Automating Ad Analysis: Potential of Agentic BI and Data Infrastructure
Published:Dec 28, 2025 14:42
•1 min read
•Qiita AI
Analysis
This article discusses the limitations of Text-to-SQL in practical data analysis, particularly in the context of advertising, and explores the potential of "Agentic BI" as a solution. It highlights the growing expectation for natural language queries in data analysis driven by advancements in generative AI. The article likely delves into how Agentic BI can overcome the shortcomings of Text-to-SQL by providing a more comprehensive and automated approach to ad analysis. It suggests that while Text-to-SQL has promise, it may not be sufficient for complex real-world scenarios, paving the way for more sophisticated AI-powered solutions like Agentic BI. The focus on data infrastructure implies the importance of a robust foundation for effective AI-driven analysis.
Key Takeaways
- •Text-to-SQL has limitations in real-world ad analysis.
- •Agentic BI offers a more comprehensive solution for automated ad analysis.
- •Robust data infrastructure is crucial for effective AI-driven analysis.
Reference
“"自然言語によるクエリ（Text-to-SQL）」への期待が高まっています。"”