Course Outline
Introduction to Embedded GenBI in SaaS
- Understanding Embedded GenBI and its value proposition for SaaS products
- Overview of WrenAI's core capabilities for SaaS integration
- Critical factors to consider: scalability, user experience, and compliance
Foundations of the WrenAI Embedded API
- Exploring API endpoints, authentication mechanisms, and authorization
- Defining query workflows and embedding conversational analytics
- Best practices for seamless integration with existing SaaS architectures
White-Label Analytics and Customization
- Applying branding and styling to embedded dashboards
- Tailoring conversational interfaces to meet customer needs
- Implementing role-based access control and customer-specific configurations
Multi-Tenant Architectures
- 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 and Monitoring
- Tracking embedded query performance and API utilization
- Establishing robust logging, audit trails, and error handling
- Optimizing caching strategies, query patterns, and response times
Governance, Compliance, and Security
- Navigating data protection, GDPR, and broader compliance requirements
- Maintaining audit trails and facilitating evidence export
- Ensuring reliability and transparency in embedded BI solutions
Workshop: Deploying WrenAI in a SaaS Context
- Practical lab: 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
Summary and Future Roadmap
Requirements
- Practical experience with SaaS platforms and API development
- Solid understanding of data pipelines, SQL, and core BI concepts
- Fundamental knowledge of authentication, authorization, and multi-tenant architectural patterns
Target Audience
- SaaS product leaders
- Data engineers
- Full-stack developers
Testimonials (4)
That it was very practical.
Alfonso Ramos - Banco de Mexico
Course - Fundamentos de Integración de Datos Pentaho
Machine Translated
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
