In an era of reduced investments in science and research, researchers can connect and collaborate with their colleagues to conduct new studies. This can also increase efficiency by allowing researchers to build on the work of others instead of having them duplicate existing research.

Data sharing tools can bring teams together around a common vision, improve efficiency and decision-making capabilities, and foster innovation and improvements in data quality across departments. This is why it’s so important to select a data sharing tool that read this post here supports the speed, scale and the governance needs of your company.

To share data among different parts of an organization, users have had to manually slice and dice datasets they wish to share and then create customer-facing copies on their end. This could lead to security issues (recreating copies of the same data across multiple locations can be risky) and could be an administrative burden from a 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.

How to Select a Data Sharing Tool