Case Study: Freshly builds a more reliable data platform with Monte Carlo

Freshly’s Journey to Building Their 5-Layer Data Platform Architecture

Freshly, a meal delivery service, faced challenges with a basic data setup that couldn't support quick analysis and reporting, risking unreliable data for its data-driven decisions. To build a trustworthy modern data platform, they implemented the Monte Carlo data observability platform to monitor data quality and get alerts on issues.

By using Monte Carlo for automated data observability and lineage, Freshly gained the ability to proactively detect and address data quality problems like schema changes and pipeline errors before they impacted business users. This prevented decisions from being made on bad data, preserved stakeholder trust in their data platform, and allowed the data team to become a proactive part of the solution.

Freshly