Case Study: TIM achieves more independent, collaborative data workflows with Keboola

TIM boosts collaboration with Keboola’s 150-member community

The customer, a data analyst named Tim from a company using Keboola as an ETL solution, faced challenges with separate data environments and a lack of collaboration. His workflow was slowed by a dependency on IT specialists to prepare data pipelines, and he struggled with versioning code in his Jupyter Notebooks for ad hoc analyses and sharing know-how with his team.

Keboola provided a solution with its integrated platform, offering one-click Python workspaces with automatic versioning and shared code features. This granted Tim independence from DevOps for managing his own environment and enabled easier collaboration. The solution allowed him to deploy code to production with a single click, scale machine performance as needed, and store reusable code pieces for his coworkers, ultimately making his data science development more efficient and decoupled from lengthy dependencies.

TIM