AWS re:Invent 2025 - Build, govern, and share Amazon Quick Suite dashboards with Amazon SageMaker

Streamlining Analytics with Amazon SageMaker and Amazon QuickSuite

Addressing the Paradox of Choice in Data and Analytics

• The presentation discusses the "Paradox of Choice" - the idea that too many options can lead to decision fatigue and hinder productivity
• This problem manifests in various domains:
  • Retail consumers overwhelmed by product options
  • Entertainment industry users defaulting to algorithmic content recommendations
  • Enterprises struggling to manage and consume vast amounts of data from disparate sources

Bridging the Gap Between Data and Visualization

• The key challenges identified are:
  1. Disconnection between the data engineering pipeline and dashboard creation
  2. Lack of integrated governance for dashboards, leading to duplication and difficulty in discovery

Introducing Amazon SageMaker and Amazon QuickSuite

Amazon SageMaker

• An integrated platform for data, AI, and analytics with three main layers:
  1. SageMaker Unified Studio - a single environment for data scientists, engineers, analysts, and GEN AI developers
  2. SageMaker Catalog - provides data discovery and metadata management capabilities
  3. Integrates with various AWS services like Redshift, EMR, and SageMaker AI

Amazon QuickSuite

• A suite of tools that supersedes the previous Quicksight BI tool
• Key components:
  • QuickIndex - connects QuickSuite to a wide range of external data sources
  • QuickSite - for creating dashboards, storyboards, and pixel-perfect reports
  • QuickResearch - a natural language-based tool for generating research reports
  • QuickFlow - automation capabilities through integrations with external tools

Integrating SageMaker and QuickSuite

• The integration allows a seamless transition from data discovery and analysis in SageMaker to visualization and dashboard creation in QuickSuite
• Key features of the integration:
  • One-click transition from SageMaker to QuickSuite, with data access and permissions automatically managed
  • Automatic creation of QuickSuite data sources and datasets based on SageMaker data assets
  • Automatic cataloging of QuickSuite dashboards back into the SageMaker Catalog
  • Synchronization of user permissions between SageMaker and QuickSuite

Demonstration: Churn Analysis Use Case

The presentation includes a detailed demonstration showcasing the end-to-end workflow:

1. Data Discovery: The data analyst (Daniel) uses the SageMaker Catalog to discover and subscribe to a customer support data set, which is owned by the data owner (Priya).
2. Data Access: Priya approves Daniel's access request, and the necessary permissions are automatically set up behind the scenes.
3. Data Analysis: Daniel uses the SageMaker Unified Studio's query editor to perform exploratory analysis on the customer support data and create a table with the relevant metrics.
4. Visualization: Daniel transitions to QuickSuite, where the data set is automatically available. He creates an analysis with charts and visualizations to understand the impact of customer support metrics on churn rate.
5. Dashboard Creation: Daniel publishes the analysis as a dashboard in QuickSuite, enabling Q&A functionality and making it discoverable.
6. Catalog Integration: The dashboard is automatically registered as an asset in the SageMaker Catalog, where Daniel can add additional business metadata and share it with other users.

Nera's Perspective: Driving Innovation with Integrated Analytics

• Nera, a genomic diagnostics company, shares their experience in leveraging the SageMaker and QuickSuite integration:
  • Adopting a data mesh approach to enable distributed data ownership and self-service analytics
  • Empowering domain-specific teams to manage and visualize data independently
  • Combining data assets and dashboards in a centralized catalog for reusability and governance
  • Enabling quick iteration and innovation cycles by providing business users with self-service access to data and visualization tools

Key Takeaways

• The integration of SageMaker and QuickSuite addresses the challenges of data discovery, access, and visualization in a unified, governed workflow
• It enables data analysts and business users to seamlessly transition between data exploration, analysis, and dashboard creation
• The solution promotes a data mesh approach, allowing distributed data ownership and self-service analytics
• The centralized catalog and dashboard integration facilitate reusability, governance, and collaboration across the organization
• The real-world example from Nera demonstrates the business impact of this integrated analytics platform in driving innovation and agility