Course Outline
Introduction to Embedded GenBI within SaaS
- Defining Embedded GenBI and its value proposition for SaaS products
- Exploring WrenAI’s features for SaaS integration
- Critical factors: scalability, user experience, and regulatory compliance
Core Concepts of the WrenAI Embedded API
- Understanding API endpoints, authentication, and authorization mechanisms
- Managing query workflows and embedding conversational analytics
- Best practices for aligning with SaaS architectural standards
White-Label Analytics and Personalization
- Applying branding and styling to embedded dashboards
- Tailoring conversational interfaces to meet customer needs
- Implementing role-based access and tenant-specific configurations
Multi-Tenant System Design
- Strategies for data isolation and security within Wren AI
- Managing tenant-specific metrics, dashboards, and user permissions
- Scaling WrenAI instances to support high-volume SaaS platforms
Performance Optimization and Monitoring
- Tracking embedded query performance and API consumption
- Establishing logging, auditing, and robust error handling
- Enhancing caching strategies, query patterns, and response latency
Governance, Compliance, and Security Measures
- Addressing data protection, GDPR, and other compliance requirements
- Maintaining audit trails and exporting evidence
- Safeguarding reliability and transparency in embedded BI solutions
Practical Workshop: Deploying WrenAI in a SaaS Context
- 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 peer feedback session
Conclusion and Recommended Next Steps
Requirements
- Hands-on experience with SaaS platforms and API development
- Working knowledge of data pipelines, SQL, and BI frameworks
- Foundational understanding of authentication, authorization, and multi-tenant system design
Target Audience
- Product leaders in the SaaS sector
- 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
