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 Duration 14 hours

Course Outline

Introduction to BI Modernization using WrenAI

  • Constraints inherent in legacy BI systems
  • Core features and strengths of WrenAI
  • Business drivers for modernization and expected outcomes

Evaluating Legacy BI Ecosystems

  • Conducting a comprehensive inventory of existing dashboards and reports
  • Pinpointing high-impact use cases
  • Performing a gap analysis between legacy setups and WrenAI capabilities

Formulating an Adoption Strategy

  • Engaging and aligning key stakeholders
  • Establishing pilot projects to demonstrate value
  • Developing a structured roadmap for rollout

Planning the Migration Process

  • Selecting effective approaches for dashboard migration
  • Aligning and transforming data models
  • Maintaining operational continuity throughout the transition

Leveraging Conversational Analytics with WrenAI

  • Generating SQL queries from natural language inputs
  • Facilitating interactive data exploration
  • Crafting user-centric analytics experiences

Implementing Embedded GenBI

  • Integrating WrenAI dashboards directly into applications
  • Utilizing APIs to extend BI functionality
  • Applying scenarios for internal tools and customer-facing applications

Change Management for BI Modernization

  • Communicating changes effectively across the organization
  • Training and upskilling team members
  • Tracking and measuring adoption success

Scaling Operations and Future Trends

  • Broadening adoption across various business units
  • Establishing governance and standards in modern BI
  • Exploring future trends in conversational and generative BI

Conclusion and Recommended Next Steps

Requirements

  • A solid grasp of business intelligence workflows
  • Hands-on experience with legacy BI platforms and dashboard creation
  • Knowledge of organizational change management principles

Target Audience

  • BI managers
  • Data platform Program Managers
  • Solutions architects

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