Architecture & scale
Document critical data flows, capacity limits and cost ownership before selecting infrastructure changes.
DATA ENGINEERING · SELF-ASSESSMENT
Review how your data is connected, governed and operated. Identify the gaps to address before your next analytics or AI investment.
15 questions · Around 5–7 minutes · Immediate results · No email needed for your score
WHAT WE ASSESS
Each dimension contains three questions with five concrete maturity choices. Your answers identify practices to strengthen and assumptions to confirm.
Document critical data flows, capacity limits and cost ownership before selecting infrastructure changes.
Inventory sources, refresh requirements and schema dependencies; prioritize the integrations that affect business decisions.
Add quality checks, freshness alerts and tested recovery steps to the pipelines that support critical reports.
Assign dataset owners, review sensitive-data access and establish lineage for critical business information.
Agree core business metrics and validate the access, quality and ownership of data needed for one priority use case.
SAMPLE REPORT · ILLUSTRATIVE ONLY
Your result includes an overall maturity level, scores across five dimensions, evidence gaps and three suggested priorities. Download the full response record or use it to prepare an expert review.
Example priority: investigate the lowest-scoring dimension and confirm the evidence behind each answer.
HOW SCORING WORKS
Work depends heavily on manual response and individual knowledge.
Practices exist but are not yet consistently applied.
Core practices have defined processes and ownership.
Practices are measured, tested and improved using evidence.
Responses are scored from 1 to 5 and normalized to 0–100. Dimensions are equally weighted and require at least two known answers each. An overall score is shown only after all questions are answered and all dimensions can be scored. This framework does not compare you statistically with other companies.