Get in Touch
 Duration 14 hours

Course Outline

Introduction to WrenAI Spreadsheets and the Metrics Library

  • Overview of features and practical applications
  • Key distinctions from conventional spreadsheets
  • Introduction to pre-configured metrics

Getting Started with AI-Powered Spreadsheets

  • Creating and formatting spreadsheets
  • Using natural language for formulas and queries
  • Leveraging AI support for data preparation

Utilizing the Metrics Library

  • Reviewing standardized KPIs across various departments
  • Setting up metrics for RevOps, finance, and marketing
  • Best practices for maintaining consistency and accuracy

Data Connectivity and Real-Time Updates

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

Operational Reporting Workflows

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

Visualization and Sharing

  • Generating charts and dashboards from spreadsheets
  • Collaborating with team members in real-time
  • Distributing reports to stakeholders

Scaling Operational Analytics

  • Implementing 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-based forecasting in spreadsheets
  • Customizing and expanding the metrics library
  • Upcoming enhancements in WrenAI operational analytics

Summary and Next Steps

Requirements

  • A solid grasp of operational reporting principles
  • Proficiency with spreadsheet applications
  • Knowledge of business metrics and KPIs

Target Audience

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

Number of participants


Price per participant

Upcoming Courses

Related Categories