Logiciel Solutions · Data Engineering
12 questions, 3 minutes. Find out how much visibility your team actually has into the health of your data — across freshness, schema, lineage, volume, and distribution — and where blind spots are costing you trust.
The questions
Pick the answer that describes your current state, not your roadmap.
We’ll email the breakdown by pillar with the gaps that matter most for your data stack, and offer a short call to map out the quickest path to full observability.
No spam. We’ll follow up only if it’s relevant.
How scoring works. Each of the 12 questions scores 0–3 across six observability pillars: Visibility, Freshness, Schema, Lineage, Volume, and Distribution. Maximum score is 36. Blind (0–9) means data problems are invisible until consumers notice; Reactive (10–18) means you detect issues after they occur; Observable (19–27) means proactive monitoring is in place; Continuous (28–36) means full-stack observability with automated detection and response. The pillar bars show where your blind spots are.
Logiciel Solutions · logiciel.io
