Each personal data collected by the company goes through a personal data lifecycle. Data is collected through different channels, processed for everyday business operation. After the lawful basis for processing expires, personal data has to be archived for legal and documentation purposes and eventually removed.
The data removal process imposed a new set of challenges, amplified with the lack of understanding about where the data is stored, and no real insight into the technical and business implication of data removal.
At the same time, companies are expected to demonstrate compliance with fair information practice principle, storage limitation principle and the right to be forgotten and the laws that regulate documentation retention periods, like archiving law.
It gets more complicated when the data subject uses more than one active service of the company for which, very often, the same data sets are required on the same systems. For this reason, data removal system needs to be intelligent enough not to erase the personal data that are still in use.
Last challenge refers to the technical orchestration of data removal. Since it is almost impossible to delete data in big enterprise systems, the GDPR recommends data anonymization and pseudonymization as opposed to deleting data. In the event of data deletion by mistake there is a technical possibility of recovering data.
When a company is processing a large amount of data across multiple systems, automation is the only way to avoid the possibility of human error and reduce the risk of non-compliance. Automation minimizes the amount of manual work needed for data deletion or recording every action taken over data.
Data Privacy Manager automatically gives instructions to a different system when data deletion needs to be executed and enables you to define data retention and data removal operationalization on different data categories.
Data Privacy Manager’s automated services answer two key questions:
Data retention schedule and Data destruction schedule are 2 real-time services available for end-to-end automation of personal data removal.
This represents a GDPR compliant personal data removal engine.
While Organizations have been busy collecting consents and putting together compliant Records of processing activities, the data removal remained overlooked, or maybe postponed? Most of the Organizations have by now documented data retention policies and have a good idea about how long they can keep the data. Data retention starts when one of the following scenarios happen: The initial purpose for data collection and processing has expired. Usually, a product or services contract with an individual has expired, an insurance policy has expired or individual stopped using a product or a service…