“ Data created and used in our company contains highly sensible information and should therefore never be exchanged with researchers. By contributing with my data
to their research the privacy of my data can be compromised. Especially when the outcome of the
research is used to track down individual entities"

“ In order to have a bigger impact, our research
needs data form multiple resources.
Unfortunately there’s no wat that the data owners want to share their data with us since we cannot guarantee that the outcome of our research is not misused by others
to track down individual entities." 

Companies A & B transfer their data containing sensitive information to iDTS

Data from companies A & B is made anonymous using a technique called  
Primary Key Transformation  

iDTS transfers the Secured Anonymous Data from companies A & B
to the Data Analysis Company for statistical research

For each Data Analysis project a different project-key is used for the Primary Key Transformation. This ensures that data from different projects cannot be linked to each other.

In this process, the identifier (or primary key) is transformed to a new unique identifier using a linear transformation method. After the identifier is transformed the data from this data source cannot identify the individual company, person or other identity in the data source.

When transforming data from different sources using the same transformation, the data from these sources still can be joined for statistical research. Since the statistical research is based on the transformed identifier, the results of the research never can compromise the privacy of individual companies, people or other entities.