentence to a generative neural network model, and receive draft document data from the generative neural network model;
• and
• generate tabular data and graphical data from the indicator data and compose output document data by incorporating the tabular data and the graphical data into the draft document data according to a predetermined output format.

A method performed by circuitry, the method comprising:

• receiving, via a communication interface coupled to a packet-switched network, first structured data from a first data source and second structured data from a second data source, normalizing formats and identifiers of the first structured data and the second structured data, and generating an integrated dataset by associating the normalized first structured data with the normalized second structured data;
• setting, in a storage device, an information structure comprising attribute types, constraint conditions, and association relationships, and storing the integrated dataset in accordance with the information structure while maintaining referential consistency;
• generating indicator data from the integrated dataset by computing quantitative metrics including change rates, ratios, and allocation amounts per unit quantity, and generating evaluation criteria based on the indicator data;
• generating an analysis result comprising an information summary and a resource-distribution plan over a plurality of time periods based on the evaluation criteria and the indicator data, and storing the analysis result as structured data in the storage device;
• generating an input dataset comprising a prompt sentence, the evaluation criteria, and the analysis result, and supplying the input dataset to a generative neural network model;
• receiving response data from the generative neural network model comprising draft document data for a plurality of document types over a plurality of time periods;
• and
• generating tabular data and graphical data conforming to a predetermined output format based on the response data and the indicator data, and composing output document data incorporating the tabular data and the graphical data into the draft document data.