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 Duration 14 hours

Course Outline

Introduction to WrenAI Spreadsheets and the Metrics Library

  • Overview of features and practical applications
  • Distinguishing these tools from conventional spreadsheets
  • Exploring the integration of pre-built metrics

Getting Started with AI-Driven Spreadsheets

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

Navigating the Metrics Library

  • Reviewing standardized KPIs across various departments
  • Tailoring metrics for RevOps, finance, and marketing teams
  • Ensuring consistency and precision through best practices

Data Integration and Real-Time Updates

  • Connecting spreadsheets to databases and SaaS platforms
  • Automating data refresh schedules
  • Overseeing permissions and access controls

Designing Operational Reporting Workflows

  • Generating recurring reports using templates
  • Monitoring cross-functional performance metrics
  • Setting up automated alerts and notifications

Visualization and Distribution

  • Developing charts and dashboards from spreadsheet data
  • Collaborating with colleagues in a real-time environment
  • Sharing reports with key stakeholders

Expanding Operational Analytics

  • Implementing the metrics library across multiple business units
  • Standardizing reporting procedures on an enterprise scale
  • Integrating with current BI platforms

Advanced Capabilities and Future Developments

  • Investigating AI-based forecasting within spreadsheets
  • Adapting and expanding the metrics library
  • Previewing upcoming features in WrenAI operational analytics

Wrap-up and Recommendations for Next Steps

Requirements

  • A foundational grasp of operational reporting principles
  • Proficiency in using spreadsheets
  • Awareness of business metrics and KPIs

Target Audience

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

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