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 Duration 14 hours

Course Outline

Introduction to Modernizing BI with WrenAI

  • Constraints inherent in legacy BI systems.
  • Core features and benefits of WrenAI.
  • Drivers for modernization and expected business results.

Evaluating Legacy BI Setups

  • Cataloging current dashboards and reporting assets.
  • Pinpointing high-impact use cases for modernization.
  • Conducting gap analysis between legacy BI capabilities and WrenAI.

Crafting an Adoption Strategy

  • Fostering stakeholder engagement and alignment.
  • Implementing pilot projects to demonstrate value.
  • Developing a comprehensive adoption roadmap.

Migration Roadmap

  • Techniques for migrating dashboards effectively.
  • Aligning and transforming data models.
  • Maintaining operational continuity throughout the migration process.

Leveraging Conversational Analytics with WrenAI

  • Generating SQL queries from natural language inputs.
  • Enabling interactive data exploration.
  • Creating intuitive, user-centric analytics experiences.

Implementing Embedded GenBI

  • Integrating WrenAI dashboards into existing applications.
  • Utilizing APIs to broaden BI capabilities.
  • Applying use cases for internal tools and customer-facing applications.

Change Management for BI Modernization

  • Communicating changes effectively across the organization.
  • Providing training and upskilling for teams.
  • Tracking and measuring adoption success.

Scaling and Future Directions

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

Conclusion and Next Steps

Requirements

  • A solid grasp of business intelligence workflows.
  • Prior experience with legacy BI platforms and dashboard development.
  • A working knowledge of organizational change management principles.

Target Audience

  • BI managers.
  • Data platform product managers.
  • Solutions architects.

Testimonials (3)

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