The Enterprise Integration Strategy outlines our unified approach to building a connected, data-driven institution. It brings together the core capabilities of Application Integration, Data Integration, and Data Quality under a shared vision: to ensure that data flows securely, reliably, and meaningfully across systems, teams, and processes.
This strategy ensures that integration efforts across the organization are consistent, scalable, and guided by best practices — whether we're moving raw data, triggering business processes, or surfacing insights for decision-making.
Our Vision
To create a trusted, integrated ecosystem where data and applications can interoperate seamlessly — enabling better experiences, operational efficiency, and informed decision-making.
Strategic Pillars
The integration strategy is anchored on three key pillars, each represented by a core team:
Application Integration – Enabling Connectivity
- Provides the platforms, patterns, and guidance to integrate applications securely and at scale
- Supports event-driven, API-first, and file-based communication between systems
- Enables distributed teams to build integrations using standardized infrastructure and reusable components
Data Integration – Enabling Movement & Transformation
- Manages the pipelines and architecture that move data across environments, transform it for analytics, and ensure accessibility
- Supports batch and real-time data ingestion into our data lakehouse using automation frameworks
- Aligns closely with Data Quality to manage data at rest and in motion
Data Quality – Enabling Trust
- Establishes standards, monitoring, and visibility to ensure data is fit for purpose
- Partners with data owners and stewards to define quality expectations and rules
- Ensures that integrations deliver clean, complete, and reliable data
How It All Comes Together
These teams operate in a coordinated, complementary model:
| Function | Key Focus |
|---|---|
| Application Integration | System-to-system workflows, real-time messaging, APIs, and file exchange |
| Data Integration | Movement, transformation, and modeling of structured data for consumption |
| Data Quality | Monitoring, validation, and visibility to ensure trusted information |
This triad ensures that from source system to final use, data and applications are securely connected, accurately transformed, and rigorously validated.
