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
Testimonials (3)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
lots of pratical exercises