Recently I completed a deep digital forensics and data-correlation investigation involving a large dataset of emails, file metadata, CRM exports, and PST archives. Due to confidentiality and legal sensitivity, I cannot share real names, companies, or actual data — but I want to share the technical approach, methodology, and lessons learned from this project. This case required combining multiple forensic sources into one consolidated analysis to identify inconsistencies, automation patterns, and timeline anomalies. 🧩 Scope of the Investigation The project involved forensic analysis of: Email PST archives (thousands of messages) Autopsy extraction reports File metadata & EXIF data CRM exports (leads, deals, payouts, assignments) Document attachments (PDF, images, spreadsheets) Timestamp correlation across systems User activity logs & call logs The goal was to determine: Whether records were created in real time Whether documents were reused or backfilled Whether multi...
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