Course Outline
Introduction to Embedded GenBI in SaaS
- The definition of Embedded GenBI and its strategic value for SaaS products
- A snapshot of WrenAI’s capabilities for SaaS integration
- Critical factors to consider: scalability, user experience, and regulatory compliance
WrenAI Embedded API Fundamentals
- API endpoints, authentication mechanisms, and authorization protocols
- Query workflows and the process of embedding conversational analytics
- Best practices for seamless integration with SaaS architectures
White-Label Analytics and Customization
- Branding and stylistic customization of embedded dashboards
- Tailoring conversational interfaces to meet customer needs
- Managing role-based access and customer-specific configurations
Multi-Tenant Architectures
- Strategies for data isolation and security within Wren AI
- Configuring tenant-specific metrics, dashboards, and permissions
- Scaling WrenAI deployments to handle high-volume SaaS platforms
Performance and Monitoring
- Tracking embedded query performance and API utilization
- Implementing robust logging, auditing, and error handling
- Optimizing caching strategies, query patterns, and response times
Governance, Compliance, and Security
- Data protection standards, GDPR requirements, and other compliance considerations
- 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 Wren AI Embedded API into a sample SaaS application
- Setting up white-label analytics within a multi-tenant environment
- Demonstration and feedback session
Summary and Next Steps
Requirements
- Hands-on experience with SaaS platforms and API development
- Strong familiarity with data pipelines, SQL, and BI principles
- A foundational understanding 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
