Case Study: SpotOn reduces data time-to-action by 6x with Metaplane

How SpotOn reduced time to actionable data by 6x and increased data engineering contribution by 8.5x using Snowflake, dbt Cloud, and Metaplane

SpotOn, a mobile payment technology company, faced significant data challenges as it scaled. Their legacy Postgres database caused slow performance, failed ETL jobs, and inaccessible data, creating a bottleneck for the entire business. The data engineering team, led by Ben Cohen, struggled to keep up with requests and could not support new advanced analytics use cases, threatening the organization's growth and trust in its data.

By implementing Metaplane for data observability, alongside Snowflake and dbt Cloud, the vendor provided a solution that scaled their data capabilities. The results were dramatic: Metaplane reduced the time to identify data quality issues from days to seconds, helping to rebuild and retain trust. This contributed to an overall 6x decrease in time to actionable data and an 8.5x increase in engineering contribution, allowing the data team to support more advanced use cases and power business growth.

SpotOn

Ben Cohen

Data Engineering Team Lead