Operational Analytics with WrenAI Spreadsheets and Metrics Library Training Course

Introduction to WrenAI Spreadsheets and the Metrics Library

• Review of core capabilities and practical use cases
• Highlighting distinctions from traditional spreadsheets
• Overview of the pre-built metrics collection

Getting Started with AI-Powered Spreadsheets

• Creating and formatting spreadsheet layouts
• Using natural language for formulas and queries
• Leveraging AI assistance for data preparation

Utilizing the Metrics Library

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

Data Connectivity and Real-Time Updates

• Connecting spreadsheets to databases and SaaS tools
• Automating data refresh cycles
• Managing user permissions and access controls

Operational Reporting Workflows

• Creating recurring reports using templates
• Monitoring cross-functional performance indicators
• Setting up automated alerts and notifications

Visualization and Sharing

• Generating charts and dashboards from spreadsheet data
• Enabling real-time collaboration with team members
• Distributing reports to key stakeholders

Scaling Operational Analytics

• Rolling out the metrics library across multiple business units
• Standardizing reporting processes on an enterprise scale
• Integrating with existing BI platforms

Advanced Features and Future Capabilities

• Discovering AI-driven forecasting within spreadsheets
• Customizing and extending the metrics library
• Previewing upcoming features in WrenAI operational analytics

Summary and Next Steps