What’s included
What’s included
Current state assessment
Sources, pipelines, warehouses, tooling and ownership, mapped as they really are.
Built with
- Amazon S3
- AWS Glue
- Amazon Redshift
- AWS Lake Formation
Why it matters
Why it matters.
Fragmented data means every report and every model starts with the same expensive archaeology.
A clear architecture makes analytics and AI additive instead of duplicated.
A defined architecture lets teams add sources and use cases without renegotiating the foundations each time.
It also makes the cost of data visible, which is usually the moment priorities get realistic.
What’s included · how it runs
Discover. Assess. Design. Plan.
Step 01
Discover
Interview stakeholders and inventory the data estate.
What’s included
Current state assessment
Sources, pipelines, warehouses, tooling and ownership, mapped as they really are.
Step 02
Assess
Identify gaps across quality, access, cost and governance.
What’s included
Operating model
Ownership, standards and ways of working, so the architecture survives contact with delivery.
Step 03
Design
Define the target architecture and operating model on AWS.
What’s included
Target architecture
A scalable AWS data architecture covering ingestion, storage, processing and consumption.
Step 04
Plan
Sequence and cost the roadmap for delivery.
What’s included
Roadmap
Sequenced initiatives with costs, dependencies and the value each one unlocks.
What you walk away with
- Data estate assessment
- Target AWS data architecture
- Operating model and standards
- Costed delivery roadmap
Case studies
Customers we’ve delivered this for.
Case study[Client]
[The promise in 2 lines].
[How the client got the outcome: what Assembly built and where it runs. One sentence.]
Talk to an engineer[Client logo][First Last][Role]
Case study[Client]
[The promise in 2 lines].
[How the client got the outcome: what Assembly built and where it runs. One sentence.]
Talk to an engineer[Client logo][First Last][Role]