Course Outline
Intro to Embedded GenBI in SaaS Ecosystems
- Defining Embedded GenBI and its significance for SaaS offerings
- Overview of WrenAI features for SaaS integration
- Core factors: scalability, user experience, and regulatory compliance
Basics of the WrenAI Embedded API
- API endpoints, authentication mechanisms, and authorization
- Query workflows and the integration of conversational analytics
- Optimal practices for aligning with SaaS architectures
White-Label Analytics and Personalization
- Applying branding and styling to embedded dashboards
- Customizing conversational interfaces for end users
- Role-based access controls and tenant-specific settings
Multi-Tenant Architecture Strategies
- Strategies for data isolation and security within Wren AI
- Managing tenant-specific metrics, dashboards, and permissions
- Scaling WrenAI implementations for high-traffic SaaS platforms
Performance Optimization and Monitoring
- Monitoring embedded query speed and API consumption
- Establishing logging, auditing, and error management protocols
- Enhancing caching strategies, query patterns, and response latency
Governance, Compliance, and Security Standards
- Data protection, GDPR, and other compliance requirements
- Maintaining audit trails and exporting evidence
- Ensuring reliability and transparency in embedded BI systems
Workshop: Implementing WrenAI in a SaaS Scenario
- 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 Path Forward
Requirements
- Practical experience with SaaS platforms and API development
- Knowledge of data pipelines, SQL, and BI principles
- Fundamental understanding of authentication, authorization, and multi-tenant structures
Target Audience
- SaaS product managers
- 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
