AI-Powered BI Transformation with Amazon Redshift and QuickSight Q
Client Story
We successfully implemented a scalable, AI-driven business intelligence (BI) platform for SaaS by integrating Amazon Redshift with Amazon QuickSight Q. Erbis enabled advanced analytics, multi-tenancy, and generative AI capabilities while embedding seamless BI experiences into the client’s application.
The Challenge
The client, a multi-tenant SaaS platform, faced:
- Siloed data across tenants with no unified analytics
- Manual reporting processes and limited self-service BI
- No centralized disaster recovery plan existed for restoring Security concerns around data isolation and user access
- Demand for AI-powered insights to enhance decision-making
The Solution
We designed a serverless BI architecture leveraging:
- Amazon Redshift for centralized data warehousing
- Amazon QuickSight Q for generative AI-driven analytics
- Keycloak for SSO and identity management
- Row-Level Security (RLS) for multi-tenant data isolation
- Embedded dashboards and Q&A within the client’s application
- Migrated raw data from disparate sources to Amazon Redshift using AWS DMS
- Created materialized views and automated refresh schedules to unify data for BI workloads
- Integrated Redshift datasets with QuickSight, enabling real-time analytics
- Federated QuickSight access with Keycloak to enable single sign-on (SSO) for enterprise users
- Mapped Keycloak user groups to IAM roles, ensuring secure, role-based access to dashboards
- Implemented row-level security (RLS) to isolate tenant data within shared datasets
- Configured tenant-specific data filters using Redshift views and QuickSight RLS rules
- Used QuickSight’s JavaScript SDK to embed interactive dashboards directly into the front-end
- Published tenant-specific dashboards with dynamic URL parameters for personalized views
- Embedded Amazon Q in QuickSight to enable natural language queries (e.g., “Show top-selling products by region”)
- Enabled multi-visual Q&A, allowing users to explore data through AI-generated insights and executive summaries
Implementation involved the following steps:
1. Redshift-QuickSight Integration
2. Keycloak SSO Configuration
3. Multi-Tenant Security with RLS
4. Embedded Dashboards & Console
5. Generative Q&A Experience
Bring AI to your BI
Tech stack
- Amazon QuickSight Q
- AWS Glue
- Amazon Redshift
- KeyCloak
- AWS IAM
- JavaScript SDK
The Results
- 60% faster insights with AI-driven visualizations and automated reporting
- Secure multi-tenancy via RLS, ensuring data isolation without infrastructure duplication
- 80% reduction in manual efforts through self-service Q&A and embedded dashboards
- Unified user experience with SSO and customized analytics embedded in the application
Combining Amazon Redshift’s scalability with QuickSight Q’s generative AI, we transformed our client’s BI capabilities into a modern, secure, and user-centric platform. The solution democratized data access across tenants, reduced operational overhead, and positioned the client to leverage AI for predictive analytics. This implementation underscores Erbis’ expertise in delivering cutting-edge, cloud-native BI solutions tailored to complex SaaS environments.
Ready to Transform Your BI Capabilities?
Unlock the power of AI-driven analytics, secure multi-tenancy, and seamless embedded dashboards—just like our SaaS client did. Partner with Erbis to build scalable, cloud-native BI solutions that deliver real-time insights and empower your users
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