Our scientists are developing software systems that maintain privacy while making better use of the information available.
Analysing data with private and personal information
Organization and companies are increasingly collecting and using their customers’ personal data for their business purposes. However, the need to keep the customer data private and conform to privacy regulations raises a host of limitations around the use of this data.
However data privacy can be seen not as a hindrance, but as a catalyst for new business opportunities. Privacy as a business differentiator can potentially increase customer trust and their willingness to share more data and use the services provided by the business. Quantifying the risk customers may be taking when releasing some data to the businesses is of a paramount importance. Second, collected data is naturally of high value to third parties, who might be interested in specific attributes.
The challenge is to apply data privacy preservation mechanisms, which will allow businesses to share insights from the data they collected, while conforming to existing regulations and not compromising their customers’ privacy.
Maximising data analysis while maintaining privacy
Many organisations have large databases of private or confidential information. They would like to allow analysis of their data to help them make better decisions for their clients. It can also be useful to share data but this often restricted due to privacy regulations.
Our scientists are working on developing software systems that maintain privacy while making better use of the information available.
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