Bring a map to your
data architecture.
Map your data flows, establish a baseline, and define a prioritized validation plan with explicit evidence and limitations.
// illustrative assessment workflow, not a customer result
Map
Current data paths
Baseline
Observed cost and behavior
Test
Bounded representative workload
Measure
Customer-specific outcomes
/ Consultation types
Pick what's breaking first.
Not sure? Start with a discovery call. We'll route you to the right one.
Data Governance
Most requestedMap data-locality requirements, configured outputs, and the evidence needed to assess the complete environment.
Data Management
Lifecycle, retention, and storage across distributed environments without costly centralization.
Data Integration
Map required systems to the current documented component catalog and record integration gaps.
Data Quality
Validate, clean, and enrich data where it's produced - not after it poisons your warehouse.
/ How it works
Four steps. No surprises.
Discovery call
Your stack, your bottlenecks, your goals. No slides. No pitch deck.
Assessment
Map data flows, establish baselines, identify evidence gaps, and agree on a bounded validation workload.
Custom roadmap
Prioritized validation plan with dependencies, acceptance evidence, limitations, and customer-specific measures.
Optional pilot
Proof of concept on a representative workload, measured against the agreed baseline and acceptance criteria.
/ Signal from the field
"The 30-day assessment paid for itself in the third week: we killed $400k/year of Splunk ingest we didn't know we were writing."
Platform Lead
Fortune 500 financial services · 2025 engagement
Ready to see what's leaking?
30-minute discovery call. You'll leave with three concrete ideas whether or not you engage further. We don't do sales pressure. We ship infrastructure.
/ What you bring
- A rough map of your current data pipeline
- Your biggest unknown or biggest cost
- 30 minutes, a working laptop, and hard questions
