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 Duration 14 hours

Course Outline

Introduction to WrenAI Spreadsheets and the Metrics Library

  • Overview of core capabilities and practical use cases
  • Distinct advantages compared to traditional spreadsheets
  • Introduction to the pre-built metrics catalog

Getting Started with AI-Powered Spreadsheets

  • Creating and formatting spreadsheet structures
  • Utilizing natural language for generating formulas and queries
  • Applying AI assistance to simplify data preparation tasks

Utilizing the Metrics Library

  • Exploring standardized KPIs applicable across various departments
  • Configuring specific metrics for RevOps, finance, and marketing teams
  • Implementing best practices for data consistency and accuracy

Data Connectivity and Real-Time Updates

  • Connecting spreadsheets to databases and SaaS platforms
  • Automating data refresh cycles for efficiency
  • Managing user permissions and access controls

Operational Reporting Workflows

  • Developing recurring reports using predefined templates
  • Monitoring cross-functional performance indicators
  • Automating system alerts and notifications

Visualization and Sharing

  • Generating charts and dashboards directly from spreadsheets
  • Facilitating real-time collaboration with team members
  • Publishing final reports for stakeholder review

Scaling Operational Analytics

  • Extending the metrics library across multiple business units
  • Standardizing reporting procedures at the enterprise level
  • Integrating solutions with existing BI platforms

Advanced Features and Future Developments

  • Exploring AI-driven forecasting capabilities within spreadsheets
  • Customizing and expanding the existing metrics library
  • Overview of upcoming enhancements in WrenAI operational analytics

Summary and Next Steps

Requirements

  • Knowledge of operational reporting concepts
  • Experience working with spreadsheets
  • Familiarity with business metrics and Key Performance Indicators (KPIs)

Target Audience

  • Revenue operations (RevOps) teams
  • Finance operations teams
  • Marketing operations and Project Management Office (PMO) teams

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