Customers' data remain confidential throughout the entire process. We have made sure that it is impossible to identify customers' data.
...
Customer data is anonymized by Pricefx via double-blinding(see below how the process works).
No one outside of Pricefx has visibility to unique customer identifiers.
Benchmarks are compiled from aggregated metrics with a number of anonymized entities to ensure that users cannot self-identify certain companies.
Benchmarks are not shown when sufficient data is unavailable, e.g., in case of more detailed KPI filtering by a user(by industry, region, etc.). This rule also protects the identity of the underlying entities in addition to improving statistical validity.
It is impossible to conduct a competitive comparison on standalone items(e.g., product price or even product lines) for users to self-identify certain companies, due to applied aggregation of data.
Data is extracted and anonymized on a monthly basis but made available with a three month delay. (fast enough to allow for relevant analysis but sufficiently disconnected from the current market status to avoid any compliance issues)
...
Plasma does data anonymization* in 4 stages to ensure that it is impossible to trace individual customer data.
*an automated process that removes customer identifiers by assigning a random key to the customer data immediately at the point of extraction to disassociate it from the customer, ensuring that it is impossible to trace individual customer data.
...
Through the double-blinding process, no-one can see unique customer identifiers, including Pricefx customers. This means, that as a user of Plasma, the client can only see their data against other players in the industry without being able to identify them.
...