Fiserv to Snowflake: Modernizing Banking Data for Reporting, AML and Analytics
Trusted by 30+ banks modernizing their data
What does it mean to move Fiserv data to Snowflake?
Moving Fiserv data to Snowflake means extracting core banking and transaction data, centralizing it in a secure cloud platform, and enabling governed data sharing, analytics, and reporting across the bank from a single source of truth.
Banks increasingly adopt this approach to enable real-time insights, scalable analytics, and secure data sharing across systems.
iDENTIFY at a Glance
processors mapped
major AML/BSA systems integrated
transactions cleaned daily
active client banks across the U.S.
Why Fiserv data creates challenges for reporting, AML and analytics
Fiserv processes massive volumes of financial data across core banking, payments, and digital channels. However, this data is often distributed across batch systems, feeds, and downstream applications, making it difficult to unify and trust.
Without a centralized platform, banks face fragmented visibility and operational inefficiencies.
- Batch-based data delays limit real-time visibility
- Disconnected systems create inconsistent reporting
- Manual reconciliation across core, payments, and fintech systems
- Limited data lineage and audit traceability
- Inconsistent inputs into AML and fraud systems
Centralize and govern Fiserv data in Snowflake
Snowflake provides a scalable, secure platform for centralizing Fiserv data across core systems and channels. With capabilities like secure data sharing and separation of compute and storage, banks can access and analyze data without duplicating pipelines.
Fiserv itself has adopted this model through solutions like Data Compass, built on Snowflake to create a single source of truth with governed data access and analytics.
iDENTIFY extends this by ensuring:
- Validation at ingestion
- Standardized data models
- Governed access and lineage
Already exploring Data Compass?
Data Compass is Fiserv’s native data product, built on Snowflake. It’s a meaningful step toward centralizing your core data — and banks evaluating it are asking the right questions.
Where banks are seeing constraints:
- Pricing tied to asset size and channel count
- Limited data history (typically 1-month or 2-year windows)
- Data remains within Fiserv’s managed Snowflake environment—not one your bank controls
How iDENTIFY approaches it differently:
- Your own governed Snowflake environment
- Full historical data access
- Broader coverage across core and channel systems
- Infrastructure owned and controlled by your team
How Fiserv → Snowflake architecture works
Fiserv data extraction
Core banking, payments, and channel data are extracted via feeds, APIs, and event streams.
Data ingestion pipeline
Data is securely ingested into Snowflake using batch, CDC, or real-time streaming pipelines.
Validation at ingestion
Data quality checks, schema enforcement, and business rules are applied before data is stored.
Standardization layer
Data is normalized into consistent formats and definitions across all systems and partners.
Unified data models
Clean, reconciled datasets are structured into shared models for reporting, AML, and analytics.
Consumption layer
Trusted data powers AML systems, regulatory reporting, dashboards, analytics, and AI use cases.
What iDENTIFY enables with Fiserv + Snowflake
Snowflake’s architecture enables secure, real-time data sharing without duplication, improving access and collaboration across teams.
- Validation at ingestion (before data reaches downstream systems)
- Standardized data across core, payments, and fintech platforms
- Unified reporting and analytics models
- Built-in data lineage and auditability
- Real-time visibility into data quality
Where Fiserv → Snowflake delivers value
Risk mitigation
Data Compliance
Core Modernization
Fintech Onboarding
Customer 360
AI Readiness
What iDENTIFY does with your Fiserv data
Connect your Fiserv data from Snowflake to your CRM
Once your core and channel data is centralized and validated in Snowflake, iDENTIFY connects it to the tools your teams already use — including your CRM. Instead of manual exports and spreadsheet handoffs, your relationship managers, compliance team, and marketing department work from the same clean, governed data source.
Want to connect your core data to your CRM? Book a discovery call and we’ll walk you through how it works for your setup.
Outcomes for Banks
Centralizing data enables faster decision-making and better insights across the organization.
- Faster and more reliable reporting
- Reduced audit findings and compliance risk
- Improved AML accuracy and consistency
- Scalable fintech onboarding
- Lower operational overhead
Frequently Asked Questions
Banks extract Fiserv data from core systems and feeds, ingest it into Snowflake, validate and standardize it, and use it for reporting, AML, and analytics.
Snowflake provides a scalable, secure platform that centralizes fragmented data, enables real-time access, and supports governed data sharing across systems.
