Course Outline
Introduction to Embedded GenBI in SaaS
- Understanding Embedded GenBI and its significance 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 mechanisms, and authorization protocols.
- Query workflows and embedding conversational analytics.
- Best practices for integration with existing SaaS architectures.
White-Label Analytics and Customization
- Branding and styling of embedded dashboards.
- Customizing conversational interfaces for end-users.
- Role-based access control and customer-specific configurations.
Multi-Tenant Architectures
- Strategies for data isolation and security within Wren AI.
- Tenant-specific metrics, dashboards, and permission settings.
- Scaling WrenAI deployments to support high-volume SaaS platforms.
Performance and Monitoring
- Monitoring embedded query performance and API utilization.
- Implementing logging, audit trails, and error handling procedures.
- Optimizing caching, query patterns, and response times.
Governance, Compliance, and Security
- Data protection measures, GDPR adherence, and compliance considerations.
- Audit trails and evidence export capabilities.
- Ensuring reliability and transparency in embedded BI solutions.
Workshop: Deploying WrenAI in a SaaS Use Case
- Hands-on lab: Integrating the Wren AI Embedded API into a sample SaaS application.
- Configuring white-label analytics within a 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)
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
David - McGraw Hill
Course - Data Preparation with Alteryx
lots of pratical exercises
