In a time of decreased investments in science and research researchers can collaborate and connect with colleagues to carry out new research. It can also improve efficiency by allowing researchers to build upon the work of others rather than having them replicate existing studies.

Data sharing tools can help to bring teams together around a common vision, boost productivity and decision-making, and help to encourage improvement and innovation in the quality of data across departments. This is why it is essential to select the right tool for data sharing that is compatible with the speed, scale, and management requirements of your business.

In the past users had manually slice and dice datasets to share with different parts of an organisation, and then functions of password managers create copies for customers. This can lead to security concerns (recreating an identical copy of the same data across multiple locations can be risky) and could be an administrative burden from a management standpoint.

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.