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FIS to Snowflake: Modernizing Core Banking Data for Reporting, AML, and Analytics

Your FIS data, centralized in Snowflake. Validated. Governed. Ready to use. Your core system stays exactly where it is.
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Trusted by 30+ banks modernizing their data

What does it mean to move FIS data to Snowflake?

Moving FIS data to Snowflake means extracting core banking, payments, and investment data from FIS platforms, centralizing it into a secure cloud data platform, and enabling governed analytics, reporting, and data sharing across the bank from a single source of truth.

Banks adopt this approach to enable real-time insights, scalable analytics, and consistent regulatory reporting across systems.

at a Glance

25
+

processors mapped

4

major AML/BSA systems integrated

70
M

transactions cleaned daily

30
+

active client banks across the U.S.

Why FIS data creates challenges for modern banking

FIS platforms support core banking, payments, and capital markets operations at scale. However, data is often distributed across multiple systems, batch feeds, and downstream applications, making it difficult to unify, govern, and trust.

As reporting requirements grow and fintech ecosystems expand, these limitations create operational friction and compliance risk.

  • Batch-based data delays limit real-time visibility
  • Disconnected systems create inconsistent reporting
  • Manual reconciliation across core, payments, and downstream systems
  • Limited data lineage and audit traceability
  • Inconsistent inputs into AML and fraud monitoring systems

Build a unified data foundation for FIS in Snowflake

Snowflake provides a scalable, secure cloud platform designed for financial services data. It enables banks to centralize FIS data across core systems, payments, and investment platforms while supporting secure data sharing and high-performance analytics.

FIS itself has embraced modern data platforms to enable enterprise-wide data access, analytics, and digital transformation.

iDENTIFY extends this by:

  • Validating data at ingestion
  • Standardizing data across systems
  • Enforcing governance, lineage, and access controls

Already exploring FIS Horizon?

FIS Horizon is FIS’s native data product built on Snowflake. It’s a meaningful step toward   centralizing your core data — and banks who’ve heard about it are asking the right   questions. The honest reality: based on the last public information from FIS, Horizon is in   early rollout with just a handful of banks piloting. Most FIS banks don’t have access yet.

Where banks are seeing constraints:

  • FIS Horizon is still in early pilot — most FIS banks don’t have access yet
  • Banks are hearing timelines from FIS that feel far from reality
  • No guarantee of when your bank will be included in the rollout
  • Waiting on FIS means delaying the compliance and reporting   your teams need now

How iDENTIFY approaches it differently:

  • Move your FIS data into Snowflake now — on your timeline, not FIS’s
  • Your own governed Snowflake environment — your bank owns it
  • Validation, standardization, and unified data models built in
  • Full data history with no artificial lookback limits
FIS Horizon (native product)
iDENTIFY + Snowflake
In early pilot — most FIS banks don’t have access yet
Move your data into Snowflake now — no waiting
Banks reporting timelines that feel far from reality
Validation, governance, and unified data models included
Pricing and rollout terms still being defined
Pre-built patterns across 25+ bank data sources
Tied to FIS’s deployment schedule, not yours
Your bank owns the environment — full data history, full lineage
Want to see how it works for your setup?
Book a discovery call

How FIS → Snowflake architecture works

From core systems to unified, trusted data. A centralized, governed data platform replacing fragmented pipelines and manual reconciliation.
1

FIS data extraction

Core banking, payments, and investment systems provide data via feeds, APIs, and batch processes.

2

Data Ingestion Pipeline

Data is securely ingested into Snowflake using batch, CDC, or streaming pipelines.

3

Validation at Ingestion

Data quality checks, schema enforcement, and business rules are applied immediately.

4

Standardization Layer

Data is normalized across systems into consistent definitions and formats.

5

Unified Data Models

Clean, reconciled datasets are structured for reporting, AML, and analytics.

6

Consumption Layer

Trusted data powers regulatory reporting, AML systems, dashboards, analytics, and AI use cases.

What this architecture enables

Snowflake’s architecture enables secure, real-time data sharing without duplication, improving access and collaboration across teams.

  • Centralized FIS data across core, payments, and capital markets
  • Validation at ingestion before data reaches downstream systems
  • Standardized data models across all platforms
  • Built-in data lineage and auditability
  • Real-time visibility into data quality and issues
  • Secure data sharing across teams without duplication

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 and partner integration
  • Lower operational overhead and manual effort
  • Better enterprise-wide data visibility
Case Study

Sutton Bank- Modernized for the Cloud

Read full case study
Before
On-prem data center
12-hour AML monitoring delays
Costly infrastructure
Limited querying through Kibana
After
Cloud-native Snowflake infrastructure
AML processing reduced from 12 hours to minutes
Infrastructure cost cut by two-thirds
Instant querying

Frequently Asked Questions

How do banks move FIS data to Snowflake?

Banks extract FIS data from core, payments, and investment systems, ingest it into Snowflake, validate and standardize it at ingestion, and use it for reporting, AML, and analytics.

Why use Snowflake with FIS?

Snowflake centralizes fragmented data, enables secure data sharing, and supports scalable analytics and regulatory reporting across banking systems.

Can this be done without replacing FIS?

Yes. Snowflake works alongside FIS, allowing banks to modernize their data architecture without replacing core systems.

What problems does this solve?

It eliminates data silos, reduces reporting delays, improves data consistency, and ensures audit-ready reporting.

What types of FIS data can be integrated?

Core banking, payments, lending, custody, trading, and investment data can all be centralized into Snowflake.

What FIS core systems does iDENTIFY support?

iDENTIFY supports FIS HORIZON, IBS (Integrated Banking Solution), and the FIS Modern   Banking Platform. HORIZON is the most widely used FIS core for community banks. IBS   serves community to large regional banks. All three can be extracted, validated, and   migrated into Snowflake using iDENTIFY’s governed pipeline.

What is FIS Horizon and should we wait for it?

FIS Horizon is FIS’s Snowflake-native data product, currently in early rollout. Based on the   last public information from FIS, only a handful of banks are piloting it and banks are   hearing timelines that don’t match reality. iDENTIFY moves your FIS data into Snowflake   now — validated, governed, and on your timeline, not FIS’s. If and when FIS Horizon   becomes widely available, iDENTIFY’s governed data layer complements it rather than   competing with it.

Let’s modernize your FIS data, together.
A 20-minute conversation with someone who’s worked with FIS data at banks like yours.