In the age of information, organizations have increased the amount of consumer data housed in structured and unstructured environments. As consumers become increasingly aware of this and what their rights are under current and future legislation, the number of data subject access requests is increasing. According to Automated Intellegence, “A body which represents UK data protection officers has reported that there’s been a 66% increase in the average number of DSARs received” (Automated Intelligence, 2021)”
We're now more than a year into the official implementation of the General Data Protection Regulation (GDPR), set into motion on May 25, 2018.
The General Data Protection Regulation (GDPR for short) is made up of eight different principles that outline the guidelines relating to how personal data and information is collected and processed.
Automated compliance software supports the compliance strategy within your organization and helps automate the process of adhering to the policies and controls within different industries.
Original broadcast date: March 21, 2019 via IAPP Webconference
More and more companies today are relying on customer data to help them outperform competitors and improve their services. According to a report from the Business Application Research Center (BARC) companies that used consumer data to drive decisions saw their profits increase by eight percent.
Take a walk along the path of a subject access request (SAR), from the point of collection to privacy rights management as a competitive advantage.
Walk through this decision tree to uncover how many SARs you might expect to get, how complex your data environment is, and – ultimately – whether it likely is more cost-effective to automate SAR management.
It’s one thing to plan for the GDPR or CCPA and other privacy regulations. It’s another thing to actually live it.
In the face of continued consumer distrust over data privacy and a regulatory environment that remains uncertain, forward-thinking companies are building best practices for data stewardship – and creating a competitive advantage in the process.
