Data Engineering
Trusted by banks modernizing with clarity and confidence
Data as a Service.
Our number one goal is to save your organization TIME. Too many employees spend countless hours entering and reviewing data in spreadsheets. It is time to modernize and automate all your data so that you can spend time out of the trenches.
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Without iDENTIFY
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With iDENTIFY
Data engineering is the purification system for your bank’s data
If infrastructure builds the pipes, data engineering is the water treatment plant.
Every processor, fintech partner, KYC provider, and legacy system sends data in different shapes and quality. Engineering removes impurities and standardizes everything so it can be used safely in AML tools, partner reporting, and analytics.
Compliance-focused data engineering built specifically for sponsor banks
If something breaks, regulators do not call the fintech. They call you. Clean, consistent data is how sponsor banks stay compliant- and how they scale safely.
faster fintech onboarding once engineering foundations are in place
data accuracy after validation and transformation
lineage from raw to reporting across AML, BSA, KYC, and partner oversight
Engineered for regulatory scrutiny
We build engineered data models that meet regulatory expectations:
- AML-ready schemas
- Consistent customer identity tables
- Full lineage and audit trail
- Exception handling
- High-quality inputs for risk models
- Unified program reporting
Proven transformation patterns from sponsor-bank environments
We’ve engineered data across dozens of fintech programs, giving us reusable logic for:
- Zeta
- Lithic
- Galileo
- Unit
- Synctera
- Q2
- And more
New fintech onboarding:
- Without engineering foundations: 6–8 months
- With iDENTIFY’s engineering patterns: ~2 months
A 75% faster onboarding cycle.
Clean data reduces AML risk & messy data creates it
Most AML failures come from bad inputs: inconsistent fields, missing elements, or late data.
We engineer data specifically for AML tools:
- Oscilar
- Verafin
- Abrigo BAM+
- HawkAI
- Sardine
- Datavisor
- NICE Actimize
Your AML platform only performs as well as the data feeding it- and engineered data performs better.
What clean, engineered data unlocks for your bank
Clean data is not optional. It’s the foundation of compliance for sponsor banks.
- Regulators see complete, defensible data
- AML platforms get higher-quality inputs
- Fintech oversight becomes reliable and real-time
- Reports match across systems
- Consistent definitions across partners
- Faster partner onboarding
- Executives trust the numbers
- Reduced risk of regulatory findings
- Less dependency on fintechs for reporting
Use Cases
A unified data foundation that centralizes financial data, integrates core systems, enables real-time pipelines, supports compliance, and scales effortlessly for new fintech partners.
