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In the current climate of less investment in science and research researchers are able to join forces with their colleagues to conduct new research. This can also increase efficiency by allowing researchers to build upon the work of others instead having to duplicate existing studies.

Data sharing tools can be used to unify teams, improve productivity and decision making, and foster innovation across departments. This is why it is crucial to choose a data sharing tool that can meet the speed, scale and requirements for governance of your organization.

In the past, users had to manually slice and dice data sets to share with different departments within an organization and then create copies for customers. This can lead to security concerns (recreating copies of the same data in multiple regions can be risky) and could be an administrative burden from a data management perspective.

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.