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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