Course Outline
Introduction to Embedded GenBI in SaaS
- Understanding Embedded GenBI and its strategic value for SaaS products
- Overview of WrenAI capabilities for SaaS integration
- Key considerations: scalability, user experience, and compliance
Fundamentals of the WrenAI Embedded API
- API endpoints, authentication, and authorization mechanisms
- Query workflows and embedding conversational analytics
- Best practices for integrating with existing SaaS architectures
White-Label Analytics and Customization
- Branding and styling of embedded dashboards
- Customizing conversational interfaces for end customers
- Role-based access control and customer-specific configurations
Multi-Tenant Architectures
- Strategies for data isolation and security in Wren AI
- Tenant-specific metrics, dashboards, and permissions
- Scaling WrenAI deployments for high-volume SaaS platforms
Performance and Monitoring
- Monitoring embedded query performance and API usage
- Implementing logging, audits, and error handling
- Optimizing caching, query patterns, and response times
Governance, Compliance, and Security
- Data protection, GDPR, and compliance considerations
- Audit trails and evidence export
- Ensuring reliability and transparency in embedded BI
Workshop: Deploying WrenAI in a SaaS Use Case
- Hands-on lab: integrate Wren AI Embedded API into a sample SaaS app
- Configure white-label analytics with multi-tenant setup
- Demo and feedback session
Summary and Next Steps
Requirements
- Experience working with SaaS platforms and APIs
- Familiarity with data pipelines, SQL, and BI concepts
- Basic understanding of authentication, authorization, and multi-tenant architectures
Target Audience
- SaaS product leaders
- Data engineers
- Full-stack developers
Testimonials (4)
Abhi has excellent knowledge of Alteryx and he explained things very clearly. He understood our goals and created bespoke demo datasets that were relevant to our organisation, which was very impressive. The training was well-structured and delivered at a good pace, with time for questions.
Samuel Taylor - Manchester Metropolitan University
Course - Alteryx for Data Analysis
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
Used good examples, good pace of the training and covered most things
