Course Outline
Introduction to Embedded GenBI in SaaS
- Defining Embedded GenBI and its significance for SaaS products
- An overview of WrenAI's features for SaaS integration
- Critical factors to consider: scalability, user experience, and regulatory compliance
Fundamentals of the WrenAI Embedded API
- Understanding API endpoints, authentication mechanisms, and authorization
- Workflow strategies and integrating conversational analytics
- Best practices for aligning with SaaS architectural standards
White-Label Analytics and Customization
- Applying branding and styling to embedded dashboards
- Tailoring conversational interfaces to meet customer needs
- Implementing role-based access controls and customer-specific settings
Multi-Tenant Architectures
- Strategies for data isolation and security within Wren AI
- Managing tenant-specific metrics, dashboards, and permission sets
- Scaling WrenAI deployments to handle high-volume SaaS traffic
Performance Optimization and Monitoring
- Tracking embedded query performance and API utilization
- Establishing robust logging, audit trails, and error handling processes
- Enhancing caching strategies, query patterns, and response speeds
Governance, Compliance, and Security
- Addressing data protection, GDPR requirements, and other compliance standards
- Generating audit trails and exporting compliance evidence
- Ensuring reliability and transparency in embedded BI systems
Workshop: Deploying WrenAI for a SaaS Use Case
- Practical lab: integrating the Wren AI Embedded API into a sample SaaS application
- Setting up white-label analytics within a multi-tenant framework
- Demonstration and feedback session
Summary and Future Steps
Requirements
- Practical experience with SaaS platforms and API interactions
- Proficiency in data pipelines, SQL, and core BI concepts
- Foundational knowledge of authentication, authorization, and multi-tenant architectures
Target Audience
- SaaS product leaders
- 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
