Find Hidden Risks with a Data Architecture Assessment
The Architectural Cracks Slowing Your Business
Architecture Built for Yesterday's Data Volume
- Pipelines miss SLAs as new data sources keep stacking up
- Storage and compute costs grow faster than revenue
- Engineers spend nights firefighting instead of building
- Reports run slowly and miss deadlines every quarter
- Your stack cannot handle real-time use cases yet
No Single Source of Truth
- Finance, sales, and ops report different revenue figures
- Data lives in silos across warehouses, lakes, and tools
- Leaders delay calls while teams reconcile broken numbers
- Governance gaps create real audit and compliance risk
- New hires cannot find the right dataset for weeks
AI and Analytics Goals Outpace Your Foundation
- AI pilots stall because data is messy or unavailable
- Models break in production due to schema drift
- Your team lacks a clear path to a modern lakehouse
- Cloud spend grows, but ROI on data stays flat
- Leadership questions every new data investment
Data Architecture Assessment Services Built for Scale
A full review of your data foundation, mapped against the standards top enterprises trust.
Most assessments hand you a generic slide deck. We do not. We map your current architecture against DAMA, TOGAF, and AWS, Azure, or GCP reference models. You see exactly where your stack stands.
Our team runs a structured review of your data layers, pipelines, governance, and security. You get a ranked list of risks, quick wins, and long-term fixes. Every finding ties back to a real business goal.
Build on Your Assessment Findings
Explore Data Pilot services that turn assessment insights into real outcomes.
Data Strategy
Turn assessment findings into a clear, board-ready data roadmap.
Data Governance
Set up policies and controls to fix the gaps your audit reveals.
Data Engineering
Rebuild fragile pipelines into scalable, production-grade flows.
AI Readiness
Confirm your stack can carry the AI use cases your team plans next.
Data Quality
Clean and validate sources so every dashboard speaks the same truth.
Cloud Migration
Move workloads to AWS, Azure, or GCP with zero downtime risk.
Data Strategy
Turn assessment findings into a clear, board-ready data roadmap.
Data Governance
Set up policies and controls to fix the gaps your audit reveals.
Data Engineering
Rebuild fragile pipelines into scalable, production-grade flows.
AI Readiness
Confirm your stack can carry the AI use cases your team plans next.
Data Quality
Clean and validate sources so every dashboard speaks the same truth.
Cloud Migration
Move workloads to AWS, Azure, or GCP with zero downtime risk.
The Frameworks We Use to Assess Your Architecture
Industry-standard methods plus deep cloud expertise across all three major platforms.
Standards & Methodology
The foundation layer
DAMA-DMBOK
Industry-standard framework for data management body of knowledge.
TOGAF
Enterprise architecture method to map your full data and tech layer.
Cloud Frameworks
The reference layer
AWS Well-Architected
Amazon's reference model for secure, scalable cloud data design.
Azure CAF
Microsoft's Cloud Adoption Framework for governance and migration planning.
Google Cloud
The design layer
GCP Architecture Framework
Google's design model for reliable, cost-aware data platforms.
Cloud Data Reference
Best-practice patterns for data lakes, lakehouses, and warehouses.
Audit Toolkit
The execution layer
Custom Scorecards
Our proprietary matrix built on 100+ enterprise architecture audits.
Lineage & Cost Profilers
Scripts that surface waste and bottlenecks across your stack.
Structured Path from Hidden Risk to Clear Roadmap
Our 4-step assessment delivers an action-ready report in weeks, not months.
Diagnose
(Week 1)
Design
(Week 2)
Build
(Week 3)
Validate
(Week 4)
Comparison: The Better Way to Assess Your Data Architecture
The Data Pilot Way
Frequently Asked Questions
Answers to your top questions about our Data Architecture Assessment.
How long does a data architecture assessment take?
Most assessments wrap up in four weeks. Larger enterprise stacks may extend to six weeks based on scope.
Will you touch our production systems?
No. The assessment is read-only. We review configs, logs, and metadata without changing a single pipeline.
What do we get at the end?
A ranked report of risks, quick wins, and long-term fixes plus a board-ready executive summary.
Which frameworks do you use?
We blend DAMA-DMBOK, TOGAF, and the cloud framework you run on, whether AWS, Azure, or GCP.
Do we need to commit to more services after?
No. The assessment is standalone. You own the report and can act on it with us, in-house, or another partner.
How is this different from a generic IT audit?
We focus only on your data and AI layer. Every finding ties to a real business goal, not a tech checklist.
Take the First Step Toward a Stronger Data Foundation
Ready to find the architectural risks slowing your growth before they break your stack?
- Identify the top three risks hiding in your current data architecture today
- Review a custom scorecard built on DAMA, TOGAF, and your cloud framework
- Understand exactly where your stack blocks AI, analytics, and scale goals
- Confirm a clear, ranked roadmap you can action with any team or partner
- Walk away with a board-ready summary in four weeks, not six months