Course Outline
Introduction to Embedded GenBI within SaaS
- Defining Embedded GenBI and its significance for SaaS offerings
- Examining WrenAI's core features for SaaS integration
- Critical factors: scalability, user experience, and regulatory compliance
Core Concepts of the WrenAI Embedded API
- API endpoints, secure authentication, and permission management
- Structuring query workflows and embedding conversational analytics
- Best practices for aligning with SaaS architectural standards
White-Label Analytics and Personalization
- Applying branding and styling to embedded dashboards
- Tailoring conversational interfaces to meet customer needs
- Managing role-based access and client-specific settings
Multi-Tenant System Design
- Strategies for data isolation and security within Wren AI
- Configuring tenant-specific metrics, dashboards, and access rights
- Scaling WrenAI for high-throughput SaaS platforms
Performance Optimization and Oversight
- Monitoring embedded query efficiency and API consumption
- Establishing robust logging, audit trails, and error resolution
- Enhancing caching mechanisms, query structures, and response speed
Governance, Compliance, and Security Protocols
- Navigating data protection, GDPR, and other compliance requirements
- Maintaining audit logs and exporting evidence
- Safeguarding 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 review session
Conclusion and Future Pathways
Requirements
- Practical experience with SaaS platforms and API interactions
- Working knowledge of data pipelines, SQL, and BI fundamentals
- Foundational grasp of authentication, authorization, and multi-tenant system design
Target Audience
- SaaS product leadership
- Data engineering specialists
- Full-stack development professionals
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
