Plan Szkolenia

Introduction to Embedded GenBI in SaaS

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

WrenAI Embedded API Fundamentals

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

White-Label Analytics and Customization

  • Branding and styling of embedded dashboards
  • Customizing conversational interfaces for customers
  • Role-based access and customer-specific configurations

Multi-Tenant Architectures

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

Performance and Monitoring

  • Monitoring embedded query performance and API usage
  • Implementing logging, audits, and error handling
  • Optimizing caching, query patterns, and response times

Governance, Compliance, and Security

  • Data protection, GDPR, and compliance considerations
  • Audit trails and evidence export
  • Ensuring reliability and transparency in embedded BI

Workshop: Deploying WrenAI in a SaaS Use Case

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

Summary and Next Steps

Wymagania

  • Doświadczenie w pracy z platformami SaaS i API
  • Znałosc koncepcji data pipelines, SQL i BI
  • Podstawowa wiedza na temat autentykacji, autoryzacji oraz architektury wieloklientowej

Adresaci

  • Liderzy produktów SaaS
  • Inżynierowie danych
  • Pełen-stańcy rozwijańcy
 14 godzin

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