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 Duration 14 hours

Course Outline

Introduction to Embedded GenBI in SaaS

  • The definition of Embedded GenBI and its strategic importance for SaaS products.
  • An overview of WrenAI’s capabilities specifically for SaaS integration.
  • Critical factors to consider: scalability, user experience, and compliance.

WrenAI Embedded API Fundamentals

  • Understanding API endpoints, authentication, and authorization mechanisms.
  • Navigating query workflows and integrating conversational analytics.
  • Best practices for aligning WrenAI with existing SaaS architectures.

White-Label Analytics and Customization

  • Applying branding and styling to embedded dashboards.
  • Tailoring conversational interfaces to meet specific customer needs.
  • Implementing role-based access controls and customer-specific configurations.

Multi-Tenant Architectures

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

Performance and Monitoring

  • Tracking embedded query performance and API usage metrics.
  • Implementing robust logging, auditing, and error handling processes.
  • Optimizing caching strategies, query patterns, and response times.

Governance, Compliance, and Security

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

Workshop: Deploying WrenAI in a SaaS Use Case

  • Hands-on lab: Integrating the WrenAI 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 development.
  • Strong knowledge of data pipelines, SQL, and business intelligence concepts.
  • Fundamental understanding of authentication, authorization, and multi-tenant architecture.

Target Audience

  • SaaS Product Leaders
  • Data Engineers
  • Full-Stack Developers

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