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Course Outline

Introduction to BI Modernisation with WrenAI

  • Constraints of legacy BI systems
  • Core capabilities of WrenAI
  • Drivers for modernisation and expected business outcomes

Assessing Legacy BI Environments

  • Inventory of existing dashboards and reports
  • Identifying high-value use cases
  • Gap analysis between legacy BI and WrenAI

Adoption Strategy

  • Stakeholder engagement and alignment
  • Pilot projects and proof of value
  • Developing an adoption roadmap

Migration Planning

  • Approaches to dashboard migration
  • Data model alignment and transformation
  • Ensuring operational continuity during migration

Conversational Analytics with WrenAI

  • Generating SQL queries via natural language
  • Interactive data exploration
  • Designing user-centric analytics experiences

Embedded GenBI

  • Integrating WrenAI dashboards into applications
  • APIs for extending BI capabilities
  • Use cases for internal tools and customer-facing applications

Change Management for BI Modernisation

  • Communicating change across the organisation
  • Training and upskilling teams
  • Measuring adoption success

Scaling and Future Evolution

  • Expanding adoption across business units
  • Governance and standardisation in modern BI
  • Emerging trends in conversational and generative BI

Summary and Next Steps

Requirements

  • Understanding of business intelligence workflows
  • Experience with legacy BI platforms and dashboards
  • Familiarity with organisational change management principles

Audience

  • BI managers
  • Data platform Product Managers
  • Solutions architects
 14 Hours

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