Partners
FinGoal + Quiltt: A Strong Transaction Data Foundation
At Quiltt, we pride ourselves on innovative access to Open Banking. In our quest to provide customers with the best transaction solutions, we partnered with FinGoal, a leading expert in transaction data enrichment.
Making Sense of Transaction Data
FinGoal’s Insights API enriches and normalizes transaction data, providing:
✔ Legible transaction descriptions
✔ Merchant names & logos
✔ Accurate merchant categories
Additionally, FinGoal appends metadata to transactions in the form of a transaction data tag that can be used to infer what the transaction means for the end user.
For anyone who’s worked with transaction data, it can be messy and unpredictable, and different data sources output different data schemas.
That’s where FinGoal comes in, ensuring all transaction data on the Quiltt platform is normalized to one schema with high fidelity so Quiltt customers have a strong data foundation to build from.
The Cost of Messy Data
For fintechs, bad data is expensive.
Incomplete transactions, cryptic descriptions, and inconsistent formats don’t just slow you down—they lead to bad decisions, lost revenue, and frustrated customers.
Imagine trying to personalize financial insights when your transaction data is a mess. Or worse—declining a great customer because your data can’t see the full picture.
That’s the reality for companies that don’t fix this problem.
The Quiltt + FinGoal Solution
That’s why Quiltt works with FinGoal—so you don’t have to spend countless hours cleaning data that should already be working for you.
With clean, enriched, and structured transaction data, you can focus on building, innovating, and delivering better financial products.
The Bottom Line
Transaction data is only as valuable as the insights you can extract from it.
With FinGoal powering Quiltt’s data enrichment, our customers get clean, structured, and actionable transaction data—without the headache.
🚀 If you’re ready to turn messy transaction data into real intelligence, let’s talk. You’ve got big things to build—let’s make sure your data isn’t slowing you down.
Frequently Asked Questions
What are common use cases for aggregation in FinTech products?
Aggregation powers features like personal finance dashboards, income verification, credit modeling, cash flow analysis, and lending decisions. It also enables smoother onboarding and faster user activation by reducing manual data entry.
What advantages does Quiltt offer over direct provider integration?
Quiltt significantly reduces the complexity and resource investment required to leverage open banking data:
- Single Integration: Instead of building and maintaining multiple provider integrations, you integrate once with Quiltt.
- Unified API: Access data from any provider through one consistent API, eliminating the need to handle provider-specific data formats.
- Provider Optimization: We automatically route users to the best provider for their specific bank, improving connection success rates.
- Cost Efficiency: Benefit from our aggregated buying power and avoid minimum monthly commitments with individual providers.
- Faster Time to Market: Launch in weeks instead of months with our pre-built components and comprehensive SDKs.
- Simplified Operations: One contract, one integration, one support team, and one bill - dramatically reducing the overhead of managing multiple vendor relationships.
What aggregators and enrichment providers does Quiltt support?
Quiltt partners with leading data aggregators and enrichment providers, including MX, Finicity, Akoya and more. You can choose one or multiple providers to optimize coverage and capabilities based on your specific needs.
