Course Outline
Introduction to Embedded GenBI in SaaS
- Defining Embedded GenBI and its significance for SaaS product value.
- Overview of WrenAI capabilities tailored for SaaS integration.
- Key strategic considerations: scalability, user experience, and compliance.
WrenAI Embedded API Fundamentals
- Understanding API endpoints, authentication mechanisms, and authorization.
- Managing query workflows and integrating conversational analytics.
- Best practices for seamless integration with SaaS architectures.
White-Label Analytics and Customization
- Applying branding and styling to embedded dashboards.
- Customizing conversational interfaces for end-customer engagement.
- Configuring role-based access and tenant-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 support high-volume SaaS platforms.
Performance and Monitoring
- Tracking embedded query performance and API usage patterns.
- Implementing robust logging, audit trails, and error handling.
- Optimizing caching strategies, query patterns, and response times.
Governance, Compliance, and Security
- Addressing data protection standards, GDPR, and broader compliance requirements.
- Generating audit trails and exporting compliance evidence.
- Safeguarding 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 with a multi-tenant setup.
- Live demo and feedback session.
Summary and Next Steps
Requirements
- Practical experience working with SaaS platforms and APIs.
- Familiarity with data pipelines, SQL, and core BI concepts.
- Foundational understanding of authentication, authorization, and multi-tenant architecture principles.
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
