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Data Rocket for Banks and Credit Unions

Supporting a Modern Data Strategy for Banks and Credit Unions

Banks and credit unions are facing an explosion of data from digital banking platforms, third-party applications, and emerging channels. Traditional core providers like Jack Henry, Fiserv, and FIS can no longer serve as the hub for modern data strategy. Institutions need to move toward core independence and adopt cloud-native platforms that unlock the full value of data across the ecosystem.

Data Rocket® is Passerelle’s end-to-end data modernization solution built on Snowflake. It helps financial institutions unify disparate data sources into a scalable cloud platform, enabling trusted analytics, AI readiness, and real-time business insights. By decoupling data from legacy cores, banks and credit unions can innovate faster, improve efficiency, and compete more effectively.

Data Rocket for Banks and Credit Unions

Building a Future Ready Data Estate on Snowflake

To compete and thrive, banks and credit unions are under a constant pressure to evolve. Customer expectations are shaped by digital-first experiences, while regulatory requirements, cybersecurity risks, and competitive threats continue to rise. At the same time, financial institutions must contend with siloed systems, legacy core constraints, and growing data volumes from online banking, mobile apps, marketing platforms, and third-party solutions.

Traditional core banking systems and bank-in-a-box solutions cannot keep pace with this complexity. As a result, many institutions are shifting to core-independent and siloed data strategies by replicating and enriching data in a cloud datalake warehouse to enable flexible analytics, regulatory reporting, and integrations with fintech partners. This approach not only reduces dependency on a single provider but also positions banks and credit unions to adapt quickly to new technologies and market shifts.

Data Rocket® provides a proven framework for this modernization journey

Built on Snowflake’s Data Cloud, it unifies data ingestion, integration, governance, and analytics in a single environment. In practice, this means:

  • Agile Modernization: Institutions can begin small with functional, governed data marts that deliver immediate insights, while progressively building toward a comprehensive cloud data estate. This phased approach reduces risk, avoids large upfront costs, and accelerates time-to-value.
  • Operational Efficiency: By centralizing data from cores, third-party vendors, and internal applications, Data Rocket® reduces manual reporting burdens and operational overhead. Automation of ingestion and transformation workflows ensures that compliance, regulatory, and internal reporting processes run seamlessly.
  • Data Governance and Trust: Observability dashboards, audit trails, and automated data quality checks ensure accuracy and compliance. With these guardrails in place, leaders can trust the data driving their most important business decisions.
  • AI and Advanced Analytics Readiness: Data Rocket® structures and enriches data in ways that prepare it for artificial intelligence, machine learning, and even generative AI use cases. From predictive customer insights to AI-driven digital assistants, the platform creates a foundation for future innovation.
  • Future-Proof Architecture: By leveraging Snowflake’s elasticity, security, and ecosystem, financial institutions gain an architecture that scales with demand and integrates with emerging fintech solutions, ensuring long-term adaptability.

Data Rocket® gives banks and credit unions the tools to decouple from legacy cores, unlock the full value of enterprise data, and prepare for an AI-driven future. With this platform in place, institutions can improve efficiency today while building the agility needed to compete tomorrow.

Customer Testimonials

“Our data estate is only growing, and our ability to use it and leverage it will be essential to remain competitive with larger banks and similar-sized competitors. It will not be enough to simply keep doing what we have been doing. We need to be continually innovating – and Snowflake provides the right tools and technologies at our fingertips.” Troy Carmichael, SVP of Enterprise Data Management at Renasant Bank

Data Rocket® for Financial Services

Data Quality Watch

  • Automated profiling and anomaly detection.
  • Data quality indicators for completeness, accuracy, timeliness, and integrity.

3rd Party Data Accelerator

  • Predefined views linking external datasets with internal customer data.
  • Dashboards for insights into growth opportunities (e.g., mortgage market share).

Mastered Data Framework

  • Creates a “golden record” of customers and households.
  • Enables accurate, cross-line-of-business reporting.

Observe and Control Framework

  • Provides versioning to troubleshoot historical data.
  • Allows stewards to pinpoint and resolve inaccuracies at the source.

Governed Dynamic Ingestion

  • Automated ingestion from core, digital, and third-party sources.
  • Change data capture and preliminary cleansing for accuracy.
  • Transparent observability dashboards for governance.

Data Rocket Banking Assistant

  • Leverages Snowflake’s native AI and ML capabilities.
  • Enables natural language queries across structured and unstructured data.

Related Offerings

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Guide
to Modernization for Banks and Credit Unions

Frequently Asked Questions

What is Data Rocket®?

Data Rocket® is a data estate modernization solution for banks and credit unions, designed to unify data from multiple systems into a secure, scalable Snowflake platform. It enables faster analytics, AI readiness, and core independence.

Why is core independence important?

Legacy cores limit innovation and flexibility. Data Rocket allows institutions to decouple critical data capabilities from the core, ensuring agility, interoperability, and freedom to choose best-fit partners.

How does Data Rocket support AI initiatives?

The architecture organizes and governs data in a way that makes it “AI-ready.” Institutions can deploy machine learning and generative AI models, create intelligent assistants, and drive predictive analytics with trusted data.

How quickly can results be seen?

Within 90 days, banks and credit unions can deploy governed data marts, improve reporting, and begin answering mission-critical business questions about customer attrition, product performance, and growth opportunities.

What are the security and compliance features?

Data Rocket leverages Snowflake’s enterprise-grade encryption, role-based access controls, and auditing capabilities, combined with Passerelle’s governance frameworks to ensure compliance with banking regulations.

Who uses Data Rocket today?

Regional and mid-market banks and credit unions are already using Data Rocket to modernize data strategies. Customers like Camden National Bank, Berkshire Bank, Renasant Bank and Metro Credit Union highlight its role in enabling efficiency, agility, and deeper customer relationships

Camden National Bank + Passerelle

Camden National Bank (CNB) is a nationally recognized bank that serves customers throughout New England. CNB knew that in order to keep up with increasing competition and meet customer demands, it needed to update its data architecture to quickly respond to changes in the market. Using Data Rocket, Camden National Bank has streamlined its data architecture, unlocking insights and realizing new commercial banking opportunities with third party data sets. Camden National Bank Vice President Josh Nash shares how Data Rocket has impacted Camden National Bank in this short video testimonial.