Get in Touch
 Duration 14 hours

Course Outline

Introduction to WrenAI Spreadsheets and the Metrics Library

  • Review of core capabilities and key use cases
  • Key distinctions from conventional spreadsheets
  • Familiarization with pre-built metrics

Getting Started with AI-Powered Spreadsheets

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

Utilizing the Metrics Library

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

Data Connectivity and Real-Time Updates

  • Linking spreadsheets to databases and SaaS tools
  • 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 notifications

Visualization and Collaboration

  • Generating charts and dashboards from spreadsheet data
  • Real-time collaboration with team members
  • Sharing reports with stakeholders

Scaling Operational Analytics

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

Advanced Features and Future Directions

  • Discovering AI-driven forecasting within spreadsheets
  • Customizing and expanding the metrics library
  • Upcoming developments in WrenAI operational analytics

Summary and Next Steps

Requirements

  • A solid grasp of operational reporting principles
  • Practical experience 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