Data is often called the “new oil”. And indeed, the variety of new business models’ potentials is only by the limitation that data privacy laws and regulation pose on that. Classical anonymisation techniques do not always fit for purpose: a lot of valuable information get lost, often this data can be de-anonymised and these techniques are prone to human error due to the manual nature of the approaches. There is as an array of new technologies on the block which may help to address the issues.
- Limitations of use of private and sensitive data
- Overview of state of the data privacy engineering technologies
- Applicability and use cases in the financial industry