Fivetran Customer Story: BetterCloud
Shaun Chaudhary, Senior Manager of Data & Analytics at BetterCloud, spent his time writing custom scripts for each of the company’s data sources, pouring over documentation to understand the best way to extract the data. Maintaining API scripts and debugging issues was time-consuming, and limited his bandwidth for data analysis.
As the company grew and added more applications to its tech stack, it needed to centralize the data from various systems into a database. Continuing to do this in-house would consume a considerable amount of time and resources, so the business began searching for a solution.
Ultimately, BetterCloud chose Fivetran to handle its data ingestion. The setup was quick and simple, and support was responsive. Prior to Fivetran, about 15% of Chaudhary’s time was dedicated to maintaining and building out connections to different systems. Now he could spend that time analyzing data rather than creating connections. With Fivetran, adding new connectors is seamless, and if BetterCloud adds another system, it knows it will have access to the data quickly. It recently added Jira to its stack, which helps it understand engineering inefficiencies.
Having a zero-configuration, zero-maintenance solution allows BetterCloud to fully leverage its data as it makes mission-critical decisions. The business can focus on building analyses and democratizing data. With correct, up-to-date data, Fivetran enables the BetterCloud data team to provide the entire organization with a single source of truth.
About BetterCloud: BetterCloud is the first SaaS Operations Management platform, empowering IT and security teams to define, remediate and enforce management and security policies for SaaS applications.
About Fivetran: Shaped by the real-world needs of data analysts, Fivetran technology is the smartest, fastest way to replicate your applications, databases, events and files into a high-performance cloud warehouse. Fivetran connectors deploy in minutes, require zero maintenance, and automatically adjust to source changes — so your data team can stop worrying about engineering and focus on driving insights.