CloudFrom Technology has released the first AI-native data analysis product in China, DataGPT, leading the trend of data analysis. This product is based on CloudFrom's self-developed versatile multimodal large model and adopts an innovative "analysis through conversation" interactive mode, making data analysis simple and natural. DataGPT has six core advantages: 1. Leading large model technology: Utilizing advanced large model technology to ensure efficient and accurate data analysis, meeting various complex statistical requirements. 2. Intelligent interactive experience: Supporting seamless switching between voice and text commands, users can communicate with the system in real-time, easily complete in-depth data analysis, and visually display results through visual charts. 3. Comprehensive data integration: DataGPT supports diverse data sources, including data middle platform, data warehouse, various relational databases, and local files, ensuring the security and stability of data connections. 4. Customized data assistant service: Providing personalized data assistant services for enterprises, quickly providing key data information through voice interaction, and assisting leadership decision-making. 5. Next-generation management cockpit construction: DataGPT helps enterprises build personalized data visualization centers, achieve voice interaction capabilities, and quickly construct professional-level data dashboards. 6. Empowering decision-making with intelligent insights: DataGPT deeply integrates public data resources with specific industry private data, conducts in-depth interpretation of chart reports, and provides powerful data insights to support enterprise strategic decision-making. Compared to traditional BI, DataGPT can solve challenges such as the difficulty of business departments in understanding data, low analysis efficiency, heavy workload of data departments, and high investment but low output in data construction. DataGPT can help enterprises quickly adapt to various scenarios in digital transformation, unleash the value potential of data assets, and usher in a new era of human-machine collaboration.