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 Duration 14 hours

Course Outline

Introduction to WrenAI Spreadsheets and Metrics Library

  • Overview of core capabilities and practical use cases.
  • Key distinctions between WrenAI and traditional spreadsheets.
  • Introduction to the pre-built metrics collection.

Getting Started with AI-Powered Spreadsheets

  • Creating and formatting new spreadsheets.
  • Utilizing natural language for formulas and data queries.
  • Applying AI assistance to streamline data preparation.

Leveraging the Metrics Library

  • Exploring standardized KPIs across various departments.
  • Configuring metrics specifically for RevOps, finance, and marketing.
  • Best practices for maintaining consistency and accuracy.

Data Connectivity and Live Updates

  • Connecting spreadsheets to databases and SaaS applications.
  • Automating data refresh cycles for real-time relevance.
  • Managing permissions and access control effectively.

Operational Reporting Workflows

  • Building recurring reports using standardized templates.
  • Tracking performance indicators across functions.
  • Automating alerts and notifications for proactive management.

Visualization and Sharing

  • Creating charts and dashboards directly from spreadsheets.
  • Collaborating with team members in a real-time environment.
  • Publishing polished reports for key stakeholders.

Scaling Operational Analytics

  • Implementing the metrics library across multiple business units.
  • Standardizing reporting processes at the enterprise level.
  • Integrating with existing BI platforms for seamless data flow.

Advanced Features and Future Capabilities

  • Exploring AI-driven forecasting capabilities in spreadsheets.
  • Customizing and extending the metrics library to meet specific needs.
  • Overview of upcoming features in WrenAI operational analytics.

Summary and Next Steps

Requirements

  • Foundational understanding of operational reporting concepts.
  • Practical experience with spreadsheet software.
  • Knowledge of business metrics and KPIs.

Target Audience

  • Revenue operations (RevOps) teams.
  • Finance operations teams.
  • Marketing operations and PMO teams.

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