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 Duration 14 hours

Course Outline

Introduction to Embedded GenBI in SaaS

  • Understanding Embedded GenBI and its value for SaaS products
  • Overview of WrenAI's capabilities for SaaS integration
  • Key factors to consider: scalability, user experience, and compliance

WrenAI Embedded API Fundamentals

  • API endpoints, authentication, and authorization protocols
  • Query workflows and the integration of conversational analytics
  • Best practices for seamless integration with SaaS architectures

White-Label Analytics and Customization

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

Multi-Tenant Architectures

  • Strategies for data isolation and security within Wren AI
  • Configuring tenant-specific metrics, dashboards, and permissions
  • Scaling WrenAI deployments to support high-volume SaaS platforms

Performance and Monitoring

  • Monitoring embedded query performance and API utilization
  • Implementing robust logging, auditing, and error handling
  • Optimizing caching, query patterns, and response times

Governance, Compliance, and Security

  • Data protection standards, GDPR, and compliance requirements
  • Managing audit trails and evidence export
  • Ensuring reliability and transparency in embedded BI solutions

Workshop: Deploying WrenAI in a SaaS Use Case

  • Hands-on 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 session

Summary and Next Steps

Requirements

  • Practical experience with SaaS platforms and API integration
  • Working knowledge of data pipelines, SQL, and business intelligence principles
  • Fundamental grasp of authentication, authorization, and multi-tenant architectural patterns

Target Audience

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

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