Data Migration & Modernization
Unify, Modernize, and Prepare for the Future: AI-Ready Data Migration for Financial Institutions
Why Data Migration Matters
Banks and credit unions operate across disconnected legacy systems, siloed databases, and rigid vendor platforms—making it nearly impossible to innovate at scale. treXis Data Hub™ bridges the gap, enabling financial institutions to migrate, modernize, and unify their data for AI-driven insights, real-time decisions, and M&A agility.
The X Banking™ Data Hub: Your AI-Ready Migration Engine
Bridge Legacy Systems to an AI-Driven Future
M&A Readiness: Data Unification at Enterprise Scale
Fast-Track M&A Integrations with Unified Data
AI Readiness: Making Data Accessible, Yet Secure
The AI Transformation Starts with a Modern Data Foundation
How treXis Works: Our Migration & Modernization Process
We take a phased, risk-mitigated approach to data migration, ensuring zero disruption, full compliance, and rapid AI enablement.
🔹 Step 1 – Assessment: Understand your current systems & data structure
🔹 Step 2 – Strategy: Develop a tailored migration roadmap
🔹 Step 3 – Data Hub Connectivity: Establish connectivity from multiple sources into the Data Hub
🔹 Step 4 – Zero disruption migration: Unify all data into a FI owned environment that becomes the primary location for data. It is securely distributed to each system
🔹 Step 5 – Drive value from YOUR Data: Plug in modern technologies and AI to gain efficiency and performance.
Is my data secure during the migration?
Yes. treXis uses zero-trust security models, encryption, and access control mechanisms to ensure compliance with FFIEC, GDPR, and NIST.
How long does a typical data migration take?
Our phased approach ensures enterprise-scale migration within 6-12 months, depending on complexity.
Can we integrate third-party AI models?
Absolutely. Our API-first approach allows banks to connect external AI solutions, enabling fraud detection, predictive analytics, and personalized banking experiences.