Today, individuals generate rich, detailed health data across NHS records, wearables, and private providers—yet it remains fragmented and underutilised. At the same time, financial decisions—especially around later-life care—are made using incomplete or generic assumptions.

DataPal Transaction Intelligence transforms raw, incomplete bank transaction data into rich, structured, and user-controlled financial insights. By enabling individuals to ingest, clean, and augment their own transaction records — while maintaining full control over who can access them and for what purpose — this Use Case demonstrates how personal data can be made truly portable, usable, and privacy-preserving.