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 Duration 14 hours

Course Outline

Introduction to WrenAI Spreadsheets and the Metrics Library

  • Overview of key capabilities and practical use cases
  • Key distinctions from traditional spreadsheet tools
  • Introduction to pre-configured metrics

Getting Started with AI-Powered Spreadsheets

  • Creating and formatting spreadsheet layouts
  • Utilizing natural language for formulas and data queries
  • Leveraging AI assistance for data preparation tasks

Working with the Metrics Library

  • Exploring standardized KPIs across various departments
  • Configuring metrics for RevOps, finance, and marketing teams
  • Best practices for ensuring consistency and accuracy

Data Connectivity and Live Updates

  • Connecting spreadsheets to databases and SaaS applications
  • Automating data refresh cycles
  • Managing permissions and access controls

Operational Reporting Workflows

  • Developing recurring reports using templates
  • Monitoring cross-functional performance indicators
  • Automating alerts and notification systems

Visualization and Sharing

  • Generating charts and dashboards from spreadsheet data
  • Collaborating with team members in real time
  • Publishing reports for stakeholder review

Scaling Operational Analytics

  • Implementing the metrics library across multiple business units
  • Standardizing reporting processes at the enterprise level
  • Integrating with existing BI platforms

Advanced Features and Future Capabilities

  • Exploring AI-driven forecasting within spreadsheets
  • Customizing and expanding the metrics library
  • Preview of upcoming features in WrenAI operational analytics

Summary and Next Steps

Requirements

  • A foundational understanding of operational reporting concepts
  • Prior experience working with spreadsheets
  • Basic familiarity with business metrics and KPIs

Target Audience

  • Revenue operations (RevOps) teams
  • Finance operations teams
  • Marketing operations and PMO teams

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