Course Outline
Introduction to Embedded GenBI in SaaS
- Definition of Embedded GenBI and its strategic significance for SaaS product offerings
- Summary of WrenAI functionalities supporting SaaS integration requirements
- Critical factors: scalability, user experience standards, and regulatory compliance
WrenAI Embedded API Core Components
- API endpoint structures, authentication protocols, and authorization frameworks
- Query execution workflows and the integration of conversational analytics capabilities
- Recommended standards for aligning with SaaS architectural models
White-Label Analytics and Configuration
- Application of branding and visual styling to embedded dashboard interfaces
- Tailoring conversational interaction modules to meet specific customer needs
- Management of role-based access controls and tenant-specific system configurations
Multi-Tenant System Design
- Strategies for data segregation and security enforcement within the WrenAI environment
- Establishment of tenant-specific metrics, dashboard views, and permission sets
- Methods for scaling WrenAI infrastructure to support high-throughput SaaS platforms
Performance Optimization and Monitoring
- Tracking of embedded query efficiency and API consumption patterns
- Implementation of comprehensive logging, audit trails, and robust error handling mechanisms
- Refinement of caching strategies, query structures, and latency reduction techniques
Governance, Compliance, and Security Frameworks
- Adherence to data protection regulations, including GDPR, and compliance mandates
- Generation of audit records and exportable evidence for accountability purposes
- Safeguarding operational reliability and transparency in embedded business intelligence systems
Practical Exercise: Deploying WrenAI in a SaaS Context
- Practical session: Implementing the WrenAI Embedded API within a representative SaaS application
- Configuration of white-label analytics features within a multi-tenant environment
- Demonstration review and structured feedback discussion
Conclusion and Implementation Roadmap
Requirements
- Professional experience with SaaS platform operations and API integration
- Working knowledge of data pipelines, SQL standards, and business intelligence principles
- Fundamental understanding of authentication, authorization, and multi-tenant architectural models
Intended Audience
- SaaS product leadership
- Data engineering professionals
- Full-stack software 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