Contractual agreements: Include data retention and deletion clauses in contracts with external parties to define expectations and responsibilities. Work with data consumers in defining what is desired retention in each business case, as you may integrate with different consumers in the ecosystem. In retail, for example, a business may rely on a third party for UPC data and vendor product supply, so it’s essential to agree on the data shelf life.
Data minimization: Share only the necessary data with external parties and limit access to sensitive information. Creating a secured abstraction layer on top of your baseline data is desired in such cases to spain rcs data minimize data sharing outside the network. Aspects of “data clean room” should be applied using options such as Habu or Samooha platforms. Your organization can set time limits on data access to ensure updates happen regularly or cut off access when needed.
Monitoring and auditing: Regularly monitor and audit outbound data to ensure compliance with policies and identify potential risks. Conduct security audits to ensure sensitive information is not shared through shared containers or flat files. This may pose a challenge because data is moved out of the database and encapsulated before it is sent. Defining data encryption and decryption is also a key component to consider.
Data categorization: Create data categories as the enterprise may share data in different types and forms using short messages, and messaging queues like Kafka or traditional flat file formats. Each data type and form may need a separate setup and data retention policy to support the overall function and audit requirements.