A data architecture that teams can deliver and operate

Architecture only creates value when it fits source systems, team capability, security requirements, and the enterprise growth path.

Discuss your target architecture

ServicesA clear blueprint from source data to BI and AI consumption.

Avoid architecture that works only on a diagram

Technology choices disconnected from the current environment increase integration cost, create new silos, and transfer complexity into operations. The target architecture must support incremental delivery.

Sources and integrationStorage and processingData serving

Design scope

Sources and integration

Map systems, frequency, protocols, and suitable batch, API, or streaming patterns.

Storage and processing

Define the roles of Warehouse, Lakehouse, data lake, and processing layers.

Data serving

Design semantic models, data products, APIs, and access paths for BI, applications, and AI.

Governance and operations

Embed metadata, quality, lineage, security, monitoring, and recovery from the start.

From requirements to blueprint

01
Capture constraints
Clarify service levels, security, scale, skills, and operating cost.
02
Compare options
Evaluate architecture alternatives against agreed criteria.
03
Design the system
Specify components, data flows, interfaces, and operational responsibility.
04
Confirm the roadmap
Break the target architecture into verifiable delivery stages.

Architecture outcomes

Fewer isolated technology decisions and overlapping integrations.
Clear data flows, interfaces, and responsibility boundaries.
A stronger basis for scale, security, and recovery.
A blueprint detailed enough for delivery teams to begin.

Discuss your data challenge

Share your goals, current environment, and priority scope to prepare for a conversation with ICS.

Hotline: 0931 487 231
Email: contact@ics.vn