In a period of decreased funding for research and science data sharing can provide researchers with the ability to collaborate and connect with other researchers to carry out important new studies. It can also improve efficiency by allowing researchers to build upon the work of others instead of having to replicate already existing studies.

Data sharing tools can be used to bring together teams, boost efficiency and decision making, and encourage innovation across departments. It is important to choose a data-sharing tool that meets the speed, scale, and management requirements of your business.

In the past, to share data across various parts of an organization, users have had to manually slice and dice the data they wish to share, and then create copies that are visible to customers on their own. This can here cause security concerns (recreating the same data across multiple locations can be risky) and is an issue in terms of managing data.

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.