Course Outline
Introduction to Embedded GenBI in SaaS
- Defining Embedded GenBI and its value proposition for SaaS products
- Exploring WrenAI's capabilities for SaaS integration
- Critical factors: scalability, user experience, and regulatory compliance
Core Concepts of the WrenAI Embedded API
- API endpoints, security protocols, and access control
- Query workflows and the integration of conversational analytics
- Best practices for aligning WrenAI with SaaS architectures
White-Label Analytics and Customization
- Applying branding and styling to embedded dashboards
- Tailoring conversational interfaces for end-users
- Configuring role-based access and customer-specific settings
Multi-Tenant Architectures
- Strategies for data isolation and security in Wren AI
- Managing tenant-specific metrics, dashboards, and permissions
- Scaling WrenAI deployments for high-volume SaaS platforms
Performance Optimization and Monitoring
- Tracking embedded query performance and API consumption
- Establishing robust logging, auditing, and error handling mechanisms
- Refining caching strategies, query patterns, and response latency
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
Practical Workshop: Deploying WrenAI in a SaaS Scenario
- Hands-on exercise: Integrating the Wren AI Embedded API into a sample SaaS application
- Setting up white-label analytics with a multi-tenant configuration
- Live demonstration and peer feedback session
Wrap-Up and Future Directions
Requirements
- Practical experience with SaaS platforms and API integration
- Working knowledge of data pipelines, SQL, and BI principles
- Foundational understanding of authentication, authorization, and multi-tenant architecture
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
