Course Outline

Introduction to Embedded GenBI in SaaS for Government

  • What is Embedded GenBI and why it matters for government SaaS products
  • Overview of WrenAI capabilities for government SaaS integration
  • Key considerations: scale, user experience (UX), and compliance

WrenAI Embedded API Fundamentals

  • API endpoints, authentication, and authorization for government applications
  • Query workflows and embedding conversational analytics in government systems
  • Best practices for integrating with government SaaS architectures

White-Label Analytics and Customization

  • Branding and styling of embedded dashboards for government use
  • Customizing conversational interfaces to meet the needs of government customers
  • Role-based access and customer-specific configurations for government agencies

Multi-Tenant Architectures

  • Approaches to data isolation and security in WrenAI for government applications
  • Tenant-specific metrics, dashboards, and permissions for government tenants
  • Scaling WrenAI deployments for high-volume government SaaS platforms

Performance and Monitoring

  • Monitoring embedded query performance and API usage in government systems
  • Implementing logging, audits, and error handling for government compliance
  • Optimizing caching, query patterns, and response times for government applications

Governance, Compliance, and Security

  • Data protection, GDPR, and compliance considerations for government use
  • Audit trails and evidence export for government audits
  • Ensuring reliability and transparency in embedded BI for government operations

Workshop: Deploying WrenAI in a Government SaaS Use Case

  • Hands-on lab: integrate Wren AI Embedded API into a sample government SaaS app
  • Configure white-label analytics with multi-tenant setup for government agencies
  • Demo and feedback session for government participants

Summary and Next Steps

Requirements

  • Experience working with Software as a Service (SaaS) platforms and Application Programming Interfaces (APIs)
  • Familiarity with data pipelines, Structured Query Language (SQL), and Business Intelligence (BI) concepts
  • Basic understanding of authentication, authorization, and multi-tenant architectures for government

Audience

  • SaaS product leaders
  • Data engineers
  • Full-stack developers
 14 Hours

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