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DSAR Case Studies

As leading Digital Forensic and eDiscovery experts, CYFOR has efficiently completed numerous Data Subject Access Requests.

View our DSAR case studies:

Case Study 1

CYFOR recently assisted a UK based cinema chain with its response to a Data Subject Access Request (DSAR). A former employee had requested all their data to be identified and removed from the organisation’s systems.

The total amount of data CYFOR collected amounted to approximately 650,000 documents including emails, payroll details and HR documents. By utilising our advanced search and filtering software, including email threading and redaction tools, CYFOR were able to reduce the data down and produce 17,000 relevant documents ready for review, disclosure and deletion. The DSAR was fulfilled within the standard 30-day time restraints.

  • Data Reduction: 650,000 documents > 17,000 documents
  • Reviewers: 2
  • Turnaround: 5 days

Case Study 2

CYFOR were approached by a Law firm whose client requested assistance in completing a complex DSAR. The total data size collected from the client’s servers amounted to 153GB. Email threading was applied to the data set which enabled the team reviewing the data to determine relevance as efficiently as possible.

The client provided CYFOR with key names, terms and phrases so that any irrelevant or unsuitable information within the data set could be redacted ready for disclosure. Following de-duplication, file type, keyword, date range filtering, the data uploaded for review was reduced from 153GB to 13GB.

  • Data Reduction: 153GB > 13GB
  • Reviewers: 1
  • Turnaround: 17 days

Case Study 3

CYFOR supported a telecommunications company with a last-minute DSAR and collected approximately 18,500 documents. The client had delayed reacting to the DSAR and only had 23 days remaining to complete the request, as opposed to the 30-day limit.

Advanced data analytics were applied to the data set, resulting in a significant reduction to 3,500 documents, and the DSAR was processed within its deadline.

  • Data Reduction: 15,500 documents > 3,500 documents
  • Reviewers: 4
  • Turnaround: 23 days
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