In a period of decreased monetary investment for research and science data sharing provides researchers with the opportunity to connect and collaborate with peers to perform important new research. This can also boost efficiency by allowing researchers to build upon the work of others, instead of having them duplicate existing research.

Data sharing tools can unite teams around a shared vision, increase efficiency and decision-making, and encourage innovation and improvements in data quality across departments. It is crucial to choose a data-sharing tool that meets the speed and scale as well as the governance needs of your organization.

In the past the users had to manually slice and dice datasets to share with various parts of the organization and then create copies for customers. This can result in security issues (recreating duplicates of the same data in multiple regions is risky) and also create an administrative burden from a management view.

The Databricks Delta Sharing platform enables users to create a single, dynamic view of their most critical, real-time data. The shared data can be instantly consumed by multiple business stakeholders across a wide variety of applications, including Databricks and non-Databricks platforms. This allows analytics teams to spend more of their time on analysis and less on manual work such as creating reports for internal business stakeholders or answering tickets from IT. This results in better decision-making, faster projects and higher productivity.