Collaboration

Team Collaboration

Accelerate innovation with seamless knowledge-sharing capabilities.

Avoid Duplication of Efforts and Misalignment of Priorities

Team collaboration is essential for leveraging expertise, sharing knowledge, and maintaining organized data science workflows.

Version Control and Reproducibility

Accurately reproduce experiments and validate analyses.

Documentation and Sharing

Centralize code collaboration, explanations, and visualizations.

Environment Management

Analyze and experiment in a consistent and reproducible environment.

Data Sharing and Security

Securely leverage expertise across teams while maintaining data privacy.

Start coding immediately and share dashboards and projects with stakeholders from the browser. No installation or configuration is necessary.

Why Data Scientists Should Be Excited About Python in Excel

Python in Excel creates a common working platform for data scientists and spreadsheet users, dramatically streamlining the collaboration process

How to set up collaboration on projects

Workbench tracks all changes to a project and lets you know when files have been updated.

Learn how to leverage collaboration tools to improve efficiency, innovation, and decision-making within your organization.