Overview
Insights Agents is an agent-driven platform developed using AWS Bedrock models, AWS Athena, AWS Redshift and other AWS native services, that interprets natural language queries and orchestrates a collaborative network of task-specific agents to generate business insights from structured data. When a user poses a question, the system intelligently decomposes it and activates the relevant set of agents, such as SQL generation, charting, insight narration, retrieval-augmented response, and ML modeling. These agents work in coordination, sharing context and outputs, to fulfill even complex analytical requests involving multi-table joins and predictive modeling. The tool dynamically adapts to user intent and delivers outputs in the form of queries, charts, summaries, or detailed diagnostics. Observability features track performance metrics like latency, cost, and token consumption, ensuring transparency and optimization. Insights Agents enables business users to move from questions to insights effortlessly, across a range of analytical complexity.
Highlights
- Each task - SQL, insights, charts, RAG, ML, or Python—is handled by a dedicated agent, enabling precise, composable, and explainable outputs.
- Handles multi-table joins, complex business metrics, ML models, and multi-modal outputs, including narrative summaries and visual analytics
- Empowers users to ask follow-up questions, refine queries, and explore data through an intuitive, chat-based interface—no SQL or coding required
Details
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Implementation of this framework is managed and executed by Tiger Analytics. The platform is implemented in the client AWS ecosystem by Tiger's Services Team, and the necessary support is provided through a standard model. An escalation matrix for different ticketing priorities will be agreed and defined in the Services Contract or SOW. Please reach out to insightsagents.support@tigeranalytics.com in case of any questions.