如何用AI工具自动生成企业年度经营分析报告

Group 1 - The article discusses how AI tools can automate the generation of annual business analysis reports, enhancing efficiency and maintaining analytical depth comparable to manual writing [1][9] - Data preparation involves integrating multi-source data from ERP, CRM, and financial systems, utilizing AI tools for data cleaning and standardization [3][4] - Key performance indicators (KPIs) are selected for analysis, such as revenue growth rate, gross margin, and net cash flow, with AI tools generating comparative metrics [4] Group 2 - Various AI tools are recommended, including general-purpose tools like GPT-3/4 for text generation and DeepSeek for data modeling, as well as specialized tools like Quill for financial reporting [4][5] - The report generation process is template-driven, allowing users to upload cleaned data and select preset templates for automatic report creation [4][5] - Manual proofreading and optimization are essential, focusing on data accuracy checks and logical coherence adjustments to ensure the quality of AI-generated reports [7][8] Group 3 - Typical application scenarios include financial analysis modules that automatically generate balance sheets and profit and loss statements, as well as market trend forecasting [6][8] - Data security is emphasized, recommending local deployment of AI tools to protect sensitive business data, along with originality checks for AI-generated content [6] - The article concludes that companies can improve report writing efficiency by over 60% while ensuring depth of analysis, with future advancements expected in fully automated report generation [9]