What is data matching?
Data matching is the process of identifying common individuals across datasets containing customer attributes or transactional information. Since Personally Identifiable Information (PII) is not allowed on the Senate Platform, data matching is performed against tokenized datasets made available by Data Custodians (data owners) on Senate. All matching activities are subject to customer consent and Data Custodians must have the applicable privacy policies and collection statements in place.
Data matching projects can reveal valuable insights or attributes about consenting customers that organizations may not otherwise have access to. Data matching projects can help an organization to enrich their customer data, unlock behavioral patterns for targeted demographics or reveal a targeted audience.
How can I run a data match on Senate?
Data Republic participants can request data matches on Senate via a License and seek approval from Data Custodians to work with the matched datasets on Senate.
Process for performing a match on Senate:
- Anonymised data is uploaded to Senate by substituting any identifying information with the random token generated by their Contributor Node.
- The data license and match request is approved in a the project on Senate between the two organizations.
- When the match request is approved, the Matcher Node Network sends their list of matches to the Aggregator Node, which sends decrypted tokens back to Senate.
- The match is made and the token matching table is accessible by the analysts in the Discovery Workspace. Analysts see which PII fields have been matched.
- Once analysis is complete the insight can be extracted as an output. Any proposed output must be aligned with the intended use of data agreed to in the License.
Not all datasets listed on Data Republic are authorized for matching within our ecosystem. Senate users are advised to check the permitted use of each dataset and Data Listing prior to submitting a request for a license.