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 Duration 14 hours

Course Outline

Getting Started with BI Modernization via WrenAI

  • The constraints of traditional BI systems
  • Core features and benefits of WrenAI
  • Business drivers and expected outcomes of modernization

Evaluating Existing BI Infrastructures

  • Conducting an inventory of current dashboards and reports
  • Highlighting high-impact use cases
  • Analyzing gaps between legacy systems and WrenAI capabilities

Crafting an Adoption Strategy

  • Engaging and aligning key stakeholders
  • Launching pilot projects to demonstrate value
  • Developing a comprehensive adoption roadmap

Planning the Migration Process

  • Strategies for transitioning dashboards
  • Aligning and transforming data models
  • Maintaining operational continuity during the switch

Implementing Conversational Analytics with WrenAI

  • Generating SQL queries from natural language inputs
  • Facilitating interactive data exploration
  • Creating user-focused analytics interfaces

Leveraging Embedded GenBI

  • Integrating WrenAI dashboards into existing applications
  • Utilizing APIs to enhance BI functionality
  • Applying GenBI to internal tools and customer-facing platforms

Managing Change for BI Transformation

  • Communicating the vision and changes organization-wide
  • Upgrading team skills through targeted training
  • Tracking and measuring adoption metrics

Scaling Up and Future-Proofing

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

Wrap-up and Action Plan

Requirements

  • Foundational knowledge of business intelligence workflows
  • Hands-on experience with legacy BI platforms and dashboard creation
  • Understanding of organizational change management fundamentals

Target Audience

  • BI Managers
  • Data Platform Product Managers
  • Solutions Architects

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