Data Standardisation
Turn fragmented multi-bank data into a single source of truth. Compare, analyse, and optimise across all partners without manual reconciliation.
Every bank reports data differently—making aggregation impossible
Different field names, inconsistent taxonomies, varying time zones, and incompatible formats. Finance teams spend days reconciling reports manually—and still can't compare channels accurately.
Furthr transforms all data into one unified schema—automatically
Every transaction from every bank flows through a standardisation layer. Field names, formats, and taxonomies are normalized in real-time—so you see one consistent view.
Standardisation is what makes multi-bank measurement possible
Unified Schema
Transform fragmented bank data into one consistent format.
Real-Time Normalisation
Automatic standardisation as data flows in.
Multi-Source Aggregation
Combine data from banks, processors, and card networks.
Apples-to-Apples Comparison
Compare performance without manual reconciliation.
Click any capability to see details in the side panel →
One view across all channels—no reconciliation, no delays
Finance teams export clean, standardised reports. Merchants compare bank performance instantly. And both sides make decisions based on complete, consistent data—not fragmented spreadsheets.
See standardisation in action
Book a demo to see how Furthr transforms multi-bank data into unified insights.