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Duration 14 hours
Course Outline
Introduction to WrenAI Spreadsheets and the Metrics Library
- Overview of key features and practical applications.
- Distinct advantages over conventional spreadsheets.
- Introduction to the suite of pre-built metrics.
Initiating Workflows with AI-Powered Spreadsheets
- Creating and structuring spreadsheet layouts.
- Utilizing natural language for formulating queries and formulas.
- Leveraging AI assistance to simplify data preparation.
Utilizing the Metrics Library
- Reviewing standardized KPIs across various departments.
- Tailoring metrics for RevOps, finance, and marketing functions.
- Best practices for maintaining data consistency and accuracy.
Data Integration and Real-Time Updates
- Linking spreadsheets to databases and SaaS applications.
- Setting up automated data refresh schedules.
- Managing user permissions and access controls.
Streamlining Operational Reporting Workflows
- Developing recurring reports using templates.
- Monitoring cross-departmental performance indicators.
- Implementing automated alerts and notifications.
Visualization and Distribution
- Generating charts and dashboards directly from spreadsheets.
- Facilitating real-time collaboration among team members.
- Sharing finalized reports with key stakeholders.
Scaling Operational Analytics
- Implementing the metrics library across multiple business units.
- Standardizing reporting procedures enterprise-wide.
- Integrating with existing BI platforms.
Advanced Capabilities and Future Directions
- Investigating AI-based forecasting within spreadsheets.
- Customizing and expanding the metrics library.
- Upcoming developments in WrenAI operational analytics.
Conclusion and Recommended Next Steps
Requirements
- A solid grasp of operational reporting principles.
- Proficiency in using spreadsheets.
- Knowledge of business metrics and KPIs.
Target Audience
- Revenue Operations (RevOps) teams.
- Financial operations teams.
- Marketing operations and PMO teams.
