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 Duration 14 hours

Course Outline

Overview of BI Modernization with WrenAI

  • Constraints of traditional legacy BI systems.
  • Core capabilities offered by WrenAI.
  • Key drivers for modernization and expected business outcomes.

Evaluating Legacy BI Environments

  • Cataloging current dashboards and reports.
  • Highlighting high-value use cases for transition.
  • Conducting a gap analysis between legacy BI and WrenAI.

Formulating an Adoption Strategy

  • Aligning and engaging key stakeholders.
  • Establishing pilot projects to demonstrate value.
  • Developing a comprehensive adoption roadmap.

Migration Planning

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

Leveraging Conversational Analytics with WrenAI

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

Implementing Embedded GenBI

  • Integrating WrenAI dashboards into existing applications.
  • Utilizing APIs to expand BI functionality.
  • Applications for internal tools and customer-facing interfaces.

Change Management for BI Modernization

  • Effective communication of change across the organization.
  • Training programs to upskill teams.
  • Tracking and measuring adoption success.

Scaling and Future Development

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

Recap and Recommended Next Steps

Requirements

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

Target Audience

  • BI Managers.
  • Data Platform Product Managers.
  • Solutions Architects.

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