Case Study: Aceable saves a week or more per project and reclaims BI analyst hours with data.world

A data.world Case Study

Preview of the Aceable Case Study

How Aceable saves a week or more on important projects by busting three data bottlenecks with data.world

Aceable, a fast-growing Austin-based edtech startup that delivers mobile-first, state-certified drivers ed and defensive driving courses to over 16 million students, needed faster, repeatable analysis for go-to-market decisions—things like market size by geography, sales throughput, student performance, and usage metrics. Before adopting data.world, analysts had to wait on developers to extract data from MongoDB into PostgreSQL, then wait on BI to prepare it and manually export to Excel, a process that could take a week or more per request.

Aceable implemented data.world to ingest MongoDB extracts and spreadsheets, run SQL queries directly, and export or link results to CSV, Google Sheets, or Excel, enabling single-person data ingestion, integration, and analysis. data.world eliminated three bottlenecks—developer cycles, BI analyst hours, and the MongoDB-to-Postgres step—saving the company valuable analyst time each week and cutting a week or more of waiting time per project, while enabling self-service access for new hires and easier integration of partner and acquisition data.


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Aceable

Erin Defossé

Chief Product Officer


data.world

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