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Course Outline

Introduction to Embedded GenBI in SaaS

  • Understanding Embedded GenBI and its significance for SaaS products
  • Overview of WrenAI capabilities for SaaS integration
  • Key considerations: scale, user experience, and compliance

WrenAI Embedded API Fundamentals

  • API endpoints, authentication, and authorization mechanisms
  • Query workflows and embedding conversational analytics
  • Best practices for integrating with SaaS architectures

White-Label Analytics and Customization

  • Branding and styling of embedded dashboards
  • Customizing conversational interfaces for end-users
  • Role-based access and customer-specific configurations

Multi-Tenant Architectures

  • Approaches to data isolation and security in Wren AI
  • Tenant-specific metrics, dashboards, and permissions
  • Scaling WrenAI deployments for high-volume SaaS platforms

Performance and Monitoring

  • Monitoring embedded query performance and API usage
  • Implementing logging, audits, and error handling
  • Optimizing caching, query patterns, and response times

Governance, Compliance, and Security

  • Data protection, GDPR, and compliance considerations
  • Audit trails and evidence export
  • Ensuring reliability and transparency in embedded BI

Workshop: Deploying WrenAI in a SaaS Use Case

  • Hands-on lab: Integrate Wren AI Embedded API into a sample SaaS application
  • Configure white-label analytics with a multi-tenant setup
  • Demo and feedback session

Summary and Next Steps

Requirements

  • Experience working with SaaS platforms and APIs
  • Familiarity with data pipelines, SQL, and BI concepts
  • Basic understanding of authentication, authorization, and multi-tenant architectures

Audience

  • SaaS product leaders
  • Data engineers
  • Full-stack developers
 14 Hours

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