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Course Outline

Introduction to BI Modernization with WrenAI

  • Limitations inherent in legacy BI systems.
  • Core capabilities offered by WrenAI.
  • Drivers for modernization and expected business outcomes.

Assessing Legacy BI Environments

  • Cataloging existing dashboards and reports.
  • Identifying high-value use cases.
  • Conducting gap analysis between legacy BI and WrenAI.

Adoption Strategy

  • Engaging stakeholders and ensuring alignment.
  • Launching pilot projects to demonstrate value.
  • Developing a roadmap for adoption.

Migration Planning

  • Methods for dashboard migration.
  • Aligning and transforming data models.
  • Maintaining business continuity during migration.

Conversational Analytics with WrenAI

  • Generating SQL queries via natural language.
  • Facilitating interactive data exploration.
  • Designing user-centric analytics experiences.

Embedded GenBI

  • Integrating WrenAI dashboards into applications.
  • Using APIs to extend BI capabilities.
  • Exploring use cases for internal tools and customer-facing apps.

Change Management for BI Modernization

  • Communicating changes across the organization.
  • Training teams and upskilling staff.
  • Measuring the success of adoption efforts.

Scaling and Future Evolution

  • Expanding adoption across various business units.
  • Establishing governance and standardization 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 dashboard tools.
  • Familiarity with organizational change management principles.

Target Audience

  • BI managers.
  • Product managers for data platforms.
  • Solutions architects.
 14 Hours

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