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 Duration 14 hours

Course Outline

Introduction to BI Modernization with WrenAI

  • Constraints inherent in legacy BI systems
  • Core capabilities of WrenAI
  • Key drivers for modernization and expected business outcomes

Evaluating Legacy BI Environments

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

Formulating an Adoption Strategy

  • Engaging and aligning key stakeholders
  • Executing pilot projects to demonstrate value
  • Developing a strategic roadmap for adoption

Planning the Migration Process

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

Leveraging Conversational Analytics with WrenAI

  • Generating SQL queries from natural language inputs
  • Interactive data exploration techniques
  • Crafting user-centric analytics experiences

Implementing Embedded GenBI

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

Managing Change in BI Modernization

  • Effective communication of changes across the organization
  • Training and upskilling team members
  • Tracking and measuring the success of adoption efforts

Scaling Solutions and Future Evolution

  • Broadening adoption across various business units
  • Establishing governance and standardization in modern BI
  • 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 dashboarding tools
  • Knowledge of organizational change management principles

Target Audience

  • BI Managers
  • Data Platform Product Managers
  • Solutions Architects

Testimonials (3)

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