Operational Analytics with WrenAI Spreadsheets and Metrics Library Training Course

Introduction to WrenAI Spreadsheets and Metrics Library

• Overview of key capabilities and practical use cases
• Distinguishing features compared to traditional spreadsheets
• Introduction to the pre-built metrics catalog

Initiating AI-Powered Spreadsheet Usage

• Creating and formatting spreadsheet structures
• Employing natural language for formulas and data queries
• Applying AI assistance to streamline data preparation

Utilizing the Metrics Library

• Examining standardized KPIs across various departments
• Configuring metrics specific to RevOps, finance, and marketing
• Implementing best practices for consistency and data accuracy

Data Connectivity and Real-Time Updates

• Connecting spreadsheets to databases and SaaS applications
• Automating data refresh schedules
• Managing user permissions and access controls

Operational Reporting Workflows

• Generating recurring reports using templates
• Monitoring cross-functional performance indicators
• Automating system alerts and notifications

Visualization and Sharing

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

Scaling Operational Analytics

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

Advanced Features and Future Capabilities

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

Summary and Next Steps