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Learnerbly's Journey to Data Centralization and Efficiency with Fivetran
Technology Category
- Application Infrastructure & Middleware - Event-Driven Application
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Buildings
- Education
Applicable Functions
- Procurement
- Sales & Marketing
Use Cases
- Movement Prediction
- Time Sensitive Networking
Services
- System Integration
- Training
The Challenge
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.
About The Customer
Learnerbly is a learning and development marketplace that provides employees access to over 200 of the best learning content providers. Their platform promotes personalized learning, based on individual preferences, which results in 3X more engagement with workplace learning compared to other solutions. The company had recently completed its Series A funding round and was preparing for Series B. They had set two main objectives: to use data to drive revenue and to optimize and fix engineering processes to drive efficiency. However, they faced challenges in managing and utilizing their data, which was siloed across different departments.
The Solution
Learnerbly hired Nick Cameron as the first member of their new data architecture team. Nick was tasked with supporting the data needs of business units at scale, as a team of one, without engineering a bespoke solution. He chose Fivetran, a fully managed approach to data movement that a small team could use with minimal engineering input. Fivetran offered a breadth of connectors, including Lite connector offerings such as Chargebee, a critical source of financial data for Learnerbly. Fivetran also had a deep integration with dbt Core™, including a robust library of open-source data models. This allowed Nick to centralize the majority of his data movement workflows within one platform. With Fivetran, Learnerbly was able to automate the extraction, loading, and transformation of data, breaking down department silos and creating a single source of truth.
Operational Impact
Quantitative Benefit
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