Case Study: Nextbite achieves faster data quality monitoring and issue resolution with Sifflet

Managing data quality at scale in the restaurant services industry with Sifflet

Nextbite, an all-in-one virtual restaurant solution, partners with numerous services in the restaurant industry and relies heavily on external data sources. Their Data Engineering team faced the ongoing challenge of consolidating this data while guaranteeing its quality, a problem they brought to Sifflet to solve.

Sifflet implemented its data quality platform, using its Auto-coverage feature to deploy approximately 100 essential checks in minutes. The solution leveraged machine learning to monitor cyclical data trends and provided robust incident management reporting. This saved Nextbite several weeks of development time, saves the team roughly 3 hours per week in manual error tracking, and proactively identifies 1-2 data provider issues weekly before they can impact business reporting.

Nextbite

Ross Serven

Director of Data Engineering