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Overview
In the wake of expanding their North American footprint, BMO faced a massive technical hurdle: unifying disparate data layers from multiple legacy platforms. They required a robust interoperability framework to allow these heterogeneous systems to “speak” to each other without a high-risk, multi-year re-platforming.
Challenges
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Data Incompatibility: Legacy database schemas varied wildly across departments, creating massive friction for real-time reporting.
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Sync Latency: Traditional batch processing was too slow for modern, sub-second financial decision-making.
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Security Gaps: Bridging disparate systems often introduces vulnerabilities if not handled with enterprise-grade encryption and IAM controls.
Our Approach
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Custom Data Adapters: We engineered a series of specialized adapters for data layers, acting as a high-performance translation engine between legacy SQL environments and modern NoSQL cloud structures.
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AWS Event-Driven Architecture: Utilized AWS Lambda and Kinesis to move away from batch processing toward a real-time, event-driven data flow.
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Unified Schema Mapping: Designed a standardized “Common Data Model” that allowed every disparate system to map to a single source of truth for immediate interoperability.
Results
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Near-Zero Latency achieved in data synchronization across five major heterogeneous systems.
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40% Reduction in the time required for developers to integrate new features into the legacy core.
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Audit-Ready Compliance: Provided BMO with end-to-end data lineage tracking for regulatory transparency.
Client Feedback
“By writing specialized adapters for our complex data layers, the team solved an interoperability crisis that had plagued our growth for years. They brought true data liquidity to our enterprise.”
