Where does reporting data come from today? Choose one Spreadsheets and direct queries on production A reporting database refreshed on a schedule A modelled warehouse with defined layers A governed platform with contracts between layers
If a number looks wrong, how long to trace it to source? Choose one Days, and often inconclusive Hours, by asking the right person Minutes, with documentation Immediately, lineage is captured automatically
How are pipeline failures detected? Choose one Someone notices a stale dashboard Job failure alerts Job and freshness alerts Data quality tests fail before consumers see it
Who can access sensitive data? Choose one Broad access, unclear boundaries Role-based, reviewed occasionally Least privilege with periodic review Least privilege, row/column controls, full access logs
How is infrastructure provisioned? Choose one Manually, by hand Scripted in places Infrastructure as code for most of it Fully declarative with environment parity
How is your data lake or warehouse organised on AWS? Choose one No lake or warehouse; teams query source systems directly A warehouse exists but ETL/ELT jobs are ad hoc scripts A structured lake or warehouse with scheduled, monitored pipelines A governed lakehouse with managed, incrementally-loading pipelines
Where is machine learning today? Choose one Not started or exploratory only Notebooks, nothing in production One or two models deployed Models in production with monitoring and retraining
Show my result →