Process SARs in minutes, not days
The Exonar platform provides automated, intuitive and rapid processing of subject access requests (SARs), substantially reducing costs and decreasing disruption to your organisation.
After 25th May 2018, when the EU’s General Data Protection Regulation (GDPR) came into force, organisations can no longer charge for producing SARs. This means you should prepare for a significant increase in the number of requests your organisation handles. In our recent survey 57% of individuals said they would want to request their data as there is now no cost.
SARs can be over 800 Pages Long. Where do we start?
Subject access requests can cross many business units, departments, systems, processes and people. Often the only way to deal with them has been to email line management and request printed copies of the information requested, coralling that information then sending it to the customer via courier.
There’s an easier way. Use Technology
Connect to all of the sources of your customer data; emails, databases, word documents and spreadsheets, in your fileshares or in the cloud. Build an index of all of that information so that you can search it, instantly. Use machine learning to help guide you to all of the right and less of the wrong information. Manage your SARs online and track them as they progress.
Doctor! Doctor! I have a SAR – How Long is the Waiting List?
A First-Hand Account of the Problematic Role of SARs Processing
It’s widely known that resources within the NHS are stretched. So what happens when an institution that is already buckling under the pressure receives a consistently large volume of SARs with tight delivery deadlines?
The Exonar platform continuously indexes all of your organisation’s data, meaning producing a subject access request is simple, quick and efficient:
Process, redact and produce SARs directly from the Exonar platform, without needing to scan or photocopy information
SAR dashboard shows you where you are with cases, and who you’re waiting on
Create simple templates to enable untrained users to find information relating to an individual
Review documents without needing to access the originals
Use machine learning to identify and redact personal and commercial information