Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns., using initiatives such as product thinking, data governance, and self-service platforms.
Director of Product-Data Platform at HelloFresh
With delicious recipes, high-quality ingredients and convenient meal solutions for every occasion, HelloFresh SE is on a mission to revolutionize the way people eat. To achieve this, data is used as a key strategic asset to maximize success. The data organization at HelloFresh, with 100 people spread across cross-functional domain teams of data engineers, analysts, scientists, and product managers, and another 50 people in central functions, plays a critical role in providing the business with reliable data to optimize marketing spend, improve the customer experience, optimize the supply chain, and reduce the overall cost structure.
To ensure a successful migration to a data mesh model, HelloFresh needed to invest in improving its data quality. Poor data quality can lead to inaccurate and incomplete decisions, wasted resources, and potential legal or financial consequences. The team needed to address this by introducing data product thinking across cross-functional domain teams and establishing an effective data governance function. The team realized that the only way to do this was with a self-service data quality platform. This self-service platform would need to integrate with their existing infrastructure and include built-in governance capabilities, such as interfaces for global policy monitoring and easy setup of data quality tests. This would enable both domain team autonomy and enterprise-wide alignment of data quality monitoring to improve feedback loops, innovate faster, and increase business confidence.
After an extensive selection process, the data organization at HelloFresh selected Soda Cloud as its self-service platform for managing data quality and data governance. The team at HelloFresh wanted a tool that could be easily used by people with analytics or data science backgrounds - who have some SQL knowledge, but not much coding experience. The decision to partner with a vendor rather than build a tool from scratch came from the realization that creating a user interface, the automations, and the monitoring would require significant resources, justifying the investment in a third-party solution. For HelloFresh, Soda Cloud proved to be the ideal platform because of its self-service capabilities and built-in governance principles. Implementing this system would be easy because there was no new technology to learn; the team could just take it off the shelf and get started: the rough timeline for implementing Soda Cloud was only three fiscal quarters, from evaluating different vendors in Q1, to the beta rollout of Soda Cloud in Q2, to releasing the tool for use by cross-functional teams across HelloFresh in Q3.
Scale and coverage across 1000s of datasets
Low-code, extensible, and flexible
Seamless integration across the entire stack
HelloFresh chose Soda Cloud to address key data-related issues such as data quality, governance, and mindset. With this platform, their core data teams now have access to the tools they need to confidently invest in improving data quality. In addition, this tool reduces much of the manual work associated with reviewing large data sets, while encouraging and rewarding the team for investing in data quality. With increased data ownership and data literacy - and better data than ever before - Soda Cloud has become an important factor in HelloFresh's transition to the data mesh model, and a key enabler in helping HelloFresh succeed in its mission to change the way people eat.
Blog: In Data We Trust
Read about HelloFresh’s efforts to improve data literacy and data quality across the organization.