Only with effective pseudonymisation so find out how to separate the information value of data from the means to link to individual identities. Follow the link to Trust Arc at bottom of this blog.
Can your enterprise analytics deal with subject access requests (SARs) from individuals?
- Access, search all unstructured data in your organisation AND across the supply chain?
- Meet GDPR requirements for encryption of documents, data at rest and in transit?
- Identify all documents where there is reference to the individual making the SAR?
- Supporting document retention policies, manual or time based deletions
- As well as redacting information from within documents?
Seek powerful search retrieval software to not only meet GDPR compliance and protect your reputation but also add a key competitive advantage-
Add analytics accessing and joining unstructured with structured data for a complete, rather than just big, insight of the business, its supply chain, its customers and the wider world.
Treat GDPR not as a threat or risk- rather as an opportunity to gain better insights and increase trust in your organisation and raise net promoter score- NPS.
Higher the NPS, higher the customer retention and long term growth.
The GDPR recognizes that static (persistent) purportedly “anonymous” identifiers used to “tokenize” or replace identifiers are ineffective in protecting privacy. Due to increases in volume, variety and velocity of data combined with advances in technology, static identifiers can be linked or readily linkable due to the Mosaic Effect leading to unauthorized re-identification of data subjects. Continued use of static identifiers by data controllers and processors inappropriately places the risk of unauthorized re-identification on data subjects. However, the GDPR encourages data controllers and processors to continue using personal data by implementing new technical measures to “Pseudonymise”  data to reduce the risk of unauthorized re-identification.