Qualified Targeting Through Data Aggregators in Permissioned Blockchain Settings: A Model for Auditable Transactions

Data aggregators can leverage personal data for the benefit of their users in their role of mediators with enterprises that are willing to target qualified user segments with customized offerings. However, such type of transaction must comply with personal data protection regulation and provide a fair and auditable context for business partners. In this paper, the components of a solution for that problem in the context of a permissioned, private business network are described, along with an implementation using the Quorum enterprise derivative of Ethereum. The results of that design are expressed as a combination of schemas, protocols and smart contracts. The resulting model may serve as a blueprint for experimenting data market mechanisms that exploit the unique value of aggregators in a secure, transparent and auditable framework.