Case Study: ShopBack achieves faster, more reliable data-driven decisions with Sifflet

ShopBack saves many data team hours with Sifflet

ShopBack, a digital cashback platform operating across Asia and Europe, faced significant challenges with data reliability that hindered its self-service analytics culture. Teams across the company were spending excessive time verifying data accuracy with the data team, which was itself bogged down by manually investigating root causes of issues like missing data and duplicates. To address this, ShopBack implemented the Sifflet data observability platform.

By using Sifflet's data quality-as-code features and pre-built templates, ShopBack streamlined its data monitoring. The solution provided stakeholders with validated data, empowering them to make quick, data-driven decisions without constant verification. For the data team, Sifflet enabled a proactive approach to data quality, saving countless hours previously spent on identifying issues. This improved cycle time and built greater trust in data across the entire organization.

Shopback