Learnerbly, a learning and development marketplace, was facing significant challenges in managing and utilizing its data. The company had no dedicated data organization, leading to data being siloed across different departments. This lack of a consistent source of truth made it difficult to compare and corroborate records across different sources. It was also impractical to join records across data sources, which impaired their ability to service clients effectively across their entire life cycle. Furthermore, engineers were often diverted from product development to data operations. The company needed better access and control over its data to scale and attract enterprise clients, who have higher employee headcounts and more stringent demands regarding visibility into ROI of adopting a new platform.

Malt, an online freelancer marketplace, was facing challenges with its data ingestion process which was slowing down analysis. The existing custom-built ingestion framework lacked performance and reliability, and the company was spending too much time debugging data pipelines. The company's Head of Data, Olivier Girardot, was tasked with enabling a small analytics team to access insights and deliver maximum value to the business with fewer resources. The company needed a consistent, automated approach that could be run by two engineers. One of the main objectives was to analyze data from digital advertising to maximize advertising spend. Another challenge was regulatory compliance. Malt needed a solution that protected the personal information of freelancers when their data was moved to the data warehouse, ensuring it was kept within the European Union.