CASE STUDY Financial Services | United States
Major Investment Bank in Japan Accelerates Mobile Data Collection and Message Conversion
Client Need
- Accelerate the collection of a large volume of mobile devices within a short time frame.
- Enable text messages and chats to load into the Bloomberg archive system.
- Support review by converting messages into Reviewable Short Message Format (RSMF).
- Address privacy concerns related to collecting employee personal mobile devices.
Client Solutions
- Rapidly deploy on-site forensic resources to collect 83 mobile devices.
- Extract text messages and chat data quickly and efficiently from collected devices.
- Convert messaging data into Electronic Mail Format (EML) format to support Bloomberg archiving requirements.
- Convert text messages and chats into Reviewable Short Message Format (RSMF) for review.
- Provide contact reports to enable filtering data to business communications only.
- Reduce privacy risk by limiting exposure of personal data from employee devices.
Why Epiq
- Apply deep forensic engineering knowledge to parse third-party chat applications.
- Deliver messaging data in review-ready formats, including RSMF.
- Execute complex mobile data collections accurately under tight time constraints.
Results and Benefits
Collection of 83 mobile devices on site.
Dual-format delivery for archiving and review.
Rapid extraction and message conversion.
Improvement of privacy protection through contact filtering.