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 Duration 14 hours

Course Outline

Introduction to Embedded GenBI in SaaS

  • The concept of Embedded GenBI and its significance for SaaS products
  • A look at WrenAI’s capabilities for SaaS integration
  • Critical factors: scalability, user experience, and compliance

WrenAI Embedded API Essentials

  • API endpoints, authentication methods, and authorization protocols
  • Query workflows and the integration of conversational analytics
  • Recommended strategies for integrating with SaaS architectures

White-Label Analytics and Personalization

  • Branding and styling of embedded dashboards
  • Tailoring conversational interfaces for end users
  • Role-based access control and tenant-specific settings

Multi-Tenant Architectures

  • Strategies for data isolation and security within Wren AI
  • Tenant-specific metrics, dashboards, and permission management
  • Scaling WrenAI deployments to handle high-volume SaaS platforms

Performance and Monitoring

  • Observing embedded query performance and API utilization
  • Setting up logging, audits, and robust error handling
  • Enhancing caching, query patterns, and response speed

Governance, Compliance, and Security

  • Data protection, GDPR, and other compliance requirements
  • Maintaining audit trails and exporting evidence
  • Ensuring reliability and transparency in embedded BI solutions

Workshop: Deploying WrenAI in a SaaS Scenario

  • Practical lab: integrating the Wren AI Embedded API into a sample SaaS application
  • Setting up white-label analytics with a multi-tenant configuration
  • Demonstration and feedback discussion

Conclusion and Future Directions

Requirements

  • Proficiency with SaaS platforms and APIs
  • Working knowledge of data pipelines, SQL, and BI principles
  • Fundamental grasp of authentication, authorization, and multi-tenant structures

Target Audience

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

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