Digital & Technology

Digital & Technology: connect data, systems and infrastructure.

MSD translates digital engineering, cloud, data centre and AI infrastructure requirements into architectures and integrations, addressing data flows, workflows and automation opportunities.

Digital engineeringCloud & data centreAI infrastructureSystem integration

MSD approach

Technology translated into implementable architecture.

We connect requirements, architecture, integration and delivery so the IT scope does not remain disconnected from the industrial or infrastructure project.

  • Requirements linked to architecture choices
  • Data flows and interfaces described
  • Technology alternatives with explicit trade-offs

When to involve MSD

When applications and infrastructure have mismatched requirements.

Data sources, interfaces and operating conditions need to be understood before a technology is selected.

01

Data requires manual transfers between applications

Map transfers between applications to identify duplication, exchange rules and steps that could be automated.

02

Cloud and data centres have integration constraints

Examine application dependencies, connectivity and data-location requirements before defining the target architecture.

03

AI infrastructure and workflows lack consolidated requirements

Gather workload needs, data flows and operating conditions to make infrastructure options comparable.

Service scope

Digital architecture and system integration.

01

Digital architecture

Translate operational and application requirements into system boundaries, data flows and documented architecture decisions.

02

Hybrid & sovereign cloud

Assess workload placement, integration and data-residency requirements across hybrid and sovereign cloud options.

03

Data centre design support

Support the definition of data centre requirements and interfaces between IT capacity and physical infrastructure.

04

AI infrastructure

Examine compute, storage, networking and data-supply needs to frame the infrastructure required for AI workloads.

05

System integration

Define interfaces and exchange rules between applications, linking data formats and error handling to the intended workflows.

06

Technical vendor coordination

Compare technology vendor proposals and constraints with architecture requirements, following clarifications on system interfaces.

Outputs

Documented technology choices and defined integrations.

01

Architecture document with system boundaries

02

Requirement matrix for workflows and infrastructure

03

Integration design with data flows and interfaces

04

Technology assessment with alternatives

05

Implementation roadmap with dependencies

06

Technical decision register with rationale

Delivery model

From digital requirements to a technical roadmap.

01

Digital requirements

Map workflows, data sources and infrastructure constraints.

02

Architecture options

Assess cloud, data centre and integration alternatives.

03

Interface design

Define data flows and system integration requirements.

04

Technical roadmap

Sequence dependencies, decisions and implementation steps.

Related services

Connect the scope with the wider project lifecycle.

Digital & Technology

Which systems or data flows do you need to connect?

Describe the existing applications, infrastructure and workflow you want to improve to establish integration requirements.

Discuss your systems