Retail Technology / Reverse LogisticsSourced
Case Study: Optoro builds data trust and saves 44 hours per week with Monte Carlo
Optoro Case StudySourced & dated by Case Study Desk
Key results
The challenge
Optoro, a reverse-logistics and returns technology company, saw its data engineers spend significant time each week investigating bad data reported through support tickets.
The solution
Optoro deployed Monte Carlo, using automatically generated data lineage to trace issues and reduce manual investigation.
“The fact that the Monte Carlo system is able to build this lineage itself is remarkable. This required little to no input from our data teams in terms of structuring upstream and downstream dependencies.”
PCPatrick CampbellLead Data Engineer, Optoro
The results, in context
Optoro estimated Monte Carlo saves at least four hours per engineer each week on bad-data investigations, totaling 44 hours per week across its team of 11-plus data engineers.
Products used
Monte Carlo Monte Carlo Data + AI Observability Platform