Making compliant data sharing the norm

The value of data is time-sensitive. That is, the longer data-driven business insight takes to reach someone who can use it, the less valuable it is. Trusted data sharing can be severely hampered by issues that “slow down” data, such as lack of interoperability, incompatible data collection and querying protocols, and low-speed ETL processes.

The solution to all of these issues, and many others, is the use of virtualized data platforms to handle data sharing. Data virtualization creates an interoperable data layer that draws together only the data needed for specific queries wherever it is located. It simultaneously improves data security by performing data operations inside secure containers, giving data administrators the ability to deploy fine-grained access controls over all data sharing.

This is achieved through the uniform anonymization of personal identifying information (PII) and the creation of secure execution environments for the querying of shared data. In doing so, no PII is ever passed from one entity to another or at risk of being lost.