A Centric data infrastructure assessment is a structured diagnostic of your data platform, pipelines, transformation, observability, team, and use cases. It produces a prioritized roadmap of what to build first, what to migrate, what to retire, and what to leave. Good assessments pay for themselves by preventing wrong-platform mistakes that cost quarters later.
What a Data Infrastructure Assessment Covers?
|
Area |
What gets reviewed |
|
Use cases |
High-value use cases the stack should serve |
|
Sources and ingestion |
Source systems, connectors, latency |
|
Storage / platform |
Warehouse / lake / lakehouse fit |
|
Transformation |
dbt or equivalent; modeling discipline |
|
Observability |
Tests, freshness, alerting the seven principles behind scalable data pipeline architecture define what good observability looks like in practice |
|
Team and operating model |
Roles, responsibilities, capacity for context on how mature teams are structured, see data engineering team structure and roles |
|
Sequencing |
What to ship first, migrate, retire |
When to Get an Assessment?
Get an assessment when: leadership has set a data mandate and the team needs a concrete roadmap; existing pipelines are brittle and the cause is unclear; a migration is on the horizon and you want an unbiased read; or the program has grown organically and the strategy needs to consolidate.
How Centric Delivers the Assessment?
Discovery and access setup (sources, warehouse, dashboards, pipelines); review across the seven assessment areas; synthesis into a prioritized roadmap with effort/impact estimates; readout with the working team and (if useful) leadership. The assessment produces an opinion not a deck of options. Centric delivers assessments through its data engineering and warehousing service.
What You Receive
Written findings report covering the seven assessment areas with severity ratings; a prioritized roadmap with effort/impact estimates; recommended platform direction (without favoring a specific vendor); a sequencing recommendation for the next 90 days; and a readout session. The point is to leave your team with a clear, defensible plan whether you build it with Centric or internally.
Frequently Asked Questions
What does a data infrastructure assessment cost?
Depends on scope and depth. Centric shares pricing after a brief scoping call.
How long does the assessment take?
Typically two to six weeks from kickoff to readout, depending on access and program complexity.
Do we need to switch platforms after?
Usually not. Most assessments recommend an investment sequence inside the existing platform footprint. Platform changes are recommended only when the platform is the bottleneck.
Will you keep working with us after?
Only if it makes sense. Some clients implement internally; others engage Centric. The assessment is valuable either way.
Conclusion
A data infrastructure assessment is the disciplined start of a serious program. It produces clarity about what works, what doesn't, and what to invest in, and protects against the most common mistake in data programs: investing before understanding.
The next step is requesting one. At Centric, assessments are the first thing we do before recommending platforms, before proposing work, before anything.
