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Course Outline

Introduction to BI Modernization with WrenAI

  • Limitations inherent in legacy BI systems
  • Core capabilities of WrenAI
  • Drivers for modernization and associated business outcomes

Assessing Legacy BI Environments

  • Inventorying existing dashboards and reports
  • Identifying high-value use cases
  • Conducting gap analyses between legacy BI and WrenAI

Adoption Strategy

  • Stakeholder engagement and alignment
  • Executing pilot projects and demonstrating proof of value
  • Developing a roadmap for adoption

Migration Planning

  • Strategies for dashboard migration
  • Aligning and transforming data models
  • Ensuring business continuity during the migration process

Conversational Analytics with WrenAI

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

Embedded GenBI

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

Change Management for BI Modernization

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

Scaling and Future Evolution

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

Summary and Next Steps

Requirements

  • A foundational understanding of business intelligence workflows
  • Experience working with legacy BI platforms and dashboards
  • Familiarity with the principles of organizational change management

Audience

  • BI managers
  • Data platform product managers
  • Solutions architects
 14 Hours

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