Case Study: McKenzie Intelligence triples efficiency and runs 24/7 on Astro
Key results
The challenge
McKenzie Intelligence Services performs catastrophe assessment for natural and man-made disasters using satellite, aerial, and street-level imagery with advanced analytics. It relied on manual processes and ad-hoc scripts run by individual developers, causing inconsistent processing, limited visibility, and heavy operational overhead.
The solution
McKenzie implemented Astronomer's managed Apache Airflow platform to automate ETL workflows, large imagery-file processing, and machine-learning pipelines for building-damage assessment.
“Astronomer has tripled our efficiency from a working hour perspective. There are no more working hours. Everything is just 24/7 now.”
ANAndrei NitaHead of Technology, McKenzie Intelligence Services
The results, in context
With Astronomer, McKenzie Intelligence Services reported tripling its efficiency from a working-hours perspective and shifting to continuous 24/7 operations, removing manual scheduling constraints from its disaster-response workflows.