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Course Outline

Introduction to Embedded GenBI in SaaS

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

Core Concepts of the WrenAI Embedded API

  • API endpoints, authentication protocols, and authorization mechanisms
  • Managing query workflows and embedding conversational analytics
  • Best practices for seamless integration with SaaS architectures

White-Label Analytics and Customization

  • Branding and styling options for embedded dashboards
  • Tailoring conversational interfaces to meet customer preferences
  • Implementing role-based access control and tenant-specific configurations

Multi-Tenant Architecture Strategies

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

Performance Optimization and Monitoring

  • Tracking embedded query performance and API utilization
  • Establishing robust logging, auditing, and error handling protocols
  • Enhancing caching strategies, query patterns, and response times

Governance, Compliance, and Security

  • Navigating data protection, GDPR requirements, and compliance standards
  • Maintaining audit trails and exporting evidence
  • Ensuring reliability and transparency in embedded BI systems

Workshop: Implementing WrenAI in SaaS Scenarios

  • Practical exercise: 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

Conclusion and Future Directions

Requirements

  • Practical experience with SaaS platforms and API integration
  • Proficiency in data pipelines, SQL, and core BI concepts
  • Foundational knowledge of authentication, authorization, and multi-tenant architectures

Target Audience

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

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