Your Current State: Siloed Systems
Database 1
Database 2
Database 3
Database 4
Core transaction layer
(Fragmented operations)
(Fragmented operations)
Infrastructure layer
(Point-to-point integrations)
(Point-to-point integrations)
→
Your Target: Integrated Platform for Fast Innovation
1. Omnichannel Experience Layer
🖥️ Online • 📱 Mobile • 🏪 In-Store • ☎️ Call Center • 🤝 Partners
All customer touchpoints consume data and services through standardized APIs.
Channels interact with the data layer, not directly with core systems—ensuring consistent,
real-time customer experiences regardless of underlying platform.
2. Digital Enablement Layer
APIs • Microservices • Business Logic
Cloud-native services that orchestrate business logic independently of core systems.
This layer enables rapid deployment of new capabilities—digital experiences, analytics, and AI—
without requiring changes to underlying transactional systems.
3. Data & Integration Layer
The Operational Heart of the Architecture
Operational Data Store
Golden Records & Master Data
Authoritative source of truth synchronized bidirectionally with legacy and strategic systems.
Enables consistent data access across all channels and applications.
Analytics Platform
Cloud Data Warehouse & Lakehouse
Enables advanced analytics, AI/ML capabilities, and regulatory reporting.
Supports business intelligence and data science initiatives.
Integration Services
CDC • Event Streaming • APIs
Near-real-time data synchronization between systems.
Event-driven architecture enables responsive, decoupled systems.
Architectural principle: This layer handles real-time operational data flows, not just batch reporting.
Change data capture replicates changes in near-real-time. Business APIs serve both digital channels and core systems.
Transforms data from a passive artifact into an active operational capability.
4. Core Transaction Layer
Legacy & Strategic Systems (Coexistence)
Coexistence pattern: Legacy and modern operational systems run simultaneously through data layer synchronization.
Systems can be upgraded or replaced incrementally over multi-year timelines without disrupting operations.
The data layer ensures consistent information delivery regardless of underlying platform.
