DPM module

Data Removal

Data Privacy Manager - App dashboard

Introducing the only GDPR compliant Data Removal solution

Challenge

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 principlestorage 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.

Solution

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:

  1. WHICH data subject’s data needs to be removed?” and
  2. WHEN this data needs be removed”?

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.

Included functionalities:

  • Automated data removal schedule, 1
  • Central orchestration of data removal, 2
  • Detailed data removal log, 3
Benefits

Automation

Privacy professionals do not have to spend their time giving instructions to the IT team on which data should be removed and when.

Data retention schedule

Precise real-time service keeping records and counting data retention period for personal data down to a single data subject level.

Data destruction schedule

Automatically give instructions to different systems on which data should be removed and when.

Data Privacy Manager is available in flexible pricing options for your growing business needs

Personal data lifecycle

Collection

Interaction with data subjects

  • Contract
  • Consent

Lawfull Processing

Everyday business

  • Data monetization
  • Services delivery
  • Marketing

Archiving

Lawful basis expiration

  • Contract Expiration
  • RTBF
  • Opt-out

Destruction

Data destruction

  • Anonymization
  • Deletion

Business Process
(Original Purposes)

Data Retention
(Purpose change)

No Purpose

Personal data lifecycle

Business Process
(Original Purposes)

Interaction with data subjects

  • Contract
  • Consent

Everyday business

  • Data monetization
  • Services delivery
  • Marketing

Data Retention
(Purpose change)

Lawful basis expiration

  • Contract Expiration
  • RTBF
  • Opt-out

No Purpose

Data destruction

  • Anonymization
  • Deletion

Learn how this solution helps your industry

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…

Download the papers

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