Data collaboration refers to the practice of multiple parties sharing their data resources and insights with each other for mutual benefit. Data collaboration allows organizations to access a wider range of data sources than they would have access to individually. This diversity in data sources enriches analysis and insights.

Collaborating on data allows organizations to validate their findings against multiple sources, leading to increased accuracy and reliability of insights.

This is a dedicated space for Program Managers and Researchers to collaborate both internally and externally. Collaboration can happen at various stages – tool development, data collection, and data quality management. This is a key feature for end-to-end project management whereby multiple users can work in a collaborative mode.

As the prime user, one can select one’s collaborators by giving them access, to achieve a common task. This enables multiple users to work on the selected purpose. This fosters team activity, enhances engagement and ownership of the task. It also accelerates productivity and improved decision making by optimizing workflows, reducing redundancies and streamlining processes.

Data collaboration fosters innovation by providing access to a broader pool of data for research and development purposes. This can lead to the discovery of new insights, products, and services.

Collaborating on data can foster partnerships and alliances between organizations, leading to mutually beneficial outcomes. By sharing data and insights, organizations can identify areas of common interest and explore opportunities for collaboration and joint ventures.