Course Outline
Introduction to Embedded GenBI in SaaS
- The definition of Embedded GenBI and its significance for SaaS products
- Overview of WrenAI capabilities for SaaS integration
- Primary factors to consider: scale, user experience, and compliance
Fundamentals of the WrenAI Embedded API
- API endpoints, authentication mechanisms, and authorization
- Query workflows and the integration of conversational analytics
- Best practices for aligning with SaaS architectures
White-Label Analytics and Customization
- Applying branding and styling to embedded dashboards
- Tailoring conversational interfaces for end users
- Managing role-based access and customer-specific settings
Multi-Tenant Architectures
- Strategies for data isolation and security within Wren AI
- Configuring 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 logging, auditing, and error handling procedures
- Enhancing caching, query patterns, and response speeds
Governance, Compliance, and Security
- Data protection standards, GDPR, and compliance requirements
- Maintaining audit trails and exporting evidence
- Guaranteeing reliability and transparency in embedded BI
Workshop: Deploying WrenAI in a SaaS Use Case
- 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
Conclusion and Next Steps
Requirements
- Proficiency in working with SaaS platforms and APIs
- Knowledge of data pipelines, SQL, and BI concepts
- Foundational understanding of authentication, authorization, and multi-tenant architectures
Target Audience
- SaaS product leaders
- Data engineers
- Full-stack developers
Testimonials (4)
Refactoring Exercise and Graph Visualization
Tiago Kocevar - Lang Energie AG / Osterwalder Zurich AG
Course - Business Intelligence and Data Analysis with Metabase
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
