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 Duration 14 hours

Course Outline

Overview of BI Modernization via WrenAI

  • Constraints inherent in legacy BI systems
  • Core strengths of the WrenAI platform
  • Driving forces behind modernization and expected business results

Evaluating Current BI Environments

  • Cataloging existing dashboards and reporting assets
  • Pinpointing high-impact use cases
  • Conducting a gap analysis between legacy BI and WrenAI

Formulating an Adoption Strategy

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

Planning the Migration Process

  • Methods for transferring dashboards
  • Aligning and transforming data models
  • Maintaining operational continuity throughout the transition

Implementing Conversational Analytics with WrenAI

  • Generating SQL queries from natural language inputs
  • Facilitating interactive data exploration
  • Crafting user-focused analytical experiences

Leveraging Embedded GenBI

  • Integrating WrenAI dashboards directly into applications
  • Utilizing APIs to expand BI functionality
  • Applying solutions to internal tools and customer-facing interfaces

Managing Change for BI Modernization

  • Communicating the transition effectively across the organization
  • Upskilling and training team members
  • Tracking and measuring adoption metrics

Scaling and Future-Proofing

  • Broadening usage 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
  • Prior experience with established BI platforms and dashboarding tools
  • A working knowledge of organizational change management frameworks

Target Audience

  • BI Managers
  • Data Platform Product Managers
  • Solutions Architects

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