AI for BI: Cognitive Analytics on AWS

Transform traditional BI into cognitive analytics using Retrieval-Augmented Generation (RAG), Amazon Q, and Amazon QuickSight. Empower non-technical users to ask complex business questions via natural language—and get instant, secure, visual insights.

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Overview

Cognitive Analytics on AWS empowers businesses to move beyond outdated dashboards and manual reporting by enabling real-time, AI-powered insights. Built on AWS-native services like Amazon Q, Amazon QuickSight, and Amazon OpenSearch, this solution leverages Retrieval-Augmented Generation (RAG) to deliver natural language analytics that any business user can access—without writing a single line of SQL.

The solution includes the creation of a semantic data layer using vector databases and embedding models, integration with Amazon Q for intuitive, conversational data exploration, and QuickSight for dynamic visualizations with enterprise-grade governance. Our RAG architecture is tailored to support both structured and unstructured data, unlocking new levels of accessibility and intelligence across your reporting workflows.

Ideal for organizations with large BI teams, heavy reliance on static dashboards, or legacy data environments, Cognitive Analytics on AWS accelerates the shift to self-service, AI-driven decision-making. This modern analytics stack helps reduce reporting overhead, increase data accessibility across departments, and future-proof your business intelligence strategy.

Highlights

Real-time insights from enterprise data using Retrieval-Augmented Generation (RAG) and Amazon Q
Slash BI team workload by >90% by enabling natural language analytics via Amazon QuickSight
Fully AWS-native and secure—vectorized context stays inside your AWS Private Cloud

Details

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