Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to WrenAI Spreadsheets and Metrics Library
- Overview of capabilities and practical applications
- Key distinctions from traditional spreadsheets
- Familiarisation with pre-built metrics
Getting Started with AI-Powered Spreadsheets
- Creating and formatting spreadsheets
- Employing natural language for formulas and queries
- Applying AI support to streamline data preparation
Working with the Metrics Library
- Examining standardised KPIs across various departments
- Setting up metrics for RevOps, finance, and marketing
- Best practices for maintaining 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
- Generating recurring reports using templates
- Monitoring cross-functional performance indicators
- Automating alerts and notifications
Visualization and Sharing
- Developing charts and dashboards from spreadsheet data
- Collaborating with team members in real time
- Publishing reports for stakeholders
Scaling Operational Analytics
- Applying the metrics library across multiple business units
- Standardising reporting processes on an enterprise scale
- Integrating with existing BI platforms
Advanced Features and Future Capabilities
- Exploring AI-driven forecasting within spreadsheets
- Customising and extending the metrics library
- Preview of upcoming features in WrenAI operational analytics
Summary and Next Steps
Requirements
- A foundational understanding of operational reporting principles
- Working experience with spreadsheet software
- Basic familiarity with business metrics and KPIs
Target Audience
- Revenue operations (RevOps) teams
- Finance operations teams
- Marketing operations and PMO teams