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 Duration 14 hours

Course Outline

Introduction to WrenAI Spreadsheets and the Metrics Library

  • Overview of key capabilities and applicable use cases
  • Highlighting key distinctions from conventional spreadsheets
  • Introduction to the pre-built metrics catalog

Getting Started with AI-Powered Spreadsheets

  • Creating and formatting spreadsheets
  • Utilizing natural language for formulas and queries
  • Leveraging AI assistance for data preparation

Working with the Metrics Library

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

Data Connectivity and Live Updates

  • Linking spreadsheets to databases and SaaS tools
  • Automating data refresh cycles
  • Managing permissions and access controls

Operational Reporting Workflows

  • Creating recurring reports using templates
  • Monitoring cross-functional performance indicators
  • Automating alerts and notifications

Visualization and Sharing

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

Scaling Operational Analytics

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

Advanced Features and Future Capabilities

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

Summary and Next Steps

Requirements

  • A solid grasp of operational reporting concepts
  • Practical experience using spreadsheets
  • Knowledge of business metrics and KPIs

Target Audience

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

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