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What is Amorphic BI?

Amorphic BI is an AI-powered analytics extension of the Amorphic ecosystem. Built on the robust foundation of AWS QuickSight, it transforms complex, fragmented datasets into clear, actionable business intelligence.

By integrating generative AI directly into the dashboard experience, Amorphic BI enables users at all technical levels to explore data using natural language, reducing the time from raw data to strategic decision-making.

Features

You can use Amorphic BI to:

  • Generate high-impact analyses, dashboards, and data topics.
  • Transform and utilize raw data into actionable insights.
  • Architect intuitive dashboards for advanced organizational reporting.
  • Construct curated topics to streamline natural language discovery.
  • Share assets with team members for cross-functional collaboration.

Use the BI app in the following places:

  • Your desktop web browser.
  • Your mobile device as a web app, for basic asset management and topic interaction.

Feature requires Amazon Q enabled in the environment.

Enhance Insights with Amazon Q

Amorphic BI leverages Amazon Q, a generative AI-powered assistant, to redefine how you interact with your business data. Amazon Q acts as a sidekick for your analytics, helping you build, discover, and share insights later.

Isometric diagram showing transformation from traditional data processing to integrated intelligence

You can start using Amazon Q in several ways, depending on your role and your organization's specific data needs. By leveraging this generative AI assistant, you can experience the following advantages:

  • Accelerated Dashboard Authoring: Shift from manual chart building to conversational design by simply describing the visuals you need.
  • Narrative-Driven Insights: Move beyond static graphs with automated "Data Stories" that explain trends and anomalies in plain language.
  • Conversational Data Discovery: Explore complex datasets through a chat-based interface that allows for deep-dive, follow-up questioning.
  • Enhanced Decision Support: Empower every user to make evidence-based decisions by reducing the technical barriers to data analysis.