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Nexinc EA Consulting

Service Detail

Data & Integration Architecture

Modern enterprises run on connected systems and trusted data. We help you design an API-first, event-driven, and secure integration architecture that keeps your landscape aligned, observable, and ready for change.

Who this is for

CIOs, integration leads, and data/EA teams who need a coherent approach for APIs, messaging, events, and data flows across complex hybrid or multi-cloud landscapes.

Typical triggers

  • • Point-to-point integrations that are hard to change.
  • • Multiple iPaaS / ESB / event brokers without a clear model.
  • • APIs, events, and data contracts evolving with no standardisation.

Engagement length

Most data & integration architecture engagements run 6–10 weeks, depending on scope (core domains vs. enterprise-wide).

What we do in this engagement

  • • Assess your current integration & data landscape: patterns, platforms, runtimes, contracts, and key pain points.
  • • Define a target integration architecture combining APIs, events, batch, and data sharing — aligned to your EA and business capabilities.
  • • Establish canonical data models and integration domains where they add clarity and reuse (e.g. product, order, customer, inventory).
  • • Design API strategy & standards: lifecycle, versioning, security, governance, and developer enablement.
  • • Introduce event-driven patterns where they make sense (real-time updates, decoupled consumers, audit trails), with clear topic / event modelling.
  • • Define integration platform roles (ESB, iPaaS, event broker, API gateway, data integration tools) and their place in your target architecture.
  • • Address cross-cutting concerns: security, observability, error handling, resilience, and data quality across flows.

What you get as concrete outputs

  • • A concise current-state integration map showing key flows, systems, and technologies.
  • • A target integration reference architecture (logical and, where needed, technology-specific).
  • • A set of core integration patterns (sync/async, request–reply, pub/sub, event-carried state, batch/stream, file/API) and when to use each.
  • • Initial canonical models / data contracts for your most critical domains, ready to refine and extend.
  • • An API & event governance playbook (naming, versioning, lifecycle, approval model).
  • • A prioritized roadmap of integration and data initiatives (rationalisation, new patterns, platform adoption, migration steps).

Outcomes you can expect

Less coupling, more agility

Systems are connected through well-defined contracts and patterns, not brittle point-to-point links — making change safer and cheaper.

Clear platform roles

ESB, iPaaS, API gateway, event broker, and data tools each have a clear mandate, reducing overlap and confusion.

Trustworthy data in motion

Data flows are secure, observable, and monitored — with fewer surprises, less firefighting, and improved auditability.

How we typically work with you

  1. 1. Landscape & pain-point review. We analyse your current integrations, data flows, technologies, and top issues (stability, change effort, data quality).
  2. 2. Target architecture & guiding principles. Together we define what “good” looks like for APIs, events, and data integration in your context.
  3. 3. Pattern & contract design. We define core patterns, canonical models, and example contracts for your key domains and use cases.
  4. 4. Roadmap & governance. We translate the architecture into a pragmatic implementation roadmap and establish guardrails for future integrations.

Explore your integration architecture options

In a 45-minute call we’ll walk through your current landscape and discuss what an API-first, event-driven architecture could look like for your organisation.