TrACE - Transaction Categorisation & Enrichment Engine
Unscramble transactions. Understand people.
Turn messy financial feeds into rich, actionable data for your product. Categorised and enriched financial data for a wide range of use cases.
Merchants Categorised
Categories
Sub-categories
Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly along with merchants, methods and modes, to provide our clients with the right building blocks that can power the next generation of personalised financial services at scale.
Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly.
Bank narration strings are notoriously hard to understand strewn with various alphanumeric characters, truncated names of merchants and various delimiters. To add to it every financial institution has its own syntax making it even messier. But hidden in these strings, are secrets to people's financial behaviour, akin to DNA containing all affirmative financial acts that define a person.
Transaction data is deeply entrenched in multiple processes as it helps Financial Institutions understand and define the users they are working with. Crucially, Banks sit on rich personal and financial data that captures all major milestones in users' lives. Understanding their past and current behaviour empowers businesses to recommend exciting opportunities and be a part of their users' daily lives.
Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly along with merchants, methods and modes, to provide our clients with the right building blocks that can power the next generation of personalised financial services at scale.
Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly along with merchants, methods and modes, to provide our clients with the right building blocks that can power the next generation of personalised financial services at scale.
Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly.
Innovate faster, deliver personalised financial experiences & deepen user-engagements using enriched financial data
Widen offerings and go-to-market faster with nimble products and seamless financial insights
Be at the cutting edge of finnovation and introduce your users to finance by building on top of Fego