A new platform allows non-technical users to analyze data using natural language, connecting to Tableau sources for real-time insights.
The platform offers natural language interaction in multiple languages and meets internal security requirements. It integrates open-source Large Language Models (LLMs) with Tableau data sources, enabling users to obtain rapid insights without technical knowledge. This self-service solution is designed for data analysts and decision-makers.
Abstract
In corporate data analysis processes, the ability for users to perform data querying and data analysis using natural language, without needing technical knowledge, has become a critical requirement, especially for mid and senior-level managers. This study proposes a solution that offers natural language interaction in TR/EN languages and meets internal data security requirements. The platform connects to Tableau data sources through open-source LLM integration and communicates with data sources published in Tableau via the VDS API to provide real-time analysis and predictions. The architecture also has the flexibility to be integrated with cloud-native AI services in the future. The solution, with its self-service ease of use, enables data analysts and decision-makers to obtain rapid insights without having to worry about technical details.
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