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 Duration 14 hours

Course Outline

Introduction to BI Modernization with WrenAI

  • Understanding the constraints of legacy BI systems
  • Exploring the core capabilities of WrenAI
  • Drivers for modernization and expected business results

Evaluating Legacy BI Environments

  • Cataloging current dashboards and reports
  • Recognizing high-value use cases
  • Conducting a gap analysis between legacy BI and WrenAI

Defining an Adoption Strategy

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

Planning the Migration

  • 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
  • Exploring data interactively
  • Creating user-centric analytics experiences

Implementing Embedded GenBI

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

Change Management for BI Modernization

  • Communicating change initiatives across the organization
  • Upskilling and training teams
  • Tracking and measuring adoption success

Scaling and Future Evolution

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

Conclusion and Recommended Next Steps

Requirements

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

Intended Audience

  • BI managers
  • Data platform program managers
  • Solutions architects

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